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AI Agents with MCP: Transformative Enterprise AI Within Reach

AI Agents with MCP: Transformative Enterprise AI Within Reach

Model Context Protocol (MCP) is an open standard designed to connect any AI agent to your data and tools in real time, making it more effective and relevant. Launched in November 2024 by Anthropic—the company behind the Claude AI service—MCP defines a common language to guide the AI to the right sources and actions, whether it’s an in-house model (custom AI hosted on-premises) or a third-party API such as ChatGPT or Claude. This enables the AI to interact with multiple systems and deliver much broader capabilities. For decision-makers and technology leaders, MCP means rapid deployment of intelligent (or AI assistant) agents that are contextually relevant and secure, without sacrificing business agility or increasing technical debt.

MCP: A Contextual Protocol for Ecosystem-Connected AI

The MCP protocol stands apart from classic approaches by standardizing exchanges between AI and enterprise systems, providing instant, secure access to business data and automated triggers within your IT landscape.

MCP acts as a universal translator: it turns an AI agent’s request into calls to databases, CRMs, ERPs, document repositories, or any other part of your IT stack, then returns structured context to the model. Where every new integration once required bespoke code, MCP lets you build one connector that works with all compliant tools. This openness accelerates evolution of your system while minimizing maintenance costs.

By choosing a widely adopted open-source standard like MCP, you avoid vendor lock-in and retain full control over your connectors and models. Plus, the MCP community continuously enriches adapters—whether for enterprise AI platforms or open-source frameworks—ensuring sustainable interoperability. Today, this standard has become essential for anyone integrating AI into their business processes and value chain.

High-Performance, Scalable, Customizable, and Secure AI Agents

MCP enables you to build intelligent agents that draw on real-time data from your key systems and orchestrate complex processes, while delivering modularity, scalability, and security.

Here are some examples of what MCP can bring to organizations that integrate it effectively:

  • Performance & Relevance
    MCP-powered agents can query your CRM, document management system, or application logs to generate context-aware responses, greatly increasing the business relevance of model outputs.
  • Scalability
    The standard protocol makes it easy to scale (adding new sources, handling increased traffic) without a full redesign—offering flexibility and true scalability.
  • Customization
    Each agent can be configured to access only the required business data and actions, optimize its tone and governance rules, and comply with regulatory requirements. This boosts flexibility and contextualization of your model.
  • Security
    MCP includes built-in authentication and auditing mechanisms under your control. No black-box data flows—every exchange is logged and access-restricted according to defined permissions. In Switzerland, and particularly in AI contexts, this level of security is crucial.

Enterprise Use Cases for MCP

From customer support to cybersecurity, and from administrative processes to IT operations, MCP powers AI agents that precisely address your business challenges.

  1. Customer Support
    Deploy a virtual assistant that consults the CRM and knowledge base in real time. Contextualized replies can cut first-level ticket volume by up to 30 %.
  2. HR/IT Automation
    An “Onboarding” agent can automatically create user accounts, send welcome emails, and update the ERP based on an HR form—freeing IT from repetitive tasks.
  3. Proactive Industrial Maintenance
    An MCP agent monitors critical machine metrics (or servers) via SCADA, IoT, or supervision systems, predicts failures through trend analysis, and auto-generates preventive maintenance orders in a CMMS—reducing unplanned downtime by 20 %–40 % and extending equipment life.
  4. Cybersecurity
    An automated watcher correlates SIEM alerts and event logs, notifies analysts, and suggests actionable remediation plans—improving average response times by 40 %.
  5. Business Intelligence
    A conversational tool can query your data warehouse and reporting systems to deliver on-demand dashboards and ad-hoc analyses without mobilizing data analysts.

These five examples are generic; the possibilities are endless and depend on each company’s challenges and resources. While standalone AI could automate certain time-consuming tasks, MCP supercharges automation by enabling AI to understand context, personalize its work, and interact precisely with its environment—making it far more effective in handling parts of your value chain. MCP will therefore play a key role in task automation and optimization in Switzerland and internationally in the coming months and years.

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How MCP Works (For Technical Readers)

MCP relies on exchanging JSON messages between the AI agent and business connectors, orchestrated by a lightweight broker:

  1. Initial Request
    The user or application sends a question or trigger to the AI agent.
  2. Context Analysis
    The agent, equipped with an appropriate prompt, wraps the request in an MCP envelope (with metadata about the user, application, permissions).
  3. Broker & Connectors
    The MCP broker reads the envelope, identifies required connectors (CRM, ERP, document store, etc.), and issues REST or gRPC API calls per a simple, extensible specification.
  4. Data Retrieval & Aggregation
    Connectors return structured fragments (JSON, XML, protobuf), which the broker assembles into a single, rich context.
  5. AI Model Invocation
    The AI agent receives the full request and context, then queries the model (hosted locally, in your private cloud, or via an API such as OpenAI) to generate the response or next actions.
  6. Execution & Feedback
    For action steps (ticket creation, email dispatch, etc.), the broker relays commands to target systems and can return an execution log for auditing.

