The metaverse, ubiquitous in the rhetoric of digital giants, evokes as much enthusiasm as skepticism. Behind the promises of an immersive internet with revolutionary interactions lie major technological challenges, often underestimated by promoters. The necessary infrastructures, user experience, computing power, and platform interoperability remain largely in the experimental stage. Yet, concrete use cases are already emerging, particularly in industry and training, inviting companies to explore this new territory. In this article, we demystify the metaverse, analyze its technical foundations, and identify the levers for launching useful and sustainable MVPs that align with your strategic goals.

The True Technological Barriers to the Metaverse Today

The architectures required to support a large-scale immersive universe are still at the proof-of-concept stage. Latency, bandwidth, and real-time computing constraints remain major obstacles.

Infrastructure and Computing Power

Metaverse platforms rely on servers capable of processing simultaneous high-resolution 3D streams for thousands of users. These computing loads demand the latest-generation GPUs and distributed data centers to ensure a smooth experience.

Several cloud providers already offer specialized instances, but costs remain prohibitive for large-scale deployments. Companies must therefore anticipate significant investments or consider hybrid architectures combining on-premise servers and edge computing.

These infrastructure choices directly impact the total cost of ownership (TCO) of the project. Without rigorous planning, budgets can quickly spiral out of control, driven by scaling fees and proprietary software licenses.

User Experience and Immersive Ergonomics

Immersion relies on VR/AR headsets, controllers, and gesture interfaces. Each piece of equipment introduces ergonomic limitations: weight, bulk, usage duration, and thermal comfort.

Early feedback highlights the risk of visual fatigue and nausea, hindering professional adoption. Sessions must be short and contextualized—better suited for demonstrations or targeted training than prolonged daily use.

Interfaces must also ensure quick onboarding without multiple calibration phases. In an industrial context, for example, a latency of even a few milliseconds or an inaccuracy of a few millimeters can compromise operator safety.

Interoperability and Open Standards

The promise of a universal metaverse relies on open protocols that allow avatars, objects, and environments to move freely between platforms. Today, however, each player offers its own proprietary, siloed ecosystem.

Initiatives around Web3D standards and unified APIs struggle to take shape. Specifications remain embryonic and do not cover all use cases, notably real-time synchronization and digital rights management.

In the absence of technical consensus, companies risk vendor lock-in. A metaverse project built for a specific runtime can become obsolete if the provider changes direction or pricing.

Metaverse Project Example in the Banking Sector

A banking institution piloted a virtual showroom for its premium clients. Despite an appealing concept, server overloads during simultaneous session openings caused service interruptions, forcing the team to revise the initial architecture and deploy edge servers across Europe to reduce latency.

Concrete Use Cases and Varying Metaverse Maturity by Sector

The metaverse is not a single product but a collection of immersive solutions whose maturity varies by industry. Some sectors can already benefit from targeted virtual experiences, while others remain in internal R&D phases.

Industry and Augmented Maintenance

In manufacturing, augmented reality is emerging as a first step toward the metaverse. Technicians use headsets to view 3D instructions overlaid on machines, reducing errors and downtime.

These applications require precise environmental mapping and sub-50 ms latency to synchronize images with movements. Sessions typically last less than 30 minutes, matching the duration of maintenance tasks.

Predictive maintenance becomes more effective when IoT data is integrated in real time into the immersive view, enabling earlier anomaly detection and better planning of interventions.

Immersive Training and Onboarding

Virtual training is growing in security, healthcare, and aerospace. Immersive simulations replicate hazardous scenarios without risk to learners, reinforcing retention and responsiveness in critical situations.

These environments demand sufficient graphical realism to engage users while maintaining optimal fluidity. Educational content must be modular to adapt to different profiles and skill levels.

Companies report a 30–50 % reduction in training time compared to traditional methods, while ensuring a high level of operational safety.

Retail and Virtual Showrooms

Retail is experimenting with immersive showrooms where customers explore products at 1:1 scale and customize options. These experiences boost engagement and loyalty.

To ensure visual quality on headsets and mobile devices, 3D assets must be optimized with adaptive levels of detail. WebXR browsers play a key role.

E-commerce integrations also require robust APIs to synchronize stock and pricing in real time.

Example of Metaverse Technology Use in the Industrial Sector

An industrial SME deployed a VR simulator to train operators on specialized machinery. Thanks to a hybrid cloud platform and an optimized rendering pipeline, it reduced incidents related to new equipment handling by 40 %. This demonstrates how the metaverse can deliver concrete applications in maintenance and support, especially in manufacturing.

{CTA_BANNER_BLOG_POST}

Essential Technical Foundations for an Immersive Internet

To overcome current barriers, the metaverse must rely on robust technological building blocks: edge computing, artificial intelligence, and high-performance networks. Each plays a key role in ensuring an immersive experience that contributes to business value.

Edge Computing and Geographical Distribution

Edge computing brings compute resources closer to end users, minimizing critical latency for 3D scene synchronization. It becomes indispensable when applications demand millisecond-level responsiveness.

Companies must design a multi-node architecture distributed across key regions. Data replication must remain consistent, for example via Kafka messaging or distributed databases.

This hybrid approach—combining central cloud and local edge—optimizes costs and ensures a seamless experience for geographically dispersed users.

Generative AI and Asset Optimization

Artificial intelligence can automate the creation and compression of 3D models, generating realistic textures on the fly. Adaptive upscaling algorithms reduce packet sizes without compromising visual quality.

AI solutions in the rendering pipeline also offer collision detection and occlusion mechanisms, enhancing the fluidity and precision of real-time interactions.

These services can operate in a serverless, elastic mode to absorb activity spikes during large-scale virtual events.

Connectivity and Data Sovereignty

The volume of data exchanges and the sensitivity of immersive content demand a high-bandwidth, reliable, and secure network. Companies should evaluate quality of service (QoS) and leverage VPNs, SD-WANs, or dedicated links.

Data sovereignty becomes critical when sensitive or personal data is processed in the metaverse. Choosing Swiss or European hosts ensures nLPD or GDPR compliance and addresses data localization requirements.

Governance of these flows must include end-to-end encryption and granular access policies to prevent leaks or unauthorized use.

Example in the Public Sector

A government agency is piloting a metaverse project for citizen consultation. It deployed edge nodes across multiple local data centers and an AI system to dynamically compress assets, ensuring smooth access even at a distance. Such initiatives are multiplying and form one of the pillars of tomorrow’s web. In this context, data security is paramount, and various measures—such as those in generative AI for governments and public services—must be implemented.

Adopting a Pragmatic Approach and Preparing Useful MVPs

The metaverse must not become just a trend. The most mature companies first launch targeted MVPs that focus on concrete, measurable use cases. They incorporate open source, modularity, and agile governance.

Long-Term Strategy and Evolving Roadmap

Before any experimentation, it is essential to define precise business objectives: improving training, reducing maintenance costs, or strengthening customer engagement. These indicators will guide the MVP’s design.

The roadmap must be modular: each metaverse component—avatars, scenes, interactions—evolves independently, facilitating updates and the integration of new features.

Agile governance, bringing together IT, business units, and service providers, ensures continuous alignment between needs and technical priorities.

Open Source and Hybrid Ecosystems for an Independent, Evolving Metaverse

Adopting open source building blocks—WebGL engines, XR frameworks, decentralized protocols—limits the risk of vendor lock-in and leverages dynamic communities for rapid updates and patches.

Proprietary solutions can be integrated temporarily for quick wins, then replaced by open components as maturity and budget allow.

This hybrid approach enables rapid prototyping while ensuring a controlled transition to an evolving architecture.

Cybersecurity and Compliance from the MVP Phase

Even for a prototype, security must be baked in from the start. Access controls, strong authentication, and digital rights management are indispensable to protect assets and personal data.

Regulatory compliance, notably nLPD and GDPR, requires auditing immersive data flows and implementing activity logs. These practices, initiated during the MVP phase, streamline later scaling.

Penetration testing and automated code reviews help detect vulnerabilities as early as possible, before the project grows in scope.

Culture of Experimentation and Feedback

The metaverse remains a rapidly evolving field. User feedback should feed a backlog of continuous improvements. Internal pilot sessions offer valuable insights before broader rollout.

Measuring adoption, satisfaction, and business impact helps prioritize the most profitable initiatives. These metrics are then shared with steering committees to approve subsequent phases.

By embracing continuous improvement, companies mitigate risks and optimize time-to-market while preparing for measured scaling.

Turning Your Metaverse Ambitions into Concrete Projects

The metaverse stands at the crossroads of immersive technologies, edge computing, AI, and high-performance networks. Its promises are real, provided they rest on proven technical foundations and a clear business strategy.

Companies that embark on targeted, modular, and secure MVPs can quickly measure added value before scaling up. Open source, agile governance, and hybrid architectures are key levers for longevity and evolvability.

