AI & Design

Design manager

Docaposte

Leading a Team of Data Scientists and UX Designers with this guiding question: How can artificial intelligence improve the customer experience across our solutions?

With the rise of AI, Docaposte has established a cross-functional team to explore how to enhance customer experience while maintaining our business values.

Design Manager / Team Lead

Led a cross-functional team of data scientists and UX designers to integrate AI into customer experiences

Missions as lead:
- Advocated for user-centered AI, balancing technical feasibility with business value
- Ensured seamless collaboration between data science and design teams

2024

What I’ve learned:
AI is more than just chatbots—its full potential lies in solving real user needs through multiple approaches.

A cross-functional team

70% Data scientists
30% UX/UI Designers

Funded by the executive committee, ensuring a budget independent of business units—effectively making it a free resource for BUs.

3 ways of working together

Ideation

Ideation to deliver innovative solutions and API-driven Proof of Concepts (POCs) to ensure reusability across projects.

Team missions: Field observation, Audit, Workshops, Target vision

POC

Prioritizing POCs based on business value and feasibility Diagnostic data : No data, no solution

Missions: UX Research, Workshop facilitation

  • Assessing the project’s data value potential

  • Ensuring the proper functioning of the AI solution

  • Providing a first, lightweight front-end experience

Industrialization

Not covered by the executive committee’s budget, this has become a major transformation challenge for the team.

The key issue: avoiding the trap of working on POCs that never materialize—risking that the team’s expertise remains theoretical rather than delivering real impact.

Use case : LaPosteGPT

Generative AI for Employees for La Poste Group

Project Objectives:

  • Define the target vision for a unified platform as the go-to entry point for Generative AI tools.

  • Design and prototype the first version (V1) of La Poste GPT as well as the target vision for the platform.

Success Criteria:

  • A clear vision: The platform becomes an essential daily reflex.

  • Perceived value: The tool is indispensable in users’ workflows.

“What if the future of AI in business isn't generalist, but specialized—trained on deep industry knowledge to deliver precise, reliable, and transformative solutions?”

— Us at some point

But what if the real game-changer isn't just specialization, but how we centralize or integrate AI tools?

“Centralized platforms vs seamless integrations—what’s the best path to empower your teams and workflows?”

— Also us at another point

A step-by-step methodology

Step 1 - Personae

Questions informed by business insights into user needs:

  • Who are the target users?

    • All employees (personal assistant)?

    • Different teams with specific needs?

    • Both experienced and new users?

  • Is there existing user feedback or data available?

  • What are the users' expectations?

  • What current user problems are we trying to solve with this project?

Step 2 - Target Vision workshop

WIP

Next

Cobalt Design System