This workflow is completely vendor-agnostic: you can host an open-source speech-to-text model in-house for call center interactions, or use the OpenAI API for NLP, depending on business context and cost or time constraints.

Challenges & Best Practices for Successful MCP Deployment

To guide technical and business teams through concrete implementation of the protocol while anticipating key pitfalls, we recommend following these steps:

1. Define Your Functional Scope

  • Map priority use cases (customer support, maintenance, BI…)
  • Identify target systems (CRM, ERP, SCADA…) and access constraints (authentication, throughput, latency)

2. Governance & Security

  • Establish fine-grained access policies: which agents can query which data, under what conditions
  • Implement continuous MCP call auditing (centralized logs, anomaly alerts)

3. Technical Pilot & Rapid Prototyping

  • Start with a PoC on a simple case (e.g., CRM-connected FAQ assistant)
  • Measure end-to-end latency and functional enrichment delivered by MCP

4. Industrialization & Scaling

  • Deploy a resilient MCP broker (high availability, load balancing)
  • Version and test business adapters (unit/integration tests)

5. Continuous Monitoring & Optimization

  • Dashboards tracking:
    • Number of MCP calls per day
    • Average response time
    • Error or integration-failure rate
  • Collect user feedback (internal NPS) to refine and prioritize new connectors

Edana’s Approach: Flexible Solutions

Edana combines the best of open source, third-party APIs, existing tool integration, and custom development to address each business context.

We naturally favor open standards and open-source building blocks to limit costs, avoid vendor lock-in, and optimize total cost of ownership. However, when time-to-market, budget, or complexity constraints demand it, we integrate proven solutions: hosting an open-source speech-to-text model for call centers, leveraging the OpenAI API for rapid NLP understanding, or coupling with a third-party computer-vision service… With MCP, these elements mesh seamlessly into your ecosystem without adding technical debt.

Our methodology applies a variety of technology approaches tailored to maximize ROI and ensure robustness and longevity of your solutions.

As ecosystem architects, we prioritize security, scalability, and sustainability across all your AI agent platforms. We factor in your CSR commitments and corporate strategy to deliver responsible, high-performance AI aligned with your values and specific business needs—accelerating your digital transformation without compromising on quality or data control.

Ready to automate your business processes without sacrificing quality—in fact, improving it? Not sure where to start? Our experts are here to discuss your challenges and guide you end-to-end.

Discuss about your challenges with an Edana expert

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How to Digitize Your Business in Switzerland? Step-by-Step Guide

How to Digitize Your Business in Switzerland? Step-by-Step Guide

  • Tags digitalisation des entreprises, Transformation digitale, transition numérique

Digitalization, much more than just modernization, represents a significant opportunity for Swiss businesses, whether they are SMEs, as emphasized by the Swiss Confederation, or large corporations. In this article, we will review the advantages it provides to those who implement it and detail the steps to fully take advantage of this transition, without falling into its most common pitfalls that hinder innovation, leading to significant losses to competitors who have undertaken their digitization the right way.

Swiss Context and the Importance of Digitization

Switzerland, with its robust economy and booming technological sector, stands at the dawn of a digital revolution. A recent study conducted by Deloitte revealed that over 70% of Swiss companies have integrated digital strategies into their long-term planning, demonstrating the increasing relevance of digitization in the country’s economic fabric. From industry giants to innovative startups, digital transformation has shown its potential to propel businesses to new heights.

Advantages of Digitization for Businesses

By embracing digitization, Swiss businesses can benefit from increased agility, medium to long-term reduction in operational costs, and better understanding of their data for more informed strategic decision-making.

Digitization also often translates to workplace well-being, increased quality and quantity of output, and talent retention. Digital transformation also offers the opportunity to remain competitive in a constantly evolving commercial landscape, paving the way for sustained growth and a leadership position in the market.

By investing in digitization, your business can not only keep pace but also anticipate and shape the future with confidence.

Challenges of Digital Transformation

The transition to digitization in Switzerland involves specific challenges, particularly in regulatory, data security, and organizational change management areas.

Swiss Regulations: Compliance with local laws, such as the Federal Data Protection Act, is crucial. Companies must adopt compliance management systems and seek regular legal advice to navigate this complex environment.

Cybersecurity: Faced with increasing cyberattacks, enhancing data security becomes imperative. Companies must consider data encryption, regular security audits, and employee training in cybersecurity best practices.

Change Resistance: Digital transformation may encounter internal resistance. To overcome this, it is recommended to conduct internal communication campaigns, involve employees in decisions, and designate change ambassadors to guide and reassure teams.

By addressing these areas proactively, Swiss companies can fully leverage the opportunities offered by digitization while minimizing risks and obstacles.

Now let’s look at the steps to digitize your SME or large company, as well as some concrete examples of companies that our team has supported in their digital transformation in Switzerland.