Faced with these challenges, our experts are at your disposal to co-construct your metaverse roadmap, define relevant use cases, and design your immersive setup in a secure, strategic manner. Together, let’s transform your ambitions into sustainable digital solutions.

Discuss your challenges with an Edana expert

Blockchain has now established itself as a strategic technological lever rather than just a buzzword. In business, it provides tamper-proof traceability, process automation via smart contracts, enhanced data protection, and asset tokenization for controlled digitalization. For C-level executives, IT directors, and digital transformation leaders, it is essential to distinguish relevant use cases, choose the right architectures and protocols, and anticipate scalability, governance, and security challenges. This article presents concrete applications, compares public, private, Layer 1 and Layer 2 technologies, and details best practices to manage risks and maximize the value of your blockchain projects.

Concrete Use Cases of Blockchain in Business

Blockchain is first and foremost an immutable distributed ledger, ideal for guaranteeing the provenance of information. It also enables automatic execution of business conditions via smart contracts.

At the heart of blockchain is a decentralized validation mechanism, ensuring no data can be modified without consensus. This operation meets the needs for traceability and transparency in highly complex supply or production chains.

In addition, smart contracts transform manual processes into automated workflows that are reliable and audited by all participants, without intermediaries.

Traceability and Provenance

Blockchain records every step of a logistics flow—from raw material to finished product—with timestamped, tamper-proof entries. Each transaction is verified and linked to the previous one, creating a continuous chain of information.

This transparency benefits both distributors and end customers, who can access a product’s complete history, boosting trust and regulatory compliance.

Example: An agri-food trading company deployed a private blockchain to trace coffee batch origins, cutting investigation time by 40% in quality-alert situations and improving responsiveness during sanitary inspections.

Automation via Smart Contracts

Smart contracts encode business rules (triggering payments, transferring access rights) as soon as predefined conditions are met. They execute automatically and are recorded on the blockchain.

This automation eliminates repetitive tasks and reduces human errors while ensuring a full and continuous audit of operations by all stakeholders.

For example, in the shared mobility sector, a smart contract can release payment for a vehicle reservation once check-in is validated and automatically calculate penalties for late returns.

Asset Tokenization

Tokenization represents a physical or financial asset (real estate, artwork, financial securities) as digital tokens on a blockchain. Each token embodies a fraction of the asset and can be securely transferred, sold, or managed.

This approach enhances liquidity and portfolio diversification while providing detailed traceability of successive owners and their associated rights.

For example, a real estate infrastructure consortium experimented with tokenizing co-ownership shares, enabling institutional and private investors to access traditionally illiquid assets more easily.

Technology Choices: Public, Private, L1, L2, and Hybrid Architectures

Selecting the right type of blockchain is fundamental to balancing security, performance, and governance. Public blockchains offer maximum transparency, while private ones guarantee participant control.

Beyond the public/private distinction, Layer 1 blockchains handle core storage and consensus but sometimes struggle with scaling. Layer 2 solutions attach to them to improve scalability and reduce transaction costs.

Finally, in many contexts, a hybrid architecture combining traditional databases with decentralized ledgers provides the best of both worlds, where a pure blockchain solution would not be cost-effective or necessary.

Public vs. Private Blockchains

Public blockchains (Ethereum, Avalanche, Solana) are open to everyone, ensure high decentralization, and offer complete transparency. They fit ecosystems where participants have no prior trust relationships.

In contrast, private blockchains (Hyperledger Fabric, Corda) restrict access to authorized members only, ensuring controlled governance and higher transaction throughput for organizations or business consortia.

Example: A mid-sized bank recently piloted a Hyperledger Fabric network to automate and secure interbank guarantee exchanges, achieving several thousand transactions per second while meeting confidentiality and internal governance requirements.

Layer 1 and Layer 2 for Scalability

Layer 1 blockchains implement the consensus layer and maintain the full transaction history. Their security is robust, but costs and latency can rise with more users.

Layer 2 solutions (optimistic rollups, zk-rollups, sidechains) offload some transactions off the main chain and periodically submit proofs or batches of transactions to Layer 1, reducing fees and speeding up confirmations.

This combination handles high volumes (micropayments, online gaming, IoT) while preserving the integrity of the underlying ledger.

Traditional Databases and Hybrid Architectures

For use cases that do not require full immutability or deep decentralization, a relational database or NoSQL system may suffice at low cost with proven maturity.

A hybrid architecture pairs these traditional databases with a blockchain module used only for critical data (certificates, compliance proofs, secure timestamps), limiting the transaction volume on the decentralized ledger.

From an ROI perspective, this strategy ensures performance and maintainability while securing the key components of the value chain.

{CTA_BANNER_BLOG_POST}

Mature Protocols and Selection Criteria

Ethereum post-Merge, Avalanche, Hyperledger and Corda are now proven pillars, each addressing specific needs in governance, EVM compatibility, and performance.

When choosing a protocol, examine ecosystem maturity, developer community, EVM smart contract compatibility, governance model, and technical roadmap.

Cybersecurity concerns, transaction costs, and energy consumption are also critical factors in validating a protocol’s suitability for an enterprise or consortium setting.

Ethereum Post-Merge and the EVM Ecosystem

Ethereum’s shift to Proof of Stake (Merge) has significantly reduced energy consumption and opened the door to more flexible governance. The EVM (Ethereum Virtual Machine) remains the reference for interoperable smart contracts.

With a rich ecosystem (dev tools, frameworks, wallets, oracles), Ethereum attracts a wide range of projects, from decentralized finance to enterprise NFTs.

However, transaction fees can remain volatile during peak demand, highlighting the value of coupling Ethereum with Layer 2 solutions or EVM-compatible sidechains.

Enterprise Solutions: Hyperledger Fabric and Corda

Hyperledger Fabric uses a channel model to segment exchanges between actor groups within a private network, ensuring modularity and fine-grained access control. It supports various consensus plug-ins and transforms existing processes into blockchain workflows.

Corda, originating in the financial sector, relies on a states & contracts object model and stands out for handling confidential transactions between peers without global data broadcast.

Example: A Swiss agricultural insurer implemented a Corda network to automate compensation payments after extreme weather events, reducing processing times and disputes by 60%.

New Approaches: Avalanche and Starknet

Avalanche combines fast, energy-efficient consensus with native EVM compatibility, enabling immediate deployment of existing dApps and near-instant transaction finality.

Starknet uses zero-knowledge proof cryptography (zk-rollups) to aggregate thousands of off-chain transactions while mathematically guaranteeing the validity of each batch submitted to the main chain.

These alternatives meet growing scalability and privacy needs while offering a more predictable cost model for very high-volume use cases.

Best Practices and Pitfalls to Avoid for Your Blockchain Project

A successful blockchain project relies on clear governance, rigorous cost evaluation, and an iterative implementation strategy. Rushed protocol choices or insufficient audits are risks not to underestimate.

Governance must define roles, voting rights, and network update mechanisms before launch. A cross-functional steering committee—covering IT, business and security—is indispensable.

Meanwhile, smart contract modeling should be audited by external experts to prevent vulnerabilities, and a phased scaling plan ensures network stability in production.

Governance and Security

Setting up governance, whether centralized or consortium-based, determines the network’s longevity. Anticipate evolving consensus rules, software updates, and private key management.

On the security front, smart contract code reviews by multiple independent teams, along with automated testing and load simulations, are essential steps.

Incident response procedures must be documented and rehearsed, with a remediation plan ready in case of a breach or targeted attack.

Costs and Auditability

The economic model of a blockchain project must cover transaction fees, infrastructure costs (nodes, storage), as well as audit and application maintenance expenses.

It is advisable to set up test and simulation environments to refine costing before production deployment. Real-time monitoring tools help track usage and optimize consensus parameters.

Auditability remains a major advantage: thanks to intrinsic traceability, regulators or internal auditors can validate business processes without resorting to costly external reports.

Scalability and Performance Management

The modular approach, with dedicated blockchain micro-services for each use case (payments, certification, document exchange), limits bottlenecks and facilitates scaling.

Leveraging Layer 2 solutions or specialized sidechains for low-value transactions boosts responsiveness and contains costs.

Finally, optimizing smart contract code (reducing algorithmic complexity, minimizing on-chain calls) lowers confirmation times and resource consumption.

Implementation Strategy and Support

An agile approach, in short cycles, allows you to quickly experiment with proof-of-concepts and adjust the roadmap based on operational feedback.

Managing internal and external communication ensures stakeholder buy-in and prepares the ecosystem to onboard new users and partners.

Expert support covering design, engineering, architecture, cybersecurity, and product strategy ensures overall coherence and a gradual upskilling of internal teams.

Leverage Blockchain as a Strategic Lever

Blockchain today offers proven applications for traceability, process automation, data protection, and asset tokenization. Technology choices (public, private, Layer 1/2, hybrid) should rely on a rigorous analysis of needs, expected performance, and governance constraints.

