A 10-business-day sprint to identify your 3 to 5 best AI opportunities and establish the governance framework needed for risk-free execution.
You feel the AI pressure — board, competition, regulation — but don't know where to start. Strategy firms deliver a deck without governance. Integrators push their stack. POCs pile up without scaling.
Our promise: 10 days, actionable deliverables, governance included.
Why traditional approaches fail in regulated environments.
Board, competition and regulation push you to act, but you lack a clear view of real opportunities and a framework to evaluate them safely.
Strategy firms deliver decks without governance. Integrators push their stack. POCs pile up without scaling.
DORA (Q1 2026) and the AI Act require governance you haven't yet structured. Most AI consultants come from tech and don't understand regulated environments.
"Test & learn" without a framework produces no decision. You need documented ROI, not endless experiments.
10 days in 4 structured phases.
Stakeholder interviews (CIO, business, compliance, IT) + document review (data strategy, org chart, processes).
📄 Scoping report: data/AI maturity, regulatory issues, scopeStructured creativity workshop + BPMN process analysis + available data mapping.
📄 Backlog of 8–12 scored opportunities (value / risk / effort)Governance blueprint: AI Act classification, roles & committees, model risk controls, safe-to-run constraints.
📄 Governance blueprint + AI risk registerExecutive summary + 90-day execution plan + AI Execution Office retainer proposal.
📄 Delivery deck (15 slides max + appendices)8–12 opportunities scored on business value, technical feasibility, and regulatory risk.
Data classification, auditability requirements, human-in-the-loop rules, vendor limits.
Roles & responsibilities, approval flows, model risk controls, lifecycle (AI Act compliant).
Two tracks: AI pilot delivery + process/change adoption (BPM lens). Budget and milestones included.
AI Execution Office included as default next step — ready to sign.
| Criteria | Detail |
|---|---|
| Buyer | CIO, Chief Transformation Officer, Head of Data & Digital |
| Sectors | Insurance (primary) — Industry & Logistics (secondary) |
| Region | Worldwide (Europe, Africa, Middle East, Canada) On-site: Luxembourg & Greater Region / cross-border FR-LU Remote: everywhere else (short travel + telework) |
| Trigger | Regulatory deadline (DORA, AI Act), competitive pressure, board mandate |
| Budget authority | Yes — decision < €15k without RFP |
GAMP5, FDA, 21 CFR Part 11 — pharma, medical devices. Governance is never an afterthought.
ML (Andrew Ng), GenAI since 2022 — multi-agent, RAG, chatbots in production.
X – École Polytechnique Exec Ed (2026). Academic credibility that reassures executive committees.
No reseller partnerships → unbiased recommendations. Architecture designed for your context.
After the Sprint, the AI Execution Office (retainer €5k–€15k/month) takes over to execute the roadmap and deploy governance.
A free 1-hour consultation to qualify your needs and define the next step.