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Steps to Digitize Your SME or Large Swiss Corporation

To initiate a digital transition process and seize the opportunities that the digital realm offers to a business, several steps must be taken. The Swiss Confederation briefly outlines some of these steps on this page. We will delve further into them below:

1. Needs Assessment

By carefully scrutinizing repetitive tasks to automate, you concretely free up time for your teams, allowing them to focus on more value-added missions. Digitalization thus becomes the lever that accelerates data management, reducing input errors and optimizing workflow. By automating, for example, the invoicing process, you eliminate the risks of human errors, ensuring maximum accuracy and overall increased productivity.

Our digital transformation support services

2. Strategic Planning

A rigorously defined digital strategy functions as a compass, concretely guiding technology toward achieving your business objectives. Imagine, for example, a targeted improvement in internal communication, introducing collaborative tools. This goes beyond mere modernization as it transforms your way of working. Optimized internal communication channels stimulate collaboration within your team, enhancing efficiency and creativity. This approach can also translate into more proactive external communication, leading to closer collaborations with customers and partners, thereby strengthening your market positioning. In short, a well-thought-out digital strategy becomes the concrete engine that propels your business to success. Once your objectives and their solutions are well established, it will be essential to prioritize properly to arrive at a clear and intelligent digitization roadmap.

3. Custom Application, Website, and Software Development

Custom solutions offer a user experience and functionality without any limits. Going far beyond off-the-shelf software and solutions, fully custom-built enterprise applications are powerful and provide considerable added value. Consider the creation of a custom automated billing system. Every step of the user interface (UI) development is meticulously crafted to ensure an intuitive and seamless user experience (UX). Visual elements are carefully selected to reflect simplicity and remain in line with the company’s identity, offering smooth and enjoyable navigation. The coding process supporting this is also precisely tailored, ensuring optimal performance of the functionalities and processes thus digitized. Thus, every line of code contributes to an exceptional user experience, making your automated billing system not only functional but also enjoyable to use. All of this takes time, and typically, it takes between 3 and 12 months to arrive at a finished product, sometimes more. The result is often a game-changer for a business.

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4. Implementation and Training

Transparent implementation and tailored training are the pillars of smooth adoption, particularly crucial in the field of software and mobile application development. When considering the implementation of a new custom CRM, for example, every element of the interface is seamlessly integrated, ensuring a consistent user experience (UX). The accompanying training goes beyond basic tool usage to encompass a thorough understanding of the system, thus optimizing its potential. This transcends mere coding to create a synergy between functionality and usability. Quickly, this custom CRM becomes an indispensable tool, boosting the efficiency of sales teams and redefining customer relationship management. From the design phase to production deployment through coding, implementation, and internal team training must be consistent, clear, and transparent to ensure maximum solution adoption rates.

5. Scalability and Ongoing Support: :

The sustainability of digital solutions lies in a rigorous development approach that goes beyond mere coding. Consider a custom-built platform designed for scalability: every component is meticulously structured to allow easy integration of new functionalities in the future. This scalability is not simply a matter of programming but rather the creation of a flexible architecture capable of adapting to changes. Thus, your platform can easily evolve to incorporate new strategic features in the future, supporting the continued growth of your business. Ongoing support then comes in to ensure a seamless transition, facilitating the smooth adoption of these innovations. This is how technical development translates into operational agility without sacrificing stability.

Examples of digitalizations of Swiss companies carried out by our experts

As specialists in digital transition, we have accompanied several clients in their transformation. Here are two examples, which are two case studies:

For the Filinea project, our team developed a custom web application to optimize the management of wastewater treatment processes. This innovative solution allows for effective monitoring and control, contributing to better environmental management.

In the case of Gottofrey Electricité, we created a customized business application to digitize and streamline operational processes. This application improves productivity and efficiency by automating tasks and facilitating project and resource management.

Digital transformation of a mittelstand
Filinea
Business software for an electrical company
Goteck


Learn more about digitalization solutions

Digitize my business now

The importance of preparing for future innovations

The digital age is evolving rapidly, driven by significant advancements in artificial intelligence (AI) and cloud computing. AI is transforming Swiss companies’ operations, improving efficiency and providing unprecedented insights through advanced data analysis. Meanwhile, cloud computing democratizes access to powerful computing resources, enabling businesses of all sizes to adapt quickly and cost-effectively. These technologies pave the way for new opportunities for growth and innovation but also require constant adaptation and a commitment to ongoing training and cybersecurity to protect vital digital assets. Swiss companies embracing these changes position themselves for success in an increasingly competitive and globalized market.

To embrace these technological changes, companies must adopt a culture of open innovation, invest in training and developing their employees’ skills, and implement robust data security strategies. It is also crucial to establish strategic partnerships with technology providers and research institutions to remain at the forefront of innovation.

Get support from our experts

To navigate successfully through your digitization journey and fully leverage your potential, get support from our experts. Our team, specializing in tailored digital solutions, guides you through every step, from strategy to execution, to turn your challenges into opportunities.

