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Digital Transformation: Why Your Projects Succeed… Then Systematically Fail

Auteur n°3 – Benjamin

By Benjamin Massa
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Summary – In the absence of lasting structures, your digital initiatives spike in efficiency before fading: diluted responsibilities, unclear priorities, and ad hoc maintenance hinder progress and inflate digital debt. One-off projects deliver fast (MVP/POC) but collapse without sustainable integration for lack of clear roles, end-to-end workflows, and formal governance.
Solution: establish dedicated roles (product/process/data owners), formalize processes, and create a permanent steering committee to turn each project into continuous evolution.

Most companies approach digital transformation as a series of temporary initiatives: a roadmap, a pilot, a rollout. These efforts create a surge in efficiency and deliver quick wins but struggle to generate lasting impact.

A few months after go-live, everything dissipates: responsibilities diffuse, priorities blur, and the ability to evolve stalls. The real challenge isn’t technical but organizational: without dedicated internal structures, digitalization stagnates. Let’s explore how to shift from a series of standalone projects to a structured, business-IT aligned system to build an enduring enterprise digital transformation.

The Paradox of Digital Projects

Digital projects enable you to launch, test, and deliver new solutions quickly. However, as temporary initiatives, they don’t integrate into the organization’s long-term structure.

Short-Term Efficiency

Digital projects are designed to deliver a defined scope within a short timeframe. They assemble cross-functional teams, concentrate decision-making, and generate positive momentum. This approach allows you to test new tools or processes with a controlled budget and visible results within the first few months, following an MVP (Minimum Viable Product) logic.

This agile format also facilitates team buy-in, since responsibilities are temporary and the scope is clear. Project sponsors benefit from tight governance and structured reporting, meeting the demands of executive management and CIOs/CTOs.

However, this “proof of concept” phase can obscure the need for a broader, both organizational and technical, integration into existing business processes.

The Ephemeral Nature of Projects

By definition, a project is time-bound. Once the goal is met, the dedicated governance stops, project committees disband, and the sponsor moves on. Teams then focus on new initiatives, and the traceability of past decisions becomes unclear.

This temporality is a strength for rapidly initiating digital transformation, but it creates a void once the project closes. POCs do not automatically transform into sustainable solutions: evolution and maintenance are managed ad hoc, without a defined roadmap.

The contradiction is striking: what accelerates digitalization often prevents its sustainability, because the organization doesn’t adapt to take over.

What Happens After Project Closure

The lack of defined roles and responsibilities creates a decision-making vacuum. Once the project ends, no one takes ownership of ongoing governance or arbitration.

Key Roles Disappear

During the project phase, product owners, process owners, and data owners are clearly identified. They schedule sprints, prioritize user stories, and approve deliverables. This clarity ensures functional and technical coherence.

After delivery, these roles disappear. Business teams no longer know whom to approach for enhancements, and IT becomes a mere executor, without decision-making power. Tickets pile up, digital debt grows, and responsiveness declines.

This phenomenon generates latent conflicts: each party believes the roadmap belongs to the other, and the system remains stuck without a permanent driver.

Decision-Making Ambiguity and Incoherent Prioritization

Without structured governance, decisions are made ad hoc. Urgent requests get fast-tracked, while strategic priorities wither for lack of arbitration. The shared backlog becomes a catch-all, with no scoring criteria or steering committee.

This absence of rules leads to frequent pivots, redundancies, and cost overruns. Teams navigate blindly, with no shared KPIs or coherent scaling plan.

The risk, then, is that the initial digital tool loses its value because it evolves not according to real business needs but in response to one-off emergencies.

Example: A Cantonal Administration

A Swiss public service set up a digital requests portal for its citizens. The project, executed in agile mode, was praised for its intuitive interface and reduced processing times.

After go-live, the project manager left the organization, and no governance processes were formalized. Regulatory updates were deferred, leading to non-compliance and a 35% increase in support calls.

This case illustrates that even technically flawless public projects can fail without sustainable decision-making structures.

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The Impact of Missing Organizational Structures

Without a dedicated digital organization, every new enhancement is treated as a new project, slowing down decisions and aging systems.

Proliferation of Ad Hoc Projects

Whenever a change request arises, it is handled as an isolated mini-project. Teams repeat the full cycle of analysis, estimation, and testing without reusing prior work or leveraging lessons learned.

This siloed approach creates redundancies: several teams may develop similar modules in the absence of a global vision. Development and maintenance costs skyrocket, and system coherence declines.

This phenomenon is particularly critical for SMEs and mid-sized companies with limited IT resources. Without structure, each enhancement becomes a financial and organizational drain.

Aging Systems and Technical Stagnation

A lack of a cross-functional IT roadmap leads to unchecked application aging. Security and performance updates are postponed for fear of disrupting operations, which increases technical debt.

Over time, the accumulation of layers and forks makes any modification complex. New features require workarounds, hindering scalability and system resilience. Digital debt thus becomes a major barrier to innovation.

Without a long-term vision, an organization’s digitalization remains fragmented, lacking true architectural and functional coherence.