Mature protocols such as Ethereum, Hyperledger Fabric, or Avalanche—combined with an agile approach and security audits—guarantee sustainable deployment. By avoiding governance missteps, hidden costs, and scalability issues, blockchain projects can become true competitive advantages.

Whatever your maturity level, our Edana experts are here to design, develop, and secure your solution, from strategy to operational execution.

Discuss Your Challenges with an Edana Expert

Interfacing a web-based business workflow with an ERP such as SAP or Microsoft Dynamics is critical to ensuring operational efficiency while preserving the integrity of the core system. IT directors aim to automate processes without compromising stability, security, or the performance of their business backbone. Successfully achieving this integration requires selecting the right technical approach, mastering data flows, and coordinating internal and external teams. In this article, we’ll examine why this is a sensitive undertaking, how to carry it out without disrupting the ERP, and which alternatives to explore to align your digital roadmap with your business objectives.

Why Integrating a Web Business Workflow with an ERP Is a Strategic Imperative

Understanding the reasons and risks helps define a secure integration scope tailored to business needs.

ERP Sensitivity to Changes

ERPs like SAP or Dynamics are complex systems at the heart of financial, logistics, and HR operations. Any modification or overload can lead to performance anomalies, version conflicts, or broken data flows. It’s therefore crucial to treat integration as an architecture project, where every call, transaction, and added field must be clearly mapped.

Benefits for Operational Agility

An integrated web workflow can automatically orchestrate tasks, ensure precise traceability, and accelerate processing times between departments. End users enjoy an intuitive business interface, while the back office retains data robustness and consistency. Overall, this enhances the company’s responsiveness and competitiveness.

Concrete Example: Banking Onboarding Process

A mid-sized Swiss bank deployed a customer onboarding portal based on an open source solution. To avoid any disruption, the team implemented a lightweight REST connection to SAP, limiting reads/writes to key subscription cycle stages. The result: a 40% reduction in approval time with no recorded incidents on the ERP platform since launch.

Technical and Security Imperatives

Integration must rely on secure, authenticated APIs with strict access controls. Standard protocols (OAuth2, JWT) should be used and all exchanges encrypted. Additionally, an orchestration mechanism ensures transactional coherence by automatically rolling back any operation in case of error.

Architectures and Approaches for Non-Intrusive Integration

Adopting a modular architecture and a dedicated orchestration layer minimizes ERP impacts and eases workflow evolution.

Business Connectors and Adapters

Out-of-the-box connectors from SAP or Dynamics often cover common needs but can be too limited for specific business processes. Building a custom adapter based on an open source microservice allows fine-grained control over formats, mappings, and transformations without directly touching ERP components.

Middleware and Orchestration Platforms

Using an integration middleware strengthens isolation between the web workflow and the ERP. This intermediary layer orchestrates calls, manages queuing, rewrites messages, and ensures resilience. It provides centralized metrics and logs—essential for quickly diagnosing any issues and maintaining continuous flow monitoring.

API-First and Microservices

An “API-first” approach built on microservices ensures component independence, simplifies future upgrades, and reduces vendor lock-in risk. Each microservice handles a specific functional domain (order management, regulatory validation, invoicing) and communicates via REST or GraphQL APIs, leaving the ERP as the single source of truth for critical data.

Concrete Example: Logistics and Shipping

A Swiss logistics company implemented a web front end for shipment tracking, connecting to Dynamics via a dedicated Node.js microservice. This service encapsulates ERP schema changes, enabling any new version of Dynamics to integrate without overhauling the customer portal—freeing IT teams from time-consuming maintenance.

{CTA_BANNER_BLOG_POST}

Best Practices to Ensure ERP Stability

Implementing a rigorous validation cycle and proactive alerting mechanisms prevents surprises and guarantees service continuity.

Test Environments and Production Replicas

Before any deployment, it’s essential to validate the workflow in a mirror environment of production using anonymized data. This step measures performance impacts, tests load scenarios, and uncovers incompatibilities prior to go-live.

Automated Integration Testing

Automated tests should cover every scenario: creation, update, deletion, and rollback. CI/CD pipelines trigger these tests with each code change. A detailed report outlines response times, success rates, and immediately flags any functional regressions.

Real-Time Monitoring and Alerting

A dedicated monitoring system continuously analyzes key metrics (API latency, error rates, queue sizes). Defined thresholds trigger notifications to both technical and business teams, enabling prompt intervention before production is affected.

Concrete Example: Industrial Manufacturing

A Swiss electronic components manufacturer deployed a web-based quality workflow interfaced with Dynamics. After each workflow update, an automated test simulating thousands of entries validated performance. Grafana alerts identified an SQL query bottleneck, which was fixed within hours—preventing any ERP impact.

Exploring Alternatives and Hybrid Strategies

Evaluating various approaches (low-code, iPaaS, modular solutions) ensures integration fits your business and technical constraints.

Low-Code and No-Code Platforms

For simple workflows, low-code tools enable rapid deployment with native connectors for SAP or Dynamics. Their main advantage is speed, but they may face limitations in customization and performance. They’re ideal for standard processes or prototyping before full industrialization.

iPaaS for Multichannel Flows

Integration Platform as a Service (iPaaS) solutions synchronize numerous systems via a catalog of connectors and a visual development studio. They simplify complex workflow orchestration and centralized log management, while offering automatic scalability options.

Custom Modular Development

When security and performance are critical, bespoke modular development—structured as independent, open source components—provides complete freedom and ensures code aligned with your needs. Although requiring a larger initial investment, it guarantees longevity and no proprietary lock-in.

Vendor-Neutral and Open Source Strategy

To minimize vendor lock-in, favor open source building blocks and standard frameworks (Node.js, Spring Boot, .NET Core) interfaced via documented APIs. This creates a hybrid ecosystem where each component can evolve independently, supported by active communities—avoiding unexpected constraints and reducing your total cost of ownership.

Turning Your Integration Challenges into Growth Opportunities

Integrating a web workflow with SAP or Microsoft Dynamics without disrupting the ERP demands a methodical approach: clear requirements, modular architecture, rigorous validation, and proactive monitoring.

By combining open source, microservices, and integration platforms, you’ll achieve a scalable, secure solution aligned with your business strategy. Technical challenges then become levers for efficiency and competitive differentiation.

At every maturity level, our experts are ready to help design and deploy the integration best suited to your context. Feel free to reach out to discuss your needs and define the most relevant roadmap for your business.

Discuss Your Challenges with an Edana Expert

In many digital projects, meeting deadlines and budgets remains a major challenge. Business requirements constantly evolve, priorities shift, and initial estimates often prove overly optimistic. However, by adopting a structured, collaborative approach from the initial scoping phase, it is possible to minimize variances and deliver as expected. This article presents four concrete, proven levers—tailored for companies and organizations—to effectively manage the development of IT ecosystems, business applications, SaaS platforms, or mobile solutions. The objective: to ensure cost control, quality deliverables, and adherence to schedules without sacrificing the agility needed for innovation.

Realistic, Iterative Estimation from Initial Scoping

A pragmatic, evolving estimation guarantees that the budget stays aligned with actual needs. This adaptive approach avoids financial surprises and allows prioritizing essential features.

Story Mapping to Define Requirements

Story mapping involves structuring features as user stories, providing a clear view of business value. This process helps identify critical steps and highlights functional dependencies. By segmenting the solution into value-driven “slices,” it becomes easier to schedule milestones and estimate each batch with precision.

This visual format also serves as a discussion tool among IT teams, business stakeholders, and management. It prevents misunderstandings and ensures a shared understanding of the scope. Regular exchanges around the user journey map allow adjustment of content based on urgency and decision-maker feedback.

At each story mapping iteration, the team can reassess its estimation. Discussions about technical complexity and required effort become more factual—grounded in real feedback—rather than based on vague assumptions.

Participatory Budgeting with Stakeholders

Involving business and financial managers in budget creation enhances transparency. Everyone can voice their priorities and understand how each choice impacts overall cost. This co-construction avoids unilateral decisions that often inflate expenses during execution.

Participatory budgeting translates into workshops where stakeholders discuss implementation scenarios. High-ROI options can be clearly identified and funded first. As a result, the scope for maneuver becomes visible and trade-offs are made on objective criteria.

Once the initial budget is approved, it is documented as a living financial plan. Budget milestones, release gates, and alert thresholds are defined from the outset, facilitating decision-making throughout the project.

Dynamic Backlog and Continuous Re-Estimation

A dynamic backlog enables real-time adjustments to effort and associated budget. User stories are continually reprioritized, and each sprint or development phase includes a reassessment of their complexity. This prevents the tunnel effect, where underestimated tasks are discovered too late.

During each retrospective, the team compares initial estimates with actual time spent. This feedback feeds into the estimation model and makes each forecast more accurate. Frequent adjustments ensure budget tracking without extra reporting effort.