At Edana, our commitment focuses on building long-term partnerships because we understand that mutual success relies on close and enduring collaboration. Our goal is to provide you with solutions that truly catalyze your growth by closely accompanying you to identify and implement the most suitable digital strategies for your specific needs.

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Automating Business Processes and Optimizing Operational Costs for Swiss Enterprises

Automating Business Processes and Optimizing Operational Costs for Swiss Enterprises

  • Tags Business application, Digital Transformation, Digitalization of businesses, task automation

Business Process Automation (BPA) has become a priority for many Swiss companies, seeking to streamline their operations, reduce costs, and increase overall efficiency. According to a recent study by consulting firm Deloitte, 69% of Chief Information Officers consider automation a major concern. In this article, we explore why and how business process automation can be particularly beneficial for companies in Switzerland, focusing on solutions tailored to their specific needs.

Understanding Business Process Automation (BPA)

Business Process Automation aims to robotize repetitive tasks, traditionally time-consuming, within a company’s operational processes. Its goal is to accomplish these tasks more quickly and without errors through technology. This approach provides significant relief to employees by relieving them of tedious tasks while improving the overall efficiency of the company.

Definition of Key Acronyms

  • DPA (Digital Process Automation): Refers to digitalized process automation.
  • BPA (Business Process Automation): Corresponds to automation of business processes.
  • BPM (Business Process Management): Represents the management of business processes.
  • RPA (Robotic Process Automation): Means robotic automation of processes.

Correlation between BPA and BPM

Business Process Management (BPM) is a strategic approach involving analysis, modeling, and optimization of processes. It is not software itself but guides the development of effective solutions.

In contrast, Business Process Automation (BPA) is operational and involves the use of applications designed to meet specific business needs. BPA encompasses all automations resulting from the BPM approach, thus ensuring practical and sustainable solutions.

Relationship between BPA and RPA

Robotic Process Automation (RPA) is a subset of BPA, focusing on the use of software robots, computer bots, and artificial intelligence to automate specific actions. In Switzerland, this could mean automated data export between CRM and ERP software, thus improving operational fluidity or implementing any IT system that automates certain information processing.

It is crucial to note that artificial intelligence is not always necessary in the context of RPA. Simpler solutions can bring significant improvements in operational efficiency.

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Advantages of Business Process Automation for Swiss Companies

1. Operational Optimization

By integrating automation to handle repetitive tasks, Swiss companies can bring significant optimization to their daily operations. This results in a substantial reduction in human errors, a notable acceleration of processing times, and an overall improvement in operational efficiency. By relieving employees of these tedious tasks, automation frees up valuable time that can be reallocated to higher value-added activities. Furthermore, implementing these solutions helps create a smoother and more responsive work environment, thus fostering better productivity within digitized companies and organizations.

2. Reduction of Operational Costs

By reducing dependence on human resources for manual tasks, Swiss companies can not only achieve substantial savings in operational costs but also unlock considerable financial potential. This approach promotes more efficient budget management while providing financial leeway for companies and organizations, thereby strengthening their resilience and ability to invest in key areas for long-term growth.

3. Regulatory Compliance

Business Process Automation in Switzerland goes beyond operational efficiency; it also represents an essential bulwark against the risks of non-compliance with strict Swiss regulations. It thus reduces legal risks and enhances the reputation of companies. Customized applications offer an agile solution, ensuring quick adaptation to regulatory changes and transparent traceability to meet compliance requirements.

4. Adaptability to Local Needs

Business Process Automation (BPA) solutions offer targeted adaptation to Swiss market requirements, thus enhancing their local relevance. This customization provides essential agility to quickly respond to market changes. By personalizing automated processes, Swiss companies remain competitive in a dynamic business environment.

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Examples of Automation for Swiss Companies

Automating Financial Processes

By adopting automation of financial processes, Swiss companies can establish invoice management, payment, and financial reporting that transcends conventional standards. This approach goes beyond mere optimization, offering enhanced financial transparency and a higher level of regulatory compliance. This operational transformation thus goes to the heart of efficiency, accuracy, and financial governance, positioning companies to thrive.

Automated Human Resources Management

By opting for automation of human resources-related processes, companies can streamline crucial aspects such as leave management, performance evaluations, and payroll management. Moreover, it can establish a more agile and employee-centered organizational culture. This transformation goes beyond operational efficiency; it creates an environment where talent management becomes a strategic lever for growth and innovation. Thus, this evolution in human resources management offers Swiss companies a substantial competitive advantage in a dynamic and ever-changing labor market.

Customer Service Automation

By embracing customer service automation, companies can not only increase operational efficiency by automating ticket management, responses to common queries, and collection of customer feedback but also transform the overall customer experience. This transformation goes beyond reducing response times; it fosters deeper connectivity with customers, enhances customer satisfaction, and builds a reputation for service excellence. This evolution becomes a central element of differentiation strategy, positioning companies as customer satisfaction-focused leaders in an increasingly demanding Swiss commercial landscape.

