Our method
AI projects that deliver on their promises.
Most AI projects stop at the pilot stage. Rarely because of the technology, almost always for lack of adoption, governance and method.
What makes the difference between a pilot and a real deployment
Our starting point is different. We begin by mapping actual usage, understanding the human barriers to adoption, and identifying the processes where AI can create measurable value. Technology comes next, as the answer to a specific need.
Our methodology
Phase 1: Diagnosis & scoping
Immersion, interviews, usage mapping. Deliverable: diagnosis report and roadmap.
Phase 2: Measured pilot
Deployment over 4 to 8 weeks. Clear objectives, indicators defined before kick-off.
Phase 3: Deployment & training
Integration and training at the same time. We don’t just deliver a tool: we support its adoption.
Phase 4: Continuous optimisation
3 to 6 months of follow-up, monitoring, adjustments, ROI measurement. Monthly steering committee.
A concrete case
Professional federation, industrial sector. Redesign of the members’ platform and integration of an AI assistant to handle requests, with a 6-week pilot.
Precom Digital
An AI project in mind?
Tell us about your context and we will come back to you with an initial diagnosis.