Julien Talbot, activity ergonomist.
I work from a simple premise: technology does not matter because of what it promises, but because of what it changes in real activity.
My work makes work situations, responsibilities, trade-offs, and recovery conditions visible enough to design AI systems, tools, and organizational decisions from reality.
Organizations, software products, and AI agents all meet at the same point: the activity they make possible, fragile, or invisible.
Observe before transforming.
Activity ergonomics is the method: start from what people, tools, and systems actually do, not from what they are supposed to do.
Real work
What people actually do to maintain quality: trade-offs, interruptions, coordination, local adaptations, and hidden costs.
AI delegation
What a system shifts onto humans: verification, correction, responsibility, supervision, recovery, and trust conditions.
Operational evidence
The traces, stop criteria, recovery paths, and observable states that make a transformation discussable before it scales.
A few signals, not a resume.
These markers explain why the work connects ergonomics, AI, organizations, and system design.
- Founder of Ergonomia since 2021.
- More than 50 organizations supported.
- AI, Work & Employment lead for CPME Réunion.
- Teacher in ergonomics and work psychology.
- Training at Paris 1 Panthéon-Sorbonne, Toulouse Jean-Jaurès, and Sherbrooke.
- Background in UX, human factors, critical interfaces, and complex systems.
A trajectory toward AI in real work.
The full resume exists elsewhere. What matters here is the continuity: interfaces, human factors, activity, organizations, AI, and supervision.
- 2017 — 2019
Human factors, interfaces, and complex systems
Early work in ergonomics, UX, and interface design, including critical environments such as aeronautics.
- 2020 — 2021
Activity ergonomics
Focused work on real activity, organizations, cooperation, and situated transformation, including the Paris 1 Panthéon-Sorbonne master program.
- Since 2021
Ergonomia
Independent practice on work conditions, prevention, digital transformation, and situated AI integration.
- Since 2023
Teaching
Courses in ergonomics and work psychology, with one thread: learn to observe activity before trying to transform it.
- Now
AI agents, supervision, and real work
Work with organizations, product teams, and AI labs on delegation loops, observability, verification, and recovery.
I work where a transformation has to become discussable.
Organizations, AI labs, product teams, talks, and teaching are different formats for the same question: what changes in real work, who can verify it, and under what conditions people keep agency?
Start with the work situation
For talks, strategic discussions, or collaboration on AI agents and real work systems, email me directly. If the topic is still fuzzy, the guided request helps shape the useful context.