Examples of Business Automations Developed by Our Teams for Our Clients

Designing custom software solutions to automate our clients’ processes is our specialty. Our multidisciplinary teams conceive, design, deploy, and maintain tailor-made business solutions that bring maximum value to our clients.

Digital transformation of a mittelstand
Filinea
Business software for an electrical company
Goteck

Start your process automation

Creating custom software to digitalize operations

Investing in custom software creation is essential for Swiss companies looking to maximize the benefits of business process automation. Opting for a customized solution addresses the specific needs and unique challenges of each company.

First and foremost, this approach ensures a perfect fit with the company’s specific requirements. The inherent flexibility of custom solutions also allows for quick adaptation to changes in the Swiss market. Additionally, customization promotes an optimal user experience, increasing employee adoption of the new automated processes.

Learn more about business software

Create your custom business software

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Optimizing Operational Efficiency: Workflow Automation Guide for Swiss Businesses

Optimizing Operational Efficiency: Workflow Automation Guide for Swiss Businesses

  • Tags custom business software, workflow, Workflow automation

At Edana, we observe this within our digital transformation engagements with our Swiss clients, ranging from SMEs to large enterprises seeking operational efficiency or effectiveness: automating workflows is a crucial aspect of a company’s development, especially in Switzerland, as it significantly enhances competitiveness on multiple fronts.

We also note that many business leaders struggle to navigate the various solutions available in the market, whether in terms of digital consulting, ready-to-use solutions, or custom business tool development. However, it is certain that there is a suitable solution for each practical case of workflow automation, and finding it is imperative for the success of a digital transformation project, where many other Swiss companies fail.

As experts in digital consulting and execution in Switzerland, providing tailored solutions, especially in software and application development for businesses, we have decided to create this practical guide to help local businesses get started in this area. It serves as an introduction to the subject. In this guide, we will explore the powerful lever that workflow automation represents, its key role in optimizing the operational efficiency of businesses, and most importantly, how it can be successfully implemented within a Swiss company, including a review of common pitfalls to avoid and the steps to take for a successful transition.

Understanding Workflow Automation

Workflow automation is much more than a simple application of technology. It is a strategic approach aimed at streamlining internal processes, eliminating repetitive tasks, and increasing productivity. In this section, we will detail the tangible benefits of automation, supported by concrete examples of solutions that enable companies to transform their operations through this innovative approach.

What is Workflow Automation?

At Edana, we typically distinguish four main aspects of workflow automation:

  1. Process Streamlining: Workflow automation involves identifying, assessing, and streamlining an organization’s internal processes. This often includes reducing manual steps and simplifying procedures, enabling faster and more efficient task execution. Auditing work frameworks and task organization is imperative to ensure an optimal work architecture and identify existing optimization opportunities.
  2. Elimination of Repetitive Tasks: It aims to eliminate repetitive and administrative tasks that can be automated. By freeing employees from these routine activities, the company promotes a more judicious use of their skills and time, contributing to increased job satisfaction by reducing the tediousness of tasks.
  3. System Integration: Workflow automation often involves integrating different software systems within the company. This enables smooth communication between applications, eliminating information silos and improving data consistency.
  4. Adaptability and Scalability: A well-designed workflow automation solution is adaptable and scalable. It can adjust to organizational changes and evolving needs, ensuring continued relevance over time. It provides flexibility in operations and often aligns working methods across teams within a company or organization.

Benefits of Workflow Automation for Swiss Businesses

Here are the main benefits that Swiss businesses, undergoing digitalization with our guidance, derive from properly executed workflow automation:

  1. Time and Efficiency Gain: By automating repetitive tasks, workflows become more efficient, allowing employees to devote their time to higher-value activities.
  2. Error Reduction: Automation reduces the risk of human errors, ensuring increased precision in process execution.
  3. Improved Traceability: Automation solutions often provide complete traceability of processes, allowing businesses to track and analyze each step of the workflow.
  4. Enhanced Collaboration: By integrating systems, automation promotes collaboration between teams, enabling more effective information sharing and transparent communication. See our article on intranets and custom collaboration tools that greatly enhance team efficiency.

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Key Steps in Workflow Automation

To embark on this operational revolution, it is essential to understand the key steps of workflow automation. In this section of our guide, we will present the important stages of this process, some examples of business operations automation, and the tools that our consultants and experts use in the field in Switzerland to digitize our client companies.

