AI Impact Sprint
A boardroom-ready AI roadmap in four weeks.
A focused, scope-locked engagement that gives leadership a credible answer to the question the board keeps asking. You'll end with a roadmap you can defend, execute, and invest against — not a deck.
When it fits
- Your board or CEO is asking what your AI strategy actually is.
- You have pilots and tools but no accountable senior owner or clear plan.
- You need an outside, operator view before committing serious budget.
- You want a roadmap you can ship against — not a slide deck.
What you get
- 0110–15 leadership and team interviews to ground-truth reality
- 02Business, product, data, customer, and team-readiness audit
- 03Opportunity map — where AI moves the needle in your specific business
- 04First AI use cases scoped with owner, cost envelope, and success metric
- 05Growth and revenue bets identified and ranked
- 06Risk register — technical, regulatory, cultural
- 0712-month prioritized roadmap with sequencing logic
- 08Boardroom-ready presentation and leadership walkthrough
How it works
- 01
Week 1 — Discovery & scope
Leadership interviews, scope document signed, success criteria agreed. This is the document the scope guarantee is tied to.
- 02
Week 2 — Analysis
Team interviews, data and product review, customer and competitive landscape, current AI/tool audit.
- 03
Week 3 — Synthesis
Opportunities, bets, risks. First use cases scoped. Roadmap sequencing logic locked.
- 04
Week 4 — Present
Board / exec-ready deliverable. Live walkthrough. Next-step recommendations including whether a Fractional or Interim mandate is the right follow-on.
Pricing
€25K flat, 4 weeks
- 50% at kickoff. 50% within 7 days of the final presentation.
- All fees + VAT.
Scope guarantee: if the roadmap doesn't cover what we agreed in the week-1 scope document, the second half is waived.
Questions leaders ask
- What should our AI strategy be, and where do we focus? →
Start from your business strategy and the problems that matter most, not from the technology. Choose a few areas where the value is large, redesign them end to end, decide where AI should drive growth as well as efficiency, and be explicit about what you will stop doing.
- Why aren’t we seeing a return on AI, and how do we measure it? →
Most companies measure activity, such as logins, pilots and projected savings, instead of the business result the work was meant to change. Set a baseline before you start, tie each initiative to one named profit, cost or customer measure, and review it at executive level every quarter.
- How do we get from AI pilots to scale? →
Design every pilot to scale from day one: a named business owner, a real workflow, a baseline and clear criteria for success. Redesign the work around it, build platforms and data you can reuse, and decide to scale or stop on evidence, not enthusiasm.
All AI leadership principles and guides · 100 AI use cases by function
See if AI Impact Sprint is the right fit.
A 20–30 minute call. You share the pressure; I tell you whether this engagement solves it, or another one on this site fits better.