If a deviation occurs, scope reduction or reprioritization scenarios are immediately proposed to sponsors. They thus have clear options to meet schedule or budget requirements without compromising the solution’s core value.

Example: A Swiss e-commerce company implemented iterative estimation for its new delivery tracking platform. Through story mapping workshops with operational managers, it adjusted its budget for each functional slice. The project was delivered within planned limits, with an MVP operational by the second month.

Management Based on Transparency and Continuous Feedback

Open communication and regular checkpoints build trust among all stakeholders. Frequent feedback loops reduce expectation gaps and simplify decision-making.

Agile Rituals to Structure Monitoring

Agile ceremonies—such as sprint planning, daily stand-ups, and sprint reviews—are opportunities to measure progress and identify blockers. These rituals establish a steady rhythm, avoiding the “drive-by reporting” syndrome and ensuring immediate awareness of deviations.

Each daily meeting should not exceed fifteen minutes but must be structured enough to cover progress, obstacles, and arbitration needs. Tracking actions and decisions prevents costly backtracking and reinforces team accountability.

Sprint reviews allow presenting functional increments to sponsors and key users. This confirms alignment with expectations and permits action plan adjustments before new development begins.

Frequent Customer Demos to Validate Direction

Organizing demonstrations at the end of each iteration brings the product closer to real needs. Business user feedback is immediately incorporated into the backlog, eliminating unpleasant surprises during final acceptance.

The demo also validates UX/UI choices and functional performance. It can reveal usage gaps or optimizations needed to reduce time spent on post-deployment corrections.

The frequency of these demos can be adapted to project criticality: weekly for a critical MVP, monthly for incremental enhancements. The key is maintaining a continuous, fact-based dialogue.

Collaborative Decision-Making and Living Documentation

Scope or priority decisions should never be made in isolation. Bringing together IT, business, the Product Owner, and the vendor ensures all impacts—cost, schedule, risk, and business value—are considered.

Every decision is documented in a concise report accessible to all. This living documentation strengthens traceability and prevents divergent interpretations during execution.

Project management tools (e.g., talentless) are configured to display real-time budget and schedule KPIs. This allows the steering committee to intervene before significant deviations occur.

Example: A Swiss industrial group implemented bi-weekly demos of its new predictive maintenance app. Field operators’ feedback corrected misdefined use cases before the pilot, avoiding a month of post-go-live fixes.

{CTA_BANNER_BLOG_POST}

Proactive Risk Anticipation and Management

Early detection of deviations and a robust mitigation plan prevent issues from becoming critical blockages. Clear project governance holds every stakeholder accountable.

Continuous Deviation Analysis

Monitoring performance indicators (burndown, burnup, velocity) allows spotting deviations as soon as they emerge. Each deviation triggers an immediate review to identify causes and define corrective actions.

This analysis goes beyond schedules: it also includes code quality, test coverage, and pilot user satisfaction. A “project debt” indicator can be set to measure unresolved constraints accumulating over time.

Deviation reviews are scheduled weekly during critical phases and regularly during the run phase. This rigor prevents a minor deviation from escalating into a bottleneck.

Strict Scope Management

The initial scope defines a target boundary, but every project faces additional requests. A clear process for adding or removing features ensures each change is estimated and budgeted before approval.

The change request log captures all requests from business units or management. Each request is evaluated for cost-benefit and assigned a status (accepted, rejected, deferred).

This discipline prevents scope creep, which strains both deadlines and budgets. Decisions to freeze certain features during acceptance are made with full awareness of their impact.

Clear Project Governance and Defined Roles

A governance structure assigns responsibilities at every level: steering committee, business sponsor, Product Owner, Scrum Master, and development team. This hierarchy ensures decisions are made quickly and at the appropriate level.

The Product Owner’s role is central: defining the product vision, prioritizing the backlog, and validating increments. Their availability is essential for daily decision-making.

The Scrum Master or project manager ensures rituals are properly executed and commitments are met. They are the single escalation point for technical or organizational blockers.

Example: In a bank, establishing a weekly steering committee clarified client data reprocessing requests immediately. Thanks to this governance, deviations were detected during acceptance and resolved before deployment, with no impact on the planned budget.

A Truly Engaged Provider, Not Just an Executor

Choosing a partner who acts as an adviser and co-builder maximizes strategic alignment and responsiveness. Continuity of interlocutors and geographical proximity enhance operational efficiency.

Advisory Relationship and Co-Construction

An engaged provider brings technical expertise as well as business insight. They challenge processes, propose optimizations, and question initial assumptions. This advisory stance avoids replicating ineffective patterns.

Co-construction is embodied by joint workshops where every decision is made collaboratively. Interim deliverables are shared and approved before implementation.

The provider thus contributes to enriching the product roadmap and anticipating future needs, ensuring a realistic, scalable project trajectory.

Continuity and Dedicated Expertise

Assigning a stable team to the project, with a dedicated Product Owner and lead developer, ensures rapid skill acquisition and context mastery. Each member understands the history of decisions and trade-offs.

Continuity minimizes information loss due to staff rotations. Handover phases are limited and planned in advance. Time spent re-explaining the scope is significantly reduced.

This dedicated expertise model reinforces the provider’s accountability for meeting schedule and budget commitments.

Geographic and Cultural Proximity

Working with a partner in Switzerland or nearby mitigates time zone issues and enhances mutual understanding. Language and cultural differences are minimized, facilitating paired work.

On-site interventions also foster informal exchanges, which accelerate alignment. Regular meetings build trust and speed up response times to emergencies.

This geographic proximity helps reduce decision and intervention lead times—a key factor for meeting milestones.

Combine Quality, Timeliness, and Budget Control to Succeed in Your IT Initiatives

By combining iterative estimation, transparent management, proactive risk handling, and an engaged partner, it becomes possible to deliver IT projects on time and within budget. These four levers provide a solid foundation for any ambitious digital transformation, regardless of organization size.

Swiss companies, subject to high performance and security standards, can rely on a structured approach to balance agility, reliability, and financial control.

At Edana, our experts are mobilized to support every project phase—from initial scoping to production deployment. They bring experience in project management, modular architecture, and agile practices to secure time-to-market and optimize return on investment.

Parler de vos enjeux avec un expert Edana

In many companies, IT projects regularly exceed their initial budgets, leading to internal frustrations, delivery delays, and risks to achieving strategic ambitions. Without a rigorous framework from the planning phase, each deviation can quickly accumulate, affecting competitiveness and stakeholder confidence. However, understanding the underlying mechanisms and adopting proven practices can limit these gaps and ensure the financial and operational success of digital projects.

Business Implications of Budget Overruns in IT Projects

Budget overruns are common but entirely preventable. Rigorous control of scope and processes limits the risk of significant deviations.

Frequency and Business Impacts

In many organizations, over 60% of IT projects exceed their initial budgets, according to several industry studies. These additional costs can represent between 10% and 40% of the planned amount, thus consuming valuable operational margins.

When the budget balloons, teams focus their efforts on cutting immediate costs rather than creating value, slowing down innovation. Repeated delays can harm competitiveness, especially in sectors under heavy technological pressure.

Furthermore, budget overruns often force leadership to make short-term trade-offs at the expense of strategic vision. Unplanned expenses may cause other essential initiatives to be postponed, weakening the digital roadmap.

Ultimately, poor budget management directly affects time-to-market and deliverable quality, creating a vicious cycle of rework and stakeholder dissatisfaction.

Internal Tensions and Governance

A poorly controlled budget quickly creates friction between IT, business units, and finance. With each party pursuing sometimes divergent goals, the absence of coordination mechanisms worsens tensions.

Without regular steering committees, risks and overruns often remain invisible until invoicing. Information flows poorly and alerts don’t reach decision-makers in time.

This lack of transparency breeds distrust: IT is seen as unable to meet its commitments, while business units question the real value of deliverables.

To avoid this pitfall, it is imperative to establish budget review boards and clear, shared indicators among all parties from the project’s inception.

Why Budget Control Is Critical

Rigorous budget management secures the project’s trajectory and anticipates financial risks. It builds trust between IT, executive leadership, and operational teams.

By ensuring visibility into costs throughout the lifecycle, the company can adjust its action plan, make more informed trade-offs, and avoid costly last-minute overruns.

Moreover, solid budget governance fosters team accountability: everyone understands their allocated envelope and the rules for scope changes.

Finally, companies that control their IT budgets are often more responsive to unforeseen events and better positioned to seize strategic opportunities.

Anonymized Case Study: Swiss Banking Sector

A mid-sized Swiss bank experienced nearly 30% overruns on an internal web platform project. The absence of clear milestones and weekly budget reviews led to continuous scope adjustments.

By establishing a monthly steering committee with IT, finance, and business representatives, the bank realigned priorities and reduced deviations to under 5% in subsequent phases.

The increased transparency strengthened team trust and eliminated unproductive cost discussions.

In the end, the bank delivered its project on time, with functionality meeting expectations while drastically limiting cost overruns.