Successfully Achieve Your Automation in 10 Phases

Workflow automation involves several key steps to ensure successful implementation and seamless integration within the company. Here is a list of important steps to consider:

  1. Analysis of Existing Processes:
    • Identify key company processes.
    • Evaluate the complexity and frequency of tasks involved.
    • Identify friction points, delays, and inefficiencies.
  2. Definition of Goals:
    • Establish clear goals for workflow automation (e‧g., reduction of deadlines, improvement of accuracy).
    • Involve stakeholders to understand specific needs.
  3. Design of Automated Workflows:
    • Map current processes and design automated workflows.
    • Define rules and conditions for triggering automation.
    • Integrate exception and error management.
  4. Selection of Tools and Technologies:
    • Choose suitable automation tools and platforms.
    • Consider integration with existing systems (ERP, CRM, etc.).
    • Evaluate user-friendliness and flexibility of proposed solutions.
  5. Custom Solution Development:
    • Engage developers to create custom solutions if necessary.
    • Ensure modular design for future scalability.
    • Integrate reporting and analysis features.
  6. Thorough Testing:
    • Conduct thorough testing to ensure proper functioning.
    • Validate automation on real cases to detect any issues.
    • Involve end-users in the testing phase.
  7. User Training:
    • Provide comprehensive training on using new automated workflows.
    • Raise awareness among employees about the benefits and impact of automation.
    • Establish support resources if needed.
  8. Continuous Integration:
    • Ensure continuous integration with operational teams.
    • Gather regular feedback to adjust workflows over time.
    • Implement mechanisms for continuous improvement.
  9. Performance Measurement:
    • Establish key performance indicators (KPIs) to evaluate effectiveness.
    • Monitor time savings, error reduction, and other benefits.
    • Adapt workflows based on achieved results.
  10. Change Management:
    • Proactively communicate upcoming changes.
    • Involve teams in the automation process to foster adoption.
    • Evaluate and adjust the change management strategy as needed.

Concrete Examples of Workflow Automation

There are many ways to automate workflows within a company, both because there are numerous different tasks and various ways to solve a problem. Here are some examples of workflow automation that a company in Switzerland can implement:

  1. Automated Invoicing Processes: An enterprise can automate the generation and sending of invoices, reducing payment delays and improving cash flow.
  2. Leave Request Management: An automated system can process employee leave requests, check availabilities, and automatically inform relevant teams.
  3. Project Tracking: Workflow automation can be applied to track and automatically update the progress of projects, ensuring real-time visibility for all team members. See our feature on custom project management software.
  4. Customer Request Processing: An automated solution can classify, prioritize, and automatically redirect customer requests, thereby improving customer satisfaction and responsiveness.

Workflow Automation Software Designed for Swiss Businesses

Our consultants, software engineers, application developers, and UX designers create tailor-made solutions for each business, enabling them to control their internal processes without relying on external software (high licensing costs, low adaptation to company-specific needs, insufficient data security, etc.). Here are two case studies of projects led by our teams in this area:

Digital transformation of a mittelstand
Filinea
Business software for an electrical company
Goteck

Automate my workflows with Edana

Tools Used by Our Consultants and Experts in These 10 Key Steps

In the realm of workflow automation, our teams use a range of technological tools at different stages to facilitate an efficient transition to automated and optimized workflows. It is interesting to note that this depends on each digitization journey, as the specific conditions of each company involve the use of different tools, methods, and technologies to ensure automation truly tailored to its situation.

During the analysis of existing processes, modeling tools such as Lucidchart or Microsoft Visio can be used to map and understand existing business processes.

To define project objectives and track progress, Edana leverages project management platforms such as Jira or Asana.

The design of automated workflows is carried out using workflow management systems such as Kissflow or Nintex, allowing the definition of rules and the integration of specific conditions for each project.

The crucial step of evaluating automation tools is performed through in-depth analyses using tools like Zapier, Integromat, or Microsoft Power Automate to select the most suitable solutions.

Custom solution development takes place in integrated development environments such as Visual Studio Code or Eclipse, tailored to the specific needs of each project.

Thorough testing is automated using tools like Selenium or JUnit, ensuring the proper functioning of workflows in various scenarios.

For user training, online learning platforms such as Udemy or LinkedIn Learning are sometimes used (when live training is not possible or not sufficient) to ensure a smooth transition to the new automated workflows.

Continuous integration is achieved using tools such as Jenkins or GitLab CI, automating the process of integrating new features into existing workflows.

Performance measurement is ensured by analytics tools such as Google Analytics or New Relic, allowing real-time monitoring and analysis of the performance of automated workflows.

Finally, to facilitate change management, collaborative communication platforms such as Slack or Microsoft Teams are used, promoting transparent and real-time communication with all stakeholders.

The judicious use of these tools at each stage of the process enables any proficient consultant, digital transformation strategist, and specialist to offer tailor-made workflow automation solutions, adapted to the specific needs of their clients.

Overcoming Automation Challenges

Despite the considerable benefits of workflow automation, specific challenges may arise during the process. This section will delve into crucial aspects such as data security, team training, and the importance of a scalable solution. We will share our best practices with the reader to ensure a smooth and secure transition to an automated enterprise.

Data Security

Workflow automation often involves handling and transmitting sensitive data. To ensure the security of this crucial information, our teams implement strict data security protocols. This includes the use of advanced encryption, rigorous access permission management, and the implementation of firewalls and intrusion detection systems. Working closely with clients to identify vulnerable points and implementing security measures tailored to their specific needs is of paramount importance.

