How can we put people at the center of digital transformation and AI initiatives?

Discover how to make your AI and digital projects a success by putting people first: UX/UI design, change management, and maximum adoption.

Technology isn't enough - adoption makes the difference

Every year, millions of euros are invested in digital transformation and artificial intelligence projects. Yet, according to numerous studies, nearly 70% of these projects fail or fall short of their objectives. The main reason? A lack of adoption by end users.

A technologically advanced solution that is poorly understood, poorly accepted, or ill-suited to real-world use cases generates no value. The success of a transformation project is not measured by the sophistication of the technology deployed, but by how well business teams embrace it.

To ensure a sustainable return on investment, it is essential to put people at the center of the process: understanding their needs, involving users from the design phase, supporting the change, and measuring satisfaction. This article presents the keys to a successful, people-centered transformation.

1. Why People Must Be at the Heart of Digital and AI Transformation

The Limitations of a Technology-Centric Approach All too often, transformation projects are driven solely by technical considerations: tool selection, cloud architecture, AI algorithms, and so on. This approach overlooks a fundamental reality: it is the users who bring these solutions to life on a daily basis.

A complex interface, ill-suited processes, or a lack of training can quickly turn an innovative solution into an underutilized—or even rejected—tool. The consequences are manifold:

  • Loss of productivity: teams waste time working around the tool or dealing with its glitches.

  • Demotivation: The feeling of having a solution imposed without consultation leads to frustration and resistance.

  • Failure to achieve ROI: without adoption, the technology investment does not translate into measurable gains.

Conversely, an approach that puts people at the center ensures:

  • Rapid and widespread adoption of solutions.

  • High user satisfaction, which drives engagement and performance.

  • Maximized ROI through optimal use of the deployed tools.

This approach is based on two complementary pillars: UX/UI Design and change management.

2. UX/UI Design: Designing for and with Users

What is UX/UI Design?

UX (User Experience) and UI (User Interface) are two complementary disciplines that aim to create digital solutions that are intuitive, effective, and enjoyable to use.

  • UX Design focuses on the user’s overall experience: their needs, expectations, journeys, and frustrations.

  • UI Design focuses on the interface itself: usability, layout, visual consistency, and information hierarchy.

Together, these disciplines ensure that the solution meets users’ actual needs and is easy to use, even for novice teams.

Key Steps in a Successful UX/UI Process A structured UX/UI approach is based on an iterative method that involves users at every stage

1. Analyze: Understand users and their needs

Before any design work begins, it is essential to define user profiles (personas) and map out their needs, constraints, and goals. This phase relies on:

Field interviews to capture actual usage patterns and pain points. An analysis of existing processes to identify opportunities for improvement. A benchmarking of market solutions and best practices.

2. Design: Information Architecture and Prototyping

Once the needs have been identified, the team structures the information architecture (content organization, navigation, hierarchy) and designs mockups and prototypes. These prototypes allow us to:

  • Visually demonstrate the solution before development begins.

  • Test user flows and identify areas for improvement.

  • Validate usability choices with future users.

Testing: Involving Users to Refine the Solution

The prototypes undergo user testing to measure their effectiveness, clarity, and user satisfaction. The feedback allows us to adjust the interface before final development, thereby reducing the risk of failure and the costs of corrections.

3. Deployment: Ensure an Easy Onboarding Experience

Even the best interface requires initial support: training, documentation, and user support. A UX/UI approach does not end with deployment; it includes ongoing monitoring to measure satisfaction and evolve the solution.

Real-world example: redesign of a critical monitoring system A project to redesign a security monitoring system perfectly illustrates this approach. Faced with a complex interface that caused time wasted in alarm management, a user-centered approach made it possible to:

  • Simplify the interface to reduce cognitive load.

  • Prioritize information to facilitate decision-making.

  • Support the change process to ensure adoption by teams accustomed to the old system.

Result: time savings, fewer errors, and high operator satisfaction.

4. Change Management: The Key to Sustainable Adoption Why is change management necessary? Deploying a new solution means transforming habits, processes, and sometimes even corporate culture. Without proper support, this transformation leads to resistance, stress, and underutilization of the tools.

Change management aims to:

  • Explain the purpose of the project and its benefits to the teams.

  • Reassure employees about organizational impacts and role changes.

  • Train users so they can quickly master the solution.

  • Build momentum for buy-in by highlighting concrete benefits.


Steps for Successful Change Management

1. Awareness and Education

Before deployment, it is essential to raise teams’ awareness of the challenges of the transformation and the technologies being deployed (AI, automation, cloud, etc.). This awareness-raising must be accessible, free of technical jargon, and illustrated with concrete use cases. 2. Co-creation and engagement

Users must be involved from the design phase to ensure the solution meets their actual needs. This co-creation fosters a sense of ownership and facilitates adoption.

3. Training and Skill Development

Tailored training programs must be implemented for users at all levels:

  • General awareness training for decision-makers and managers.

  • Operational training for everyday users.

  • Advanced training for technical teams (prompt engineering, creating AI agents, etc.).

4. Ongoing Support and Continuous Improvement

After deployment, user support must be available to answer questions and adjust the solution as needed. Regular satisfaction tracking helps identify areas for improvement and evolve the solution.

Example: Deployment of domain-specific AI assistants

The deployment of conversational AI assistants requires specific support:

  • Raising awareness about the uses of generative AI and its limitations.

  • Training on how to write effective prompts.

  • Creation of specialized agents tailored to business needs.

  • Measuring adoption through satisfaction and usage metrics.

This approach ensures that teams quickly adopt the tool and take full advantage of it.


Measuring Adoption and Ensuring ROI

Key Success Metrics

To ensure a return on investment, it is essential to measure user adoption and satisfaction:

  • Adoption rate: percentage of active users of the solution.

  • User satisfaction: NPS (Net Promoter Score), satisfaction surveys.

  • Productivity gains: time saved, reduction in errors, improved quality.

  • Measurable ROI: cost reduction, revenue growth, performance improvement.

Continuous Improvement

A digital solution is never static. A process of continuous improvement allows us to refine the interface, enhance functionality, and adapt to evolving business needs 1. A holistic approach: from strategy to implementation To maximize adoption and ROI, it is essential to integrate UX/UI design and change management into a holistic approach that covers all project phases:

  • Assessment and strategy: identifying needs, defining priorities.

  • User-centered design: prototyping, testing, validation.

  • Development and deployment: technical integration, security, and go-live.

  • Change management: awareness-raising, training, support.

  • Measurement and continuous improvement: tracking adoption, making adjustments.

This approach ensures that technology serves users, not the other way around.

Conclusion: People Are the Key to Success

Digital transformation and artificial intelligence projects succeed only if they are adopted by the teams. Putting people at the center of the process—through a rigorous UX/UI design approach and structured change management—is the key to ensuring maximum adoption, user satisfaction, and return on investment.

By involving users from the design phase, creating intuitive interfaces, training teams, and measuring adoption, you transform your technology projects into true drivers of performance.

Technology evolves quickly, but people remain the driving force behind transformation.