Example: A Swiss Service Company

A financial services firm had multiplied digital projects—client app, partner portal, chatbot—without ever consolidating governance or documentation. Each delivery relied on a different codebase, with no reuse or process alignment.

After two years, IT teams spent 60% of their time maintaining ad hoc scripts and fixing incompatibilities, leaving little room for new developments. The overall system had become too risky to integrate new modules.

This case demonstrates that an ecosystem without organizational structures ultimately undermines the very agility it sought.

Key Steps to Structuring Sustainable Digitalization

To endure, digital transformation must be embedded in the organization through dedicated roles, end-to-end processes, and clear governance. This is what separates temporary success from sustainable digitalization.

Define Clear Ownership Roles

Establishing product owners, process owners, and data owners ensures continuous oversight of changes. These roles maintain a permanent link between business and IT, prioritize development based on business value, and arbitrate conflicts.

The product owner carries the product vision and ensures business objectives are met. The process owner maps and optimizes end-to-end workflows. The data owner secures data quality and consistency via Master Data Management (MDM) within the digital ecosystem.

Implement End-to-End Processes

Value doesn’t arise from software alone but from its integration into business processes. Defining clear, documented, and aligned process flows is essential to scale a digital initiative.

Processes should cover request governance, KPI tracking, testing cycles, and incident management. Each step is formalized, with SLAs, a steering committee, and regular reviews.

This cross-functional approach prevents silos and ensures optimal IT-business coordination, guaranteeing a consistent user journey and continuous updates.

Establish Structured Governance

Governance is the layer that makes digital transformation manageable. Without decision-making rules, prioritization becomes chaotic. With a strategic committee, an operational committee, and a validation framework, arbitration is transparent and swift.

Initiative prioritization is based on a scoring system combining business impact, operational risk, and expected costs. Committees meet regularly, ensuring constant alignment with the overall strategy.

This structure turns each project into the starting point of a continuous improvement cycle rather than an isolated phase.

Adopt a System-Oriented Model for Sustainable Digitalization

Most digital transformations are confined to project-based action peaks. To generate lasting value, roles, processes, and governance must be embedded within the organization. This way, each initiative becomes a springboard for the next, and the ecosystem continually enriches itself.

Our Edana experts help companies structure their digital operating model, avoiding vendor lock-in and favoring modular open source solutions. We tailor each architecture to the business context and implement the roles and processes that ensure coherence, ROI, and longevity.

Discuss your challenges with an Edana expert

By Benjamin

Digital expert

PUBLISHED BY

Benjamin Massa

Benjamin is an senior strategy consultant with 360° skills and a strong mastery of the digital markets across various industries. He advises our clients on strategic and operational matters and elaborates powerful tailor made solutions allowing enterprises and organizations to achieve their goals. Building the digital leaders of tomorrow is his day-to-day job.

FAQ

Frequently Asked Questions about Sustainable Digital Transformation

Why do digital transformation projects fail after the pilot phase?

Digital pilot projects generate a spike in efficiency but struggle to last without a sustainable structure. Once the pilot phase closes, responsibilities and governance disappear, leaving maintenance and updates without an owner. Without dedicated roles and a continuous roadmap, the solution stalls, priorities become unclear, and digital debt grows, compromising long term impact.

How can you shift from a project based approach to a sustainable digital system?

Adopting a systems model instead of a series of isolated projects requires setting up a product system roadmap, end to end processes, and clear roles. Each initiative is part of a continuous improvement cycle with steering committees and a shared prioritized backlog. This approach ensures coherence, traceability, and scalability of solutions beyond go live.

Which key roles should be established to ensure digital sustainability?

The Product Owner drives the product vision and prioritizes features in direct collaboration with the business. The Process Owner optimizes end to end workflows. The Data Owner ensures data quality and consistency through Master Data Management. Together these roles provide continuous oversight, clear decision making on enhancements, and a constant link between IT and operations.

How do you define effective governance for continuous digitization?

Effective governance is based on regular strategic and operational committees, a clear validation framework, and scoring criteria for prioritization. Decisions are made by balancing business impact, risks, and costs. SLAs, shared indicators, and periodic reviews ensure transparency and agility in managing changes.

Which end to end processes should be implemented to align IT and business?

Implementing end to end processes means documenting and aligning each step from change request to delivery, including test cycles and incident management. Formalize request flows, define SLAs, hold KPI reviews, and maintain a common backlog. This cross functional vision prevents silos and ensures a seamless user experience.

How can you avoid technical debt and system aging?

To limit technical debt and system aging, set up a cross functional roadmap, regularly schedule security and performance updates, and favor modular open source architectures. Capitalize on existing components, document changes, and automate deployments to keep your application portfolio scalable and secure.

Which performance indicators should be tracked to manage digital transformation?

Track KPIs such as request cycle time, adoption rate of new features, data quality metrics (errors and duplicates), number of incidents resolved, and value return. These indicators provide a clear view of digital transformation performance and allow roadmap adjustments based on actual results.

How can you capitalize on lessons learned for each new development?

Capitalizing on lessons learned requires documenting each project phase, maintaining a historical backlog, and regularly analyzing user feedback. Reuse validated components and processes, update the roadmap according to insights, and share this feedback at committee meetings to inform future evolutions.

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