Best Practices for Data Security:

  1. Advanced Encryption: Implement advanced data encryption to ensure the confidentiality of sensitive information during transmission and storage.
  2. Rigorous Access Permission Management: Establish strict access control policies by assigning permissions only to necessary personnel, thus limiting the risk of unauthorized access.
  3. Firewalls and Intrusion Detection Systems: Integrate robust firewalls and intrusion detection systems to monitor and prevent any unauthorized attempts to access data, reinforcing system security.

Team Training

Adopting new automated workflows requires a deep understanding from the involved teams. Recognizing the crucial importance of training is necessary for successful adoption. Customized training programs need to be implemented, covering both the technical aspects of workflow automation and the organizational changes that may result from this transformation. The goal is to ensure that team members feel comfortable and competent in using the new automated processes.

Best Practices for Team Training:

  1. Customized Training Programs: Develop custom training programs that cover not only the technical aspects of workflow automation but also the organizational implications, tailored to the specific context of each team.
  2. Continuous Training: Institute ongoing training sessions to keep teams informed about updates, best practices, and new features, fostering continuous and evolving adoption.
  3. Personalized Support: Implement a dedicated support system to address user-specific questions and resolve issues, reinforcing team confidence and competence.

Need for a Scalable Solution

Companies evolve, and with them, automation needs. Based on our experience, we often emphasize the design of scalable solutions from the start. This means establishing flexible and adaptable architectures capable of adjusting to future changes in the operational environment. By anticipating long-term needs, our team always assures clients that their investments in automation remain relevant and beneficial over time.

Best Practices for Scalability:

  1. Modular Design: Opt for a modular design of solutions, facilitating the addition of new features and adaptation to evolving business needs.
  2. Integration of Open APIs: Prefer the use of open APIs that allow smooth integration with other systems and applications, ensuring the necessary flexibility to adapt to technological advancements.
  3. Regular Evaluation of Needs: Schedule regular evaluations of the operational needs of the business to anticipate future changes and adjust automated solutions accordingly..

Overall, it should be noted that workflow automation is a dynamic process, and by proactively addressing these challenges, it ensures clients a successful and sustainable implementation.

Discuss Workflow Automation and Digitalization with Our Experts

Are you planning to automate the internal processes of your company? Our team of multi-experts is at your disposal to guide you through this process. Our strategy teams are here to analyze your business, propose solutions tailored to your goals and specificities, and address constraints. Our teams of software engineers and application designers are specialized in developing custom business tools.

Discuss workflow automation with an expert

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Can Machine learning be used in Web Development?

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Can Machine learning be used in Web Development?

The world is becoming more and more electronic. Our fantasies become real every year. We live in a futuristic movie world that gets better. Machine learning is one of the most significant achievements. 

What is Machine Learning?

Machine Learning is a part of Artificial intelligence (AI). Artificial intelligence Machine learning is a field that explores new ways of “learning.” Machine learning is responsible for producing an algorithm that uses specific data, makes predictions, and chooses. It is used in many apps and provides algorithms when traditional ways do not develop beneficial results.  

Machine learning programs are unique because they can perform tasks without being programmed to do them, so machine learning is close to computational statistics; the main idea, which is to make predictions by data analysis, is the same for both of them. 

Machine learning incorporates different approaches to completing assignments. One of the most popular is supervised learning in which the control algorithm holds the correct answers to the given questions.

For example, in AI brought to learn characters, developers often use the handwritten symbol database (MNIST), popular in the field. This allows them to compare the responses of the AI algorithms they are learning with what they should be, to see which ones work best.

Using Machine learning in Website development

Machine learning is increasingly popular in any technology field because it improves the performance of algorithms and programs. Because of this, Machine learning is one of the best choices when you want to upgrade your website to its finest. 

If you are searching for a better user interface, to improve the website’s protection, or upgrade the monitoring system, consider using Machine Learning for your Web. 

It is not only desirable but crucial for Web developers to consider and focus on Machine learning because it makes the site efficient, functional, and user-friendly on mobile and desktop devices. In addition, machine learning implements automated chat usability, improves technological intelligence, and boosts user experience.

Benefits of Machine learning

When developers use machine learning in their development processes, time-consuming, complex, and complicated tasks becomes a job for algorithm and is done only in seconds. Plus, information and charges are more accurate, and all doubts are eliminated. Here are some most important benefits that can be obtained from incorporating Machine learning into the workflow. 

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Examine customer attitude

Machine learning systems can be used to track and research users’ needs and behaviors. The algorithm allows having all the information in no time and using it to upgrade your customer experience. Abolish unnecessary things, and answer your customers’ needs faster and more effectively. 

Flexible data collecting

Machine learning is impressive because it can do everything traditional methods do, but it also automates tasks and gives more accurate answers. For example, before Machine learning systems, collecting data was done manually and wasn’t perfect. But ML systems figure out what type of information is essential for your project, collect them automatically, and give you in little time. 

