No delivery without an ROI quantified in euros per year, grounded in our analysis and field experience. That is our signature.
At the end of the framing, the executive committee has everything it needs to decide: the numbers, the roadmap and the choice of engagement pillars.
ROI €/year, avoided costs, required investment, payback. A figure you can defend in front of the executive committee.
SaaS-vs-build map, register of critical technical debt, state of data assets. Blockers identified before you start.
Ranked by business impact × feasibility. Each case is qualified: scope, data, IT integrations, risks, success criteria.
Detailed plan · change plan · AI gains reallocation strategy. Sequencing, choice of engagement pillars, value milestones and leading indicators from day one.
Impacts on functions and skills. Emerging roles, functions to redesign, mobility plan and training paths.
A question about the scope or terms?
Let's talk →Activated according to the scope agreed with the sponsor. A combined consulting, tech, data and design perspective for 360° coverage.
Audit of the technical foundation, blocking debt, integrations required for AI at scale.
Map of the processes that are candidates for automation or agentification. Quick wins and deep transformations.
Quality, availability, governance. This diagnostic drives the choice of use cases. Without reliable data, AI does not hold up.
Build vs. buy with ROI over 12–36 months. New AI cost structures reverse the trade-off.
Map of AI impacts on functions, roles and skills. Identification of emerging roles, functions to redesign and mobility paths.
Quantification of the expected gains per use case: avoided costs, revenue generated, productivity. The basis of the business case costed in euros per year.
Framing is an ongoing activity that feeds delivery alongside the squads. Four routines structure the opportunity pipeline.
Every initiative is tied to a sponsor outcome. An active pipeline, ready to be triggered as soon as a squad frees up capacity.
Interviews and field observation in a continuous flow, decoupled from the build. The AI Product Builder + AI Architect pair feeds the funnel.
For mature candidates: sponsor + AI Architect workshop. Problem, scope, risks and success criteria before any build.
The AI Product Builder and AI Engineers explore 2–3 candidate solutions with an SDD Analyst agent. One is selected, the others are kept on standby for a quick pivot.
Map of AI impacts on functions and skills. Identification of emerging roles, functions to redesign and functions at risk.
Redesign of target organizations, training paths by profile, internal communication plan, manager engagement.
An AI literacy program from top management to operational teams. Communities of practice, AI maturity dashboard.
"80% of an AI project's success does not depend on technology. IT is first in line: no role comes through the agentic shift unchanged."
A multidisciplinary perspective from the framing stage: consulting, tech, data and design working together.
Framing always leads to a choice of pillar(s). Here are the four most common sequences among large French enterprises.
Three examples of AI Strategy engagements that paved the way for AI transformation at scale.
AI maturity diagnostic and transformation plan across all business functions, ahead of rolling out an AI Factory at scale.
AI roadmap to roll out agentic AI across business functions: identification of priority agents, governance plan and AI Workforce Planning.
Strategic framing to move from a per-unit sales model to usage-based pricing, powered by AI and product data.
At the end of the framing, you know your priority. Three pillars that can be activated separately or as a combined program.
Fixed price, quantified ROI before any commitment. Your executive committee file in 2 to 6 weeks.
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