Common Causes of Budget Overruns in Digital Projects

Typical causes: incomplete requirements, uncontrolled scope changes, and vague scope definition. Clearly identifying these factors is the first step to regain control.

Incomplete Requirements Definition

Insufficient functional specifications leave room for interpretation and generate endless iterations. Each late clarification adds development and testing hours.

When business units haven’t formalized their needs in a structured way, IT must arbitrate between multiple options, delaying design and increasing costs.

Last-minute changes to incorporate unplanned use cases lead to local redesigns that impact the entire development chain.

A precise requirements document, validated upfront, is therefore essential to limit these costs related to initial scope ambiguity.

Uncontrolled Scope Changes (Scope Creep)

Scope creep refers to the gradual expansion of the initial scope, often driven by the desire to add value. Without a strict framework, each addition incurs extra costs.

This phenomenon is particularly common in agile projects when no formal change-control process exists to assess extra requests.

Late-added features are usually more expensive than during the design phase, as they require modifications to existing code, retesting, and documentation updates.

Defining a change-management mechanism with an evolution approval board allows you to measure the budgetary and decision-making impact before implementation.

Weak Project Management and Unclear Scope

Poor project governance manifests as ill-defined roles and responsibilities: everyone thinks they’re safeguarding the budget, but no one takes final ownership.

Without clearly identified milestones, tracking indicators often prove inadequate, hiding problems until it’s too late to act.

A management approach based on relevant budget KPIs (burn rate, milestone variance, end-of-project forecasts) is essential to detect deviations at the earliest signs.

A project charter defining scope, roles, deliverables, and acceptance criteria forms the basis of solid and transparent governance.

Concrete Example in Logistics and Transportation

A Swiss logistics provider saw its tracking platform budget soar by 25% due to unclear functional framing. End users submitted overlapping requests during the sprint without any budget evaluation.

By reorganizing governance around a single Product Owner and establishing weekly backlog reviews, the company halted scope creep.

The new structure realigned the project with its objectives, limiting budget impact to 3% in subsequent iterations.

Enhanced coordination also improved user satisfaction and deliverable quality.

{CTA_BANNER_BLOG_POST}

Understanding Billing Models: Time & Material, Fixed Price, and Hybrid

Each billing model offered by IT service providers and digital outsourcing firms has benefits and pitfalls. An informed choice avoids hidden costs.

Time & Material (T&M)

This IT budget management model bills actual hours consumed by technical and functional resources. It offers great flexibility, especially during exploration or prototyping phases.

However, the lack of a fixed total can obscure the overall cost and requires constant vigilance on time tracking.

Without weekly reporting and burn-rate alerts, T&M can quickly lead to unanticipated budget overruns.

To leverage it, implement a shared time-tracking tool between provider and client, with frequent review checkpoints.

Fixed Price

The fixed-price model sets a predetermined cost and scope. It allows companies to secure their budget, provided that requirements are perfectly defined.

If scope changes, each modification triggers an amendment, which can add delays and extra costs.

The main risk lies in an overly rigid initial specification, prompting the provider to include large safety margins to cover uncertainties.

A thorough scoping phase with co-design workshops reduces these unknowns and yields a fair, controlled fixed-price agreement.

Hybrid Model

The hybrid model combines T&M and fixed price: part of the project (e.g., scoping, workshops) is billed T&M, then development is delivered at a fixed price. It aims to balance flexibility and budget security.

This approach requires clear deliverable definitions and interfaces to transition smoothly between phases.

It can be complex to manage if transition criteria aren’t explicit or if phase objectives lack clarity.

Shared governance, outlining the criteria for moving from T&M to fixed price, ensures a smooth, controlled implementation.

Client Case: E-Commerce

An e-commerce retailer we support adopted a hybrid model for its site redesign. After a six-week T&M scoping phase, the bulk of development shifted to fixed price.

Thanks to a co-created requirements document, the transition occurred without major budget discrepancies.

Joint management anticipated minor T&M evolution requests without affecting the main fixed-price scope.

The project stayed within 4% of its budget while maintaining high responsiveness.

Best Practices for Scoping, Prioritizing, and Maintaining Budget Control

Following best practices is crucial to ensure a controlled budget framework while remaining ambitious on deliverables. A rigorous approach reduces the risk of overruns.

Establish Milestones and Budget Reviews

Structuring the project into interim milestones with formal reviews enables periodic checks of cost-to-progress alignment.

Each milestone should include a steering meeting reviewing burn rate, variances, and end-of-project forecasts.

In case of deviation, a quick action plan is defined, with scope trade-offs or resource adjustments.

This discipline fosters a culture of early warnings and avoids unpleasant end-of-cycle surprises.

Regular Prioritization and Trade-Offs

A business-value and budget-effort prioritized backlog ensures focus on high-ROI features.

An arbitration committee—comprising IT, business units, and finance—validates scope adjustments and reallocates resources as needed.

Dynamic prioritization based on clear indicators curbs scope creep and accelerates deliverable impact.

Tools like a budget Kanban board facilitate visibility over task status and associated costs.

Transparent Tooling and Governance

Using a shared time and cost management tool, accessible to both provider and client, guarantees transparency.

Automated reporting alerts on burn-rate variances and budget consumption per feature.

A consolidated dashboard lets decision-makers track budget evolution in real time.

By humanizing these data (comments, team feedback), you strengthen collaboration and accountability among all stakeholders.

Master Your IT Budgets to Drive Sustainable Growth

Budget overruns in digital projects are not inevitable. By precisely identifying causes of drift, choosing the right billing model, and instituting rigorous governance, you can keep costs under control without sacrificing deliverable ambition.

Whether your project is internal, outsourced, or hybrid, transparency, shared governance, and tracking tools are essential levers. Our experts are available to analyze your situation, help you frame your digital roadmap, and ensure the budgetary success of your projects—either by designing your product or service or by supporting you in project management.

Discuss Your Challenges with an Edana Expert

Automating HR processes is no longer optional but a strategic necessity for organizations aiming for agility and high performance. Operational leaders want to cut down on manual tasks, minimize errors, and deliver a seamless employee experience. By embracing a digital approach, companies free up time for higher-value activities and strengthen their appeal in the labor market. This article explores the tangible benefits of HR automation, compares SaaS, custom, and hybrid approaches, and provides a decision framework to choose the solution best suited to your business context.

Why Automating Your HR Processes Is Crucial

HR automation boosts productivity by eliminating low-value tasks. It also enhances data reliability and the employee experience.

Impact on Operational Productivity

Manual processes—such as time entry or leave management—consume significant resources and are prone to errors. By automating these workflows, HR teams spend less time correcting anomalies and more time on strategic activities like skills development and talent planning.

For example, a Swiss financial services firm we partnered with reduced the time spent on absence administration by 40% after implementing an automated workflow. This time savings enabled the HR department to launch targeted training programs, resulting in a 15% higher internal satisfaction rate.

Automation creates a virtuous circle: fewer errors, faster processes, and an enhanced reputation that attracts and retains top talent.

Improved Data Quality and Reliability

Repetitive tasks often lead to discrepancies across various systems—spreadsheets, HR management tools, payroll solutions. Automation synchronizes data in real time, reducing inconsistencies and the risk of legal non-compliance.

In one industrial example, a mid-sized manufacturer eliminated 95% of payroll errors caused by manual entry through an automated integration between its ERP system and HR software. This accuracy averted administrative penalties and bolstered employee trust.

A reliable database makes it possible to extract key metrics with a few clicks, forecast recruitment needs, and precisely manage labor costs.

Optimized Employee Experience

Today’s employees expect the same responsiveness for HR requests as they receive in their personal digital interactions. An automated HR portal provides instant answers to common questions, cuts down on email back-and-forth, and improves service perception.

In a Swiss tech SME we supported, activating an internal chatbot recently handled over 60% of leave and expense inquiries automatically, freeing the HR team for higher-quality one-on-one meetings.

This boosts employee engagement and reinforces their sense of belonging to a modern, responsive organization.

SaaS Solutions: Benefits and Limitations

SaaS solutions enable rapid deployment and controlled upfront costs. However, they come with scalability and integration constraints.

Ease of Deployment and Scaling

SaaS platforms are typically up and running within weeks, with no server installation or in-house software maintenance required. The vendor manages updates, ensuring immediate access to new features.

However, as discussed in our recent publication SaaS pay-per-user vs Custom Software, scaling can reveal performance limitations or additional costs, especially when you must extend licenses to significantly more users than initially planned.

A Swiss healthcare provider that migrated to a SaaS recruitment solution and deployed the tool in under a month had to renegotiate its pricing plan a few months later, resulting in a 25% increase in recurring costs.

Initial Cost and Total Cost of Ownership

Usage-based pricing avoids the upfront investment of custom development. Costs are predictable as monthly or annual subscriptions covering license, hosting, and maintenance.

