Understand, decide, transform.
Start from your operations to decide priorities, build a roadmap and prepare adoption.
Real problems
Recurring tasks, tools that do not communicate, AI projects that never move beyond a demonstration.
What we do
Diagnose operations and tools, map opportunities and prioritize by value, risk and feasibility.
Target architecture, data governance and change management.
Deliverables
An assessment, a prioritization matrix, a roadmap, an adoption plan and indicators.
Our method
Observe real tasks, tools and data. Prioritize by value, risk and feasibility.
Transform processes and systems, one building block at a time. Measure what has changed using a method agreed at the outset.
Constraints and governance
We define data access, responsibilities and human approvals before building.
The assignment of rights to what we build, hosting, reversibility and maintenance are written into each project's contract.
Frequently asked questions
Do we need to have chosen a tool?
We start from the actual work to decide which tools are useful.
How do teams participate?
They describe their tasks, test the system and take part in the adoption plan.
Journal
What you rent can be taken back
On 29 July 2026, an AI agent builder told its users the product was ending in a month. Eight weeks earlier, OpenAI had quietly scheduled the same fate for two of its own. Size never bought either set of users more runway.
Measuring SAP adoption with AI: putting an end to useless training
Vendors train, no one uses it. An AI evaluation tool measures real SAP proficiency and drives change management.