Guarantee security 

At this time, cyber-attacks are not a rare thing, all the data Machine learning systems can collect must be secured and safe. Machine learning can store all the information defended. It prevents attacks and allows you to track the algorithm that does that. That’s why it is twice secured. 

Marketing strategy

No matter how surprising it is, using Machine learning on your Web applications will help you to upgrade your marketing strategy. One of the main features of Machine learning systems is predictions; it will forecast your customers’ choices and plans based on their activity. This kind of information can be used to boost retention and purchases. 

Wrapping up 

Automating simple tasks isn’t new, but Machine learning makes complicated tasks automated; this is why Machine learning systems are innovative and the future of technology. It already has a significant influence on web development which will grow with the years and new creations. 

What We Offer

For more similar articles, make sure to scroll through our Publications on Edana. Our expertise includes Web development Services, software and AI engineering, digital consulting and IT systems architecture. Feel free to contact us anytime.

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What Role Does AI Play In Marketing?

What Role Does AI Play In Marketing?

Artificial intelligence (AI) plays a huge role in our lives. It entered in many businesses and made the work easier and also managed to become a part of marketing world. AI marketing is a method that uses technology to improve the customer journey.

Benefits of AI marketing

AI has many benefits. First of all, up until now conducting analysis and discussing the data was time-consuming, but now you can have a software that does the analysis and gives you the data. This way you can generate more return on investment and your colleagues will have more time to focus on more pressing matters.

Secondly, it works on anything as long as you have a data to process. This means that you can have a good grasp of your customer behavior patterns and make decisions accordingly.

Lastly, it can reduce costs. It frees up capital and helps you use it on other company divisions to increase reliability.

15 tips to boost you AI marketing

As a marketer you can use AI to ease your workload. There are 15 tips of how you can work smarter and not harder:

  • Predict customer behavior

We can all agree that there is no business without a customer. You may ask “How can I keep my customers if I don’t know what they want?” The answer is to know how they use your product, follow small trends and you will see everything. For this you need AI. Amazon is the best example of it. With the right algorithm it checks customer behavior and offers product that they will be interested in.

  • Decrease AMPs load time

We all have been in a situation where you are trying to purchase product online, but the webpage is not loading, so you get annoyed and just leave. With the help of AI you can easily solve this issue. For example google has the fastest load time using AI algorithm.

  • Provide a personalized user experience

At some point we all have an experience with chat bots, they can be helpful when providing general information, but receiving the same answer all the time is pretty annoying and in certain situations they prove to be useless. This happens because they are not real AI and at the end if you want to address an issue you have to speak with a real human. With real AI you would naturally deliver the desired answers.

For example, Sephora is using AI to help customers in various ways including scheduling an appointment.

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  • Create a content

You can take advantage of AI and use it to create content for your brand. You can create blog posts to drive traffic to your site and boost your SEO.

  • Boost sourcing accuracy

Generating leads is one thing but checking their validity is another. AI can look at all the data you have collected from various perspectives and determine which one will lead to success.

  • Predict customer churn

Prediction helps with prevention. After analyzing all the information artificial intelligence will be able to determine the reason behind customer churn and find solution before it is too late.

  • Profitable dynamic pricing models

When you have multiple store locations it is difficult to check the performance of them all, but AI can monitor it and notify you if there is a decrease of performance and find a solution to the issue.

  • Sentiment analysis

SA helps you see how your company, product and service is perceived. This helps you fix any issue that may arise and make changes almost immediately in the process.

  • Improve website experiments

If you want to check the location that will have the best response to your website before officially releasing it, you can use AI. It can determine which location will be more receptive to new features and will give you feedback on what to improve.

  • Prioritize ad targeting and personalization

Collecting data plays a huge role in having a successful business. You can use data to determine faster and efficiently what to do with ads. AI can find patterns that you might not notice and give you an insight.

  • Relevant recommandation system

When you have a huge amount of products it is difficult to connect each customer to the right one and keep driving customer retention. AI can easily find connection between the product and a consumer and run common threads between them.

  • Smart email content curation

If you want to keep your customers, you should stop sending irrelevant mass emails. AI helps you choose the content of the email based on the thing customers care about.

  • Interpret custom loyalty card data

Above we spoke about the importance of data collecting, but exactly where does this data come from? The best way to get it is by tracking the rewards or loyalty systems. This is a great way to see the patterns and make successful business deals.

  • Computer vision for image and object recognition

AI can be used to eliminate time-consuming manual tasks. You can use computer vision algorithm to sort through thousands of pictures and videos placed in social media. It has a good accuracy and offers client’s specific product that they are interested in.

  • AI-enhanced PPC

Artificial intelligence can help you discover new channels of advertisement, what’s more, when you make AI responsible for picking keywords, your PPC campaigns will be automatically updating.

Conclusion

AI is a very powerful tool, which can reduce your workload and increase productivity. There are many companies that are successfully using AI marketing to work efficiently and gain more profits.

So are you using AI and if not, what are you waiting for?