Over the long term, however, cumulative fees may exceed those of a tailored solution. Subscriptions often scale with the number of modules and users, which can inflate the budget.

Vendor Lock-In Risk and Functional Flexibility

SaaS platforms offer many standardized features, but customization is limited to vendor-provided options. Adapting specific business processes can be impossible or expensive.

Moreover, switching providers becomes a complex project if data and workflows are locked into proprietary formats. The long-term dependency risk must be carefully evaluated.

{CTA_BANNER_BLOG_POST}

Custom Development: Flexibility and Control

Custom solutions ensure perfect alignment with your business requirements. They demand robust governance and internal or external expertise.

Alignment with Business Needs

A tailor-made development accounts for your workflows, business rules, and key indicators from the design phase. Every feature addresses a specific need, without overload or compromise.

A Basel logistics company we advised chose a custom solution to integrate scheduling management based on skills and regulatory constraints. This approach delivered precise planning from day one, without complex configurations.

The absence of superfluous functions ensures a clean interface and faster user adoption.

Scalability and Maintainability

A well-architected custom project relies on modular, open-source principles, facilitating the addition of new features and the evolution of business rules over time. The code can be updated and extended without disrupting the entire system.

However, this requires rigorous documentation and an automated testing strategy to avoid accumulating technical debt. Lacking these best practices can lead to a rigid, costly system to evolve.

Data Security and Sovereignty

In-house development offers full control over the handling of sensitive data, which is critical for payroll, performance evaluations, and personal information. Encryption and audit mechanisms can be tailored to regulatory requirements.

In a Geneva pharmaceutical company, data lifecycle control was decisive in obtaining approval from the data protection authority. Logs and access controls were designed to meet the strictest standards.

This level of sovereignty builds trust among internal and external stakeholders, especially during audits or regulatory inspections.

Hybrid Approach: Combining SaaS and Custom Solutions

The hybrid model merges rapid deployment with alignment to business specifics. It requires precise orchestration and robust interface management.

System Orchestration and Integration

A hybrid architecture relies on a data bus or lightweight integration layer that orchestrates exchanges between a standard SaaS module, internal microservices, and specialized databases. This infrastructure ensures both functional and technical coherence.

For instance, an insurance provider linked a SaaS recruitment module with an in-house matching algorithm service. API integration preserved the benefits of SaaS while enriching the solution with proprietary scoring.

Data warehouses and middleware guarantee traceability and resilience of exchanges.

Governance and Cost Control

Hybridization smooths investment: some components leverage the subscription model, while others incur one-off development costs. Portfolio governance is managed by cross-functional committees that decide on adding or evolving modules.

Automatically updated performance and cost indicators provide a consolidated view of expenses and operational gains. Adjustments can be made in days, without lengthy renegotiations.

This approach avoids disruptive platform changes while keeping each vendor’s scope clearly defined.

Accelerated Time-to-Market

By leveraging proven building blocks—whether open source or SaaS—you can rapidly launch critical modules while planning medium-term custom developments. This “quick win” strategy meets competitiveness requirements and quickly demonstrates value to stakeholders.

A Swiss public institution deployed an internal mobility request portal on a SaaS platform in three weeks, while simultaneously developing an integrated dashboard delivered three months later.

Short sprints and a dual-track roadmap foster agility and ensure a controlled, progressive rollout.

Optimize Your HR Processes for Greater Operational Efficiency

Automating your HR processes is a powerful lever to gain responsiveness, reliability, and employee satisfaction. SaaS solutions provide rapid deployment and simplified maintenance, while custom development guarantees full alignment with your business requirements. The hybrid model combines both worlds to balance agility and personalization.

Each approach has its advantages and constraints: the right choice depends on your specific situation, supported by in-depth technical and functional expertise. Our specialists guide you in building a modular, secure, and scalable ecosystem that meets your performance and longevity goals.

Discuss your challenges with an Edana expert

In many organizations, technical and functional knowledge of a digital system rests on a few key individuals. As long as these experts remain in place, everything seems under control. But the day one of them leaves the company, the absence of documentation proves catastrophic: every intervention turns into an information hunt, timelines lengthen, and costs skyrocket. IT leadership and project managers must understand that technical documentation is not a mere formality, but a vital necessity to safeguard the stability, scalability, and resilience of the software environments, APIs, or infrastructures on which their business relies.

Risk of Individual Dependency

When a single person holds the majority of your system’s critical knowledge, your organization is exposed to potentially major disruptions.

Limited System Understanding

When a project evolves without documentation, understanding its components becomes the privilege of its developer. Architectural diagrams, data flows, and implementation choices are never formalized, forcing each new intervention into empirical learning.

For each fix or update, developers first spend time exploring the code, searching for clues in tickets, or questioning colleagues. These steps extend development cycles and increase the risk of misinterpretation, which can lead to new incidents.

The direct consequence is a gradual slowdown of corrective and evolutionary maintenance. Your time-to-market stretches out, and your ability to respond to urgent business needs becomes weakened.

Increased Risk When Experts Depart

The departure of an expert without a formal knowledge transfer leads to the loss of crucial information. Evenings and weekends spent creating retroactive documentation often come too late, when business pressure is already high.

Replacements must piece together the puzzle without guidance, multiplying tests and cross-checks. Every micro-fix then carries a regression risk, potentially causing production incidents and undermining the system’s overall reliability.

This situation often leads to relying on external providers, who must begin with a lengthy and complex audit before they can intervene effectively.

Impact on Operational Continuity

Without clear documentation, uncovering module interactions can take several days of analysis. Every fix becomes its own project, with heavy and repetitive exploration, testing, and validation phases.

This weighs on daily operations, affecting feature delivery timelines and creating dissatisfaction among business units. End users experience this lack of responsiveness, which can damage the company’s reputation.

Example: A company contacted us after its production management systems were down for three days following the sudden departure of their sole backend developer. With no documentation, we had to reconstruct the API architecture, delaying the resumption of activity and incurring additional costs that could have been avoided if the architecture had been documented from the start.

Hidden Costs of Undocumented Interventions

Every undocumented intervention increases the time spent on research and testing. These hidden costs erode your IT budget in the long term.

Extended Resolution Times

Without documentation, each incident ticket requires lengthy investigations to locate the responsible code or component. Developers spend more time understanding than fixing, directly impacting their productivity.

Testing cycles are also extended to compensate for uncertainty. Potential regressions must be anticipated, and test coverage expanded, which increases workloads and deployment timelines.

In the end, a simple fix can become a multi-day—or even multi-week—project, rather than being completed swiftly to the benefit of performance and responsiveness.

Multiplication of Errors and Regressions

Lack of visibility into the system’s structure and interconnections leads to imprecise modifications. Developers hesitate over the impact of a change, which can cause undetected regressions during testing.

These regressions often appear in production, forcing emergency workarounds, successive hotfixes, and unscheduled deployments. The domino effect creates constant instability.

This climate of uncertainty breeds internal distrust: support teams receive more crisis tickets, and business units lose confidence in the IT department’s ability to provide a reliable service.

Unexpected Budget Overruns

External interventions become inevitable to make up for the loss of in-house skills. Consulting firms often charge by the hour and add significant costs for any preliminary audit.

Ultimately, the budget allocated to corrective maintenance rises uncontrollably, to the detriment of innovation projects. Decisions invariably revert to crisis resolution, and the strategic roadmap suffers.

Example: A Swiss banking client we worked with was dedicating 70% of its IT budget to maintenance due to a lack of documentation. This cutback left too little room for strategic developments and stalled the deployment of an omnichannel client platform for 18 months.

{CTA_BANNER_BLOG_POST}

Barriers to Evolution and Scalability

Without documentation, every new feature becomes a risky endeavor. Your ability to scale is hindered by system opacity.

Difficulty Integrating New Features

Teams waste time manually mapping dependencies and potential impacts. Interventions are ad hoc, without an overall vision or guarantees of system coherence.

Each addition or modification can create conflicts, require partial rewrites, or lead to technical workarounds, resulting in a patchwork of heterogeneous solutions.

This approach fragments the architecture and makes implementing new modules increasingly complex, limiting innovation capacity and extending time-to-market.

Delayed Time-to-Market

When everything relies on informal internal understanding, release planning becomes unpredictable. Estimated deadlines are consistently underestimated as technical unknowns accumulate.

Business units suffer recurring delays and eventually lower their ambitions, sacrificing growth opportunities. The lack of agility compromises competitive advantage.

Over time, the organization becomes unable to respond quickly to market changes or regulatory updates, losing responsiveness to better-equipped competitors.

Loss of Competitiveness

A poorly documented architecture crumbles under the weight of ad hoc fixes and evolutions. The technical debt associated with a lack of documentation becomes a major obstacle to any refactoring or migration.

Modernization projects require multiplied budgets and timelines to rebuild lost knowledge, often leading to partial or complete project abandonment.

