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AI Design Sprint

Frame it. Build it. Ship it. In one Sprint.

A full sprint applied to a real product or business challenge. Teams move from problem definition to validated prototype in one intense, structured week. The result is a concept the organisation can decide on, a prototype stakeholders can evaluate, and a team that has learned by building.

Mixed Teams Up to 30 people
4 to 5 days In-person
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The structure

A day in two halves.

The Innovation Sprint is designed so that every hour moves you closer to a tangible output. No all-day workshops that end with a list of ideas and no prototype. By 5pm you have something real.

Morning · Problem framing

Understand the problem worth solving.

AI opportunity mapping — which problems in your context are AI-candidates?
Problem framing workshop — align the team on the most valuable opportunity to solve today
Success criteria definition — what does a good prototype look like for this specific challenge?
Afternoon · Prototype build

Build it. Test it. Ship it.

AI-assisted prototyping — teams build a working prototype of the framed use case
Cross-team review — rapid user-testing within the group; structured feedback protocol
Next steps alignment — who owns what, what gets tested externally, what goes on the roadmap

Why cross-functional

The best AI prototypes come from mixed teams.

When product, ops, marketing, and finance sit in the same room, the problem framing is richer, the prototype is more practical, and the alignment at the end of the day is genuine — not performed. Siloed teams build siloed prototypes.

The AI Innovation Sprint is specifically structured for cross-functional groups. The facilitation keeps diverse perspectives productive rather than noisy. Everyone contributes. Everyone leaves with the same priorities.

You walk away with

Guaranteed every time.

  • Live prototype of a real use case — built during the sprint
  • Prioritised AI opportunity map for your organisation
  • Cross-team alignment on next steps and ownership
Capacity
Up to 30 participants. Groups split into facilitated sub-teams of 4–6 for the prototype build, then reconvene for cross-team review. Facilitation scales.

We ran the AI Innovation Sprint with 22 people across four functions. We'd tried to align on an AI use case for three months in meetings. One day with Anteligen and we had a working prototype and a prioritised roadmap everyone had bought into. That was six months ago — the prototype is now in production.

Dir
Digital Transformation Director
Retail Group · France

Common questions

FAQ

  • We include a structured morning facilitation to identify and select the most viable AI use case from your context. You don't need to come in with the answer — the morning session is explicitly designed to surface and frame the problem. That said, if you have a candidate use case in mind, we can validate it during the scoping call and fast-track the morning session.
  • No prior AI experience is required. The sprint is facilitated so that every team member contributes to problem framing and prototype validation, regardless of technical background. The actual build is led by Anteligen facilitators using AI tools — participants direct the outcome and test the prototype.
  • For complex problems or larger groups, the 2-day format allows a deeper problem framing on day one, more iteration cycles on the prototype during day two, and a proper user-testing session with external participants. The result is a more robust prototype and a clearer go/no-go signal. For well-defined use cases, the 1-day format is usually sufficient.

Every transformation starts with a free AI Maturity Assessment.

30 minutes. Senior consultant. No commitment. Results visible within weeks.

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