benchmark · AI agents France

AI agents benchmark. What actually works.

Analysis of real AI agent deployments in France. No declarative surveys. Data from operated projects, anonymized.

what you find inside

Four actionable insights.

Observed ROI by sector: real payback, not a marketing average.

Failure patterns: where projects stall and why (often the same things).

Maturity by company size: where players actually are.

Dominant tech stack: models, frameworks, integrations that recur.

6 dimensions analyzed

Median payback, variation range, explanatory factors.

Beauty, construction, services, finance, retail. Levels and levers.

Real usage rate post-deployment. Variable, often underestimated.

Models, frameworks, hosting. Dominant patterns in France.

Supervision level, compliance, logging actually applied.

Why projects stall: data, sponsor, scope, supervision.

Methodology & access

Based on deployed and operated projects. No declarative surveys. Anonymized data from real cases.

Beauty, construction, services, finance, retail. Method is sectorizable but levers are often cross-cutting.

On request. Sensitive data, so NDA and qualification required.

Prices depend too much on scope. A median benchmark would give a false reference.

Access on request, after qualification.