Documentation: The Pillar of IT Governance

Documentation is not optional but the foundation of governance and management. It ensures the longevity and consistency of your systems.

Shared Knowledge Base

Structured documentation centralizes specifications, installation guides, APIs, and operational processes. Every collaborator can access and contribute to its evolution.

This fosters a culture of transparency and collaboration, reducing individual dependency and facilitating the onboarding of new hires or external partners.

The result is better workload distribution, increased responsiveness, and strengthened trust between IT teams and business units.

Enhanced Cross-Functional Collaboration

When documentation is integrated into workflows, validations between IT departments, architects, developers, and business stakeholders are based on a common, approved reference.

Exchanges become smoother, modifications are better framed, and acceptance tests are more reliable. The risk of misunderstandings or rework is significantly reduced.

Coordination between internal teams and external partners is simplified, ensuring deadlines are met and project budgets are controlled.

Compliance, Security, and Audit

For environments subject to standards or audits (ISO, FINMA, GDPR), having comprehensive documentation is a prerequisite. It certifies the traceability of changes and the controls performed.

In the event of a security incident, documentation facilitates fact reconstruction, root cause analysis, and the rapid implementation of corrective measures.

Example: A Swiss insurance group responded to a FINMA audit within 48 hours thanks to a rigorous documentation repository, thus avoiding sanctions and delays in its compliance projects.

Secure Your Knowledge: Make a Strategic Investment

Technical documentation is the guardian of your agility and resilience. It eliminates reliance on isolated experts, reduces maintenance costs, and simplifies system evolution.

By integrating it from the design phase and keeping it up to date, you set your digital infrastructure on a virtuous cycle of continuous improvement and risk management.

Regardless of your context, it is time to treat documentation as a pillar of your IT governance, not as a secondary task. At Edana, our experts can help you structure and optimize your documentation deliverables to secure your knowledge and ensure the longevity of your projects.

When we support our clients—whether in custom software development, AI solutions implementation, or web development—we always adopt a clear and effective documentation approach to make your infrastructure a growth enabler, not a debt.

Contact us now to discuss your challenges and determine the most suitable solutions for your context.

Discuss Your Challenges with an Edana Expert

Choosing between off-the-shelf software and a custom solution goes beyond a mere technical debate: it is a strategic decision that impacts process control, deployment speed, the total cost of ownership (including hidden costs), and long-term adaptability. On one hand, packaged tools are attractive for their rapid implementation and limited initial investment. On the other, custom development promises perfect alignment with business needs, complete freedom to evolve the tool at the company’s pace, and often lower or no licensing fees. In this context, the decision hinges on analyzing operational complexity, available resources, and—above all—a minimum three-year vision to secure competitiveness and total cost of ownership.

Control & Ownership

Code ownership and operational control are at the heart of long-term performance. Custom software ensures complete independence, whereas standard solutions can lock you into a proprietary ecosystem.

Source Code Control

A solution developed specifically for your needs provides full access to the source code, with no reliance on a third-party vendor. Internal teams or external partners can directly fix, optimize, or extend features without external constraints.

By contrast, off-the-shelf software often hides its internal logic behind a proprietary layer. Any customization depends on a single vendor, which can dictate licensing terms and update schedules. This may slow down responses to urgent business requirements.

Full code control also enhances security by allowing for internal audits, automated tests, and organization-specific monitoring mechanisms. Each new module integrates into a controlled CI/CD pipeline, ensuring consistency and robustness.

Among mid-sized companies, it has been observed that full access to their business application code reduces critical patch deployment times by 40% on average, without waiting for an external roadmap.

Intellectual Property & Licensing

Custom development grants your company full intellectual property rights over the software, with no recurring license fees or future code handback clauses. This status facilitates digital asset valuation and secures R&D investments.

In contrast, packaged solutions rely on license agreements that may change based on revenue, user count, or data volume. These financial clauses can generate unexpected costs at each scale-up.

Holding complete intellectual property rights also opens the door to modular evolutions, where each new module can be licensed or resold independently. This is a lever for innovation and monetization for large organizations seeking to diversify their offerings.

Finally, controlling licensing terms reduces the risk of disputes or service disruption in the event of a vendor’s policy change, preserving operational continuity.

Avoiding Vendor Lock-In

Custom solutions built on open-source technologies minimize the risk of being locked into a single vendor. Each component can be replaced or updated as needed without incurring significant additional costs.

By contrast, standard software tends to create a proprietary ecosystem from the outset. Cross-module dependencies can make any migration or replacement extremely costly and time-consuming.

Favoring open standards—such as popular web frameworks and free databases—lets you adjust the architecture without painful reversals. This agility becomes a competitive advantage in the face of evolving business requirements.

For example, one of our clients successfully migrated its standard CRM to a hybrid open-source solution, reducing annual licensing costs by 60% and freeing its IT teams from vendor constraints.

Implementation Timeline

The time required to deliver the first version is a key criterion, but it must be weighed against the depth of customization. Speed can mask a lack of long-term fit.

Custom: Time for Adaptation

Custom development requires a detailed analysis of business processes, functional design, and iterative validation. Each component is calibrated to meet the company’s precise needs.

This approach demands significant upfront investment in workshops, prototypes, and user testing. The onboarding of internal or external teams into the business domain also affects the overall timeline.

On average, an ambitious custom project spans several months—or even up to a year—before reaching a stable production state. This timeframe includes testing cycles and post-launch adjustments.

However, this preparation phase translates into fewer requests for rework or functional workarounds after deployment, delivering a better user experience and faster adoption.

Standard: Rapid Deployment

Packaged solutions often offer quick initial configuration thanks to pre-integrated modules and standard business scenarios. Deployment can be completed in a few weeks with minimal onboarding.

This speed is appealing during peak activity, urgent needs, or tight budgets, as it generates a short-term perceived ROI. Project teams can focus on user adoption rather than development.

However, beyond the pilot phase, many companies discover functional gaps. These gaps then require additional development or workarounds, extending the total timeline.

Scaling up often reveals architectural limitations ignored during the initial phase, leading to further iterations and unforeseen delays.

Impact on the Strategic Roadmap

A packaged solution can accelerate the launch of a business function, but it often imposes a roadmap dictated by the vendor. Evolution priorities depend on an external schedule.

In contrast, custom software aligns with your internal strategic plan. Each new version is scheduled according to the company’s roadmap, independent of a third party’s commercial vision.

This autonomy strengthens coherence between technological advances and business initiatives, ensuring controlled scaling aligned with competitiveness objectives.

Over the long term, this internal governance model ensures better synchronization between IT and business units, reducing time-to-market for critical innovations.

{CTA_BANNER_BLOG_POST}

Real Costs

Beyond acquisition price, comparison must include maintenance costs, licensing fees, and hidden expenses related to future changes. Multi-year total cost of ownership often reveals significant gaps.

Initial vs. Long-Term Cost

Off-the-shelf software offers an attractive entry ticket, usually billed per license or monthly subscription. Costs are predictable but can increase with user count or data volume.

Custom development requires a higher initial investment to cover analysis, design, development, and testing. However, it incurs no recurring license fees and guarantees full ownership.

Over a three- to five-year period, the absence of monthly subscriptions or external support fees can make custom software more cost-competitive than standard SaaS, especially for intensive and tailored use.

Projecting costs over the long term makes it clear that the total cost of ownership (TCO) of custom software can be optimized, provided that volume and business complexity justify the investment.

Hidden Expenses & Maintenance

A standard ERP or CRM often requires add-on modules to achieve satisfactory functional coverage. These add-ons carry their own acquisition and maintenance costs.

Each upgrade of the standard package may involve testing and fixing custom data flows. Certified integrator interventions are billed by the hour, increasing the annual bill.

Conversely, custom software benefits from automated update processes, internal documentation, and integrated unit tests, reducing corrective maintenance hours.

Using open-source technologies also lowers licensing costs and allows support expenses to be shared with the community or third-party providers without proprietary surcharges.

Case Study: A Swiss SME We Support

One Swiss industrial company we work with chose a standard ERP to shorten deployment time. After two years, it faced CHF 150,000 in extension and support fees, covering licenses, modules, and consulting hours.

Confronted with growing process complexity and soaring costs, it initiated a custom overhaul. The initial CHF 500,000 investment was amortized in under three years thanks to license savings and reduced integrator interventions.

Full code control allowed internal workflow adjustments without costly external customizations. Annual maintenance costs dropped by 70%, freeing resources for innovation projects.

This transition demonstrated that a well-considered custom development investment can deliver positive ROI when usage exceeds the scope of standard solutions.

Scalability & Durability

Building for the future from the start ensures the ability to absorb growth and integrate technological innovations. Custom software offers modularity adaptable to future needs.

Alignment with Business Processes

Custom software is born from a precise mapping of operational processes. Each screen and business rule corresponds exactly to actual workflows, minimizing gaps between tool and practice.

