In the September 2026 "Digital Transformation" edition of MediaPlanet, distributed with Trends-Tendances, we share our vision of AI agents and their practical integration into businesses.
After discussing in June how we turn industrial challenges into bespoke digital solutions, we are now focusing on another key issue: how to make AI agents true operational assets for companies?
Beyond specific use cases, Anthony Bragard, Head of DJM lab, revisits a core principle of our project approach: testing and refining a solution before scaling it up.
With AI, we can develop faster. But the real challenge is being able to test earlier, quickly confront a solution with real-world needs, and refine it before investing further.
Our approach is built around three steps: analyzing the need, developing a POC, and then testing it against real-world usage.
AI, in particular, allows us to accelerate the development of test interfaces and get an initial functional solution into the client's hands faster to put it to the test.
Once its value and relevance are validated, the POC can then evolve into an industrialized solution, integrated into company processes and continuously improved.
At DJM Lab, we don't just build products. We build success stories.
