AI Opportunity
& Governance Sprint
A 10-business-day sprint to identify your 3 to 5 best AI opportunities and establish the governance framework needed for risk-free execution.
In a nutshell
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.
The problem
Why traditional approaches fail in regulated environments.
AI pressure without direction
Board, competition and regulation push you to act, but you lack a clear view of real opportunities and a framework to evaluate them safely.
Existing solutions fall short
Strategy firms deliver decks without governance. Integrators push their stack. POCs pile up without scaling.
The governance gap
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.
No documented ROI
"Test & learn" without a framework produces no decision. You need documented ROI, not endless experiments.
Sprint structure
10 days in 4 structured phases.
- D1–D2
Scoping
Stakeholder interviews (CIO, business, compliance, IT) + document review (data strategy, org chart, processes).
Scoping report: data/AI maturity, regulatory issues, scope - D3–D5
Identification
Structured creativity workshop + BPMN process analysis + available data mapping.
Backlog of 8–12 scored opportunities (value / risk / effort) - D6–D8
Governance
Governance blueprint: AI Act classification, roles & committees, model risk controls, safe-to-run constraints.
Governance blueprint + AI risk register - D9–D10
Delivery
Executive summary + 90-day execution plan + AI Execution Office retainer proposal.
Delivery deck (15 slides max + appendices)
Detailed deliverables
Prioritized use-case backlog
8–12 opportunities scored on business value, technical feasibility, and regulatory risk.
Safe-to-run constraint map
Data classification, auditability requirements, human-in-the-loop rules, vendor limits.
AI Governance Blueprint
Roles & responsibilities, approval flows, model risk controls, lifecycle (AI Act compliant).
90-day execution plan
Two tracks: AI pilot delivery + process/change adoption (BPM lens). Budget and milestones included.
Retainer proposal
AI Execution Office included as default next step — ready to sign.
Who is this for?
| 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 |
Why trust us
25+ years of experience
GAMP5, FDA, 21 CFR Part 11 — pharma, medical devices. Governance is never an afterthought.
AI in production since 2018
ML (Andrew Ng), GenAI since 2022 — multi-agent, RAG, chatbots in production.
AI for Business certification
X – École Polytechnique Exec Ed (2026). Academic credibility that reassures executive committees.
Vendor-independent
No reseller partnerships → unbiased recommendations. Architecture designed for your context.
What's next?
After the Sprint, the AI Execution Office (retainer €5k–€15k/month) takes over to execute the roadmap and deploy governance.
Ready to structure your AI approach?
A free 1-hour consultation to qualify your needs and define the next step.