This alignment results in a streamlined feature set—only relevant functions are present—making adoption easier and reducing training needs.

If processes are reconfigured, you simply add or modify specific modules without disrupting the entire platform. Agility thus becomes a competitive advantage.

Modularity & Scalability

Custom development promotes a decoupled architecture based on microservices or independent modules, each responsible for a distinct business function. This segmentation simplifies scaling and isolated maintenance.

Resources serve only the components under load, optimizing cloud infrastructure usage and reducing hosting costs.

As data volume or user count grows, you can dynamically allocate more resources to critical services without impacting other modules.

This flexibility guarantees increased resilience during activity peaks or new requirements, ensuring operational continuity and stakeholder satisfaction.

Readiness for Technological Advances

A custom foundation is designed to accommodate new technology blocks (AI, analytics, external APIs) without a complete rebuild. Communication interfaces are planned from the architecture phase.

By adopting domain-driven design principles, each business domain evolves independently, ensuring seamless integration with existing systems.

This preparation avoids “big bang” technology shifts and allows rapid proof-of-concept launches before generalizing innovations.

The company thus maintains a leading position, able to absorb technological disruptions without jeopardizing operations or engaging in massive refactoring budgets.

Choosing a Solution Aligned with Your Objectives

Balancing speed, cost, and business fit guides the choice between standard and custom software. For simple, occasional use, a packaged solution may suffice. When complexity exceeds standard boundaries, custom development reveals its full potential in terms of control, scalability, and optimized total cost of ownership.

Analyzing your medium- and long-term needs, mapping your key processes, and considering intellectual property are essential steps to avoid costly overhauls and preserve agility.

Our experts are at your disposal to audit your ecosystem, challenge your assumptions, and guide you in defining or implementing the solution best suited to your digital strategy and growth ambitions.

Discuss your challenges with an Edana expert

Hyper-automation relies on orchestrating multiple technologies—RPA, BPA, IPA, AI, OCR, low-code—to finely automate the sequencing and optimization of business processes. It goes far beyond simple task robotics: it draws on real-time data collection, intelligent analysis, and the ability to dynamically reassign resources. This approach increases productivity, reduces the risk of errors, and frees teams to focus on higher-value activities. Swiss companies, facing reliability, compliance, and speed challenges, can thus profoundly transform their operating model.

What Is Hyper-Automation and Why Engage with It Now?

Hyper-automation is the convergence of multiple advanced automation solutions to orchestrate and optimize all business processes.It relies on AI, RPA, low-code platforms, and data analytics tools to multiply operational efficiency.

Definition and Scope

Hyper-automation involves combining technologies such as RPA (Robotic Process Automation), BPA (Business Process Automation), IPA (Intelligent Process Automation), and AI (Machine Learning, NLP) to automate not only repetitive tasks but also decision-making and the orchestration of complex value chains.

Unlike classic RPA, which is limited to script execution, hyper-automation introduces an “intelligent” layer: anomaly detection, predictive analytics, task reassignment based on workload and criticality, and even process reengineering recommendations.

It also includes low-code/no-code platforms so business users can directly define and evolve automated workflows, minimizing dependence on IT teams.

Context and Deployment Urgency

Pressure on IT and business departments to reduce costs, accelerate time-to-market, and ensure regulatory compliance continues to grow. In a VUCA (Volatile, Uncertain, Complex, Ambiguous) environment, operational resilience becomes a strategic lever.

Swiss companies, confronted with high quality requirements and a shortage of digital skills, can no longer be satisfied with siloed solutions: digitalization must be holistic and fully integrated.

Starting a hyper-automation project today lays the foundation for a more agile organization, ready to evolve with market demands and technological innovations.

Example in the Banking Sector

A Swiss banking institution conducted a hyper-automation pilot to manage its loan applications. By combining OCR, RPA, and AI for document analysis, the bank reduced processing time by 60 % and improved credit decision accuracy.

Concrete Benefits and Case Studies

Hyper-automation delivers significant productivity gains, improves service quality, and strengthens compliance.It offers a rapid ROI through lower operational costs and enhanced risk management.

Productivity and Efficiency

By automating low-value tasks, employees can focus on strategic missions, innovation, or customer relations. Processes run 24/7 without human error or downtime.

Cross-functional workflows are orchestrated seamlessly: one process triggers another upon validation, real-time notifications, and proactive anomaly escalation.

The result: shorter cycle times, higher internal and external satisfaction rates, and the ability to handle peak workloads without temporary staff.

Quality, Compliance, and Traceability

End-to-end automation integrates quality checks at every step and retains all activity logs and validation certificates. Audits become faster and more secure.

Embedded AI detects compliance deviations, flags suspicious cases, and enables targeted human intervention before any drift.

Regulated industries (finance, insurance, healthcare) gain peace of mind and reduce the risk of penalties.

Scalability and Agility

The modularity of hyper-automation platforms allows adding or removing components as needs evolve, without disrupting the overall ecosystem.

Organizations can quickly experiment with new processes, measure their impact via continuously updated KPIs, and deploy best practices enterprise-wide.

Swiss Example: Automated Invoicing Use Case

A Geneva-based industrial player implemented a hyper-automation solution for customer invoicing. Integrating BPA and machine learning enabled processing 20,000 invoices per month without manual intervention, with an error rate below 0.2 %.

{CTA_BANNER_BLOG_POST}

Comparison: RPA, BPA, IPA, and Hyper-Automation

Each approach covers a different scope and level of intelligence, from simple script execution to self-learning value chains.Hyper-automation represents the most advanced stage, combining orchestration, AI, and low-code for end-to-end automation.

RPA: Task Robotics

RPA creates “software robots” to emulate human actions (clicks, inputs, extractions). It’s quick to deploy but fragile: any interface change can break the script.

It applies to repetitive, structured, rule-based operations.

RPA is an accessible entry point, often used to demonstrate automation’s value.

BPA: Workflow Automation

BPA orchestrates end-to-end business processes through configurable workflows. It manages coordination between applications and stakeholders, includes routing rules and schedules.

Less responsive than RPA for unstructured tasks, BPA targets cross-functional processes (approvals, invoicing, order management).

It ensures traceability and can integrate collaborative portals.

IPA: Embedded Intelligence

IPA enriches BPA and RPA with cognitive capabilities (document recognition, natural language understanding, fraud detection).

It selects the optimal sequence of actions based on data, learns from feedback, and adjusts rules.

This is an intermediate step toward hyper-automation, adding adaptability and automated decision-making.

Hyper-Automation: End-to-End Orchestration

It federates RPA, BPA, IPA, AI, low-code platforms, and analytics to continuously manage and optimize all critical processes.

With dynamic dashboards, KPIs are available in real time, and every anomaly triggers an automated diagnostic and adjustment cycle.

This level maximizes resilience, performance, and seamless scaling.

Example in the Insurance Sector

A Zurich-based insurer deployed a hyper-automation platform for claims management: from declaration receipt to settlement, including damage assessment and fraud detection. Average processing time dropped from 45 days to under 7 days.

Implementation Challenges and Considerations

Implementing hyper-automation requires comprehensive organizational, technical, and cultural preparation.The main hurdles involve data governance, silo integration, and upskilling.

Data Quality and Governance

Hyper-automation relies on reliable, standardized data. Clear governance must be defined: cataloging, maturity, ownership, and security rules.

Without alignment on data quality, AI algorithms and cognitive workflows risk producing biased or erroneous results.

A data stewardship framework and profiling tools are recommended from the outset.

Interoperability and Integration

Hyper-automation solutions must interface with existing systems: ERP, CRM, ECM, databases. APIs, message buses, and middleware ensure smooth communication.

A hybrid approach, combining open-source components and custom developments, limits vendor lock-in and provides long-term flexibility.

A preliminary architectural audit identifies friction points and devises a phased integration roadmap.

Skills and Change Management

Operational and IT teams must acquire new skills: workflow design, robot configuration, and AI model maintenance.

Training, centers of excellence, and “citizen developers” (business users trained in low-code) help spread an automation culture.

Success requires change management support, business sponsorship, and rapid feedback loops (quick wins).

Security and Compliance

Robots and hyper-automation platforms often handle sensitive data. Strong authentication, encryption, and access traceability must be implemented.

Execution environments should be isolated and monitored via a SOC or SIEM.

Compliance with standards (GDPR, ISO 27001) and sector regulations (FINMA, Swissmedic) must be continuously validated.

Embrace Automation and Stay Competitive

By combining RPA, BPA, IPA, and AI within an orchestrated platform, hyper-automation becomes a powerful lever to transform your business processes, improve service quality, and boost organizational responsiveness. Swiss company case studies show that rapid gains are possible, provided data governance is ensured, interoperability is achieved, and change management is mastered.

Our experts are available to assess your maturity, define a tailored roadmap, and deploy an evolving, secure ecosystem that intelligently and sustainably leverages automation for your business.

Discuss Your Challenges with an Edana Expert