Create
Prototype Sprint
A stakeholder-ready AI prototype. Fast.
Days 1 and 2: problem framing, technology selection, architecture decisions. Days 3 and 4: build. Day 5 (optional): stakeholder demo and go/no-go assessment. Functional output at every stage.
Innovation Teams
CIO
CDO
4 to 10 days
Fixed scope
How it works
Two weeks. Two phases. One working prototype.
Why Anteligen
Classic build vs. Anteligen build.
| Classic build | Anteligen build |
|---|---|
| 6 to 18 months to first prototype | 4 to 10 days to a working demo |
| Recruit an AI team first: 2 to 3 months | Zero recruitment. We embed immediately. |
| MVP launch in 6 months to 1 year | Deployable MVP in 4 to 8 weeks |
| Fixed specs, waterfall delivery | Short sprints, working output at every cycle |
| You inherit a black box | Full knowledge transfer. Your team owns it. |
| ROI visible only at project end | Stakeholders see value in days, not months |
You walk away with
Four assets. All yours. From Day 10.
- Functional AI prototype — ready for stakeholder review
- Full technical documentation of the build
- Architecture & technology stack decision log
- Go / no-go assessment for the MVP full build phase
The natural next step
The sprint gives you a validated prototype and a go/no-go decision. The MVP Full Build gives you a production-ready product.
Most clients move from Prototype Sprint to AI MVP Full Build within two weeks of the Day 10 demo. The go/no-go assessment becomes the brief. The architecture doc becomes the foundation. Nothing is wasted.
Start the sprint →Common questions
FAQ
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Scope changes are captured transparently. We'll document what the change involves, how it affects the timeline, and present you with a clear choice: adjust scope within the sprint, or carry the addition into a second sprint. This is agreed before any work is done on the change.
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You do. 100%. All code, documentation, and IP produced during the sprint belongs to your organisation from Day 10. Anteligen retains no rights to your prototype or the ideas it embodies.
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Technology selection is part of Week 1. We're stack-agnostic and choose based on your use case, your team's existing infrastructure, and what gives you the most maintainable result post-sprint. Common choices include Python, Node.js, and leading LLM APIs (OpenAI, Anthropic, Mistral) — but the right stack is the one that fits your context.
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Yes. Some clients run 2–3 sprints to explore different use cases before committing to a full MVP build. Each sprint is independent and delivers a complete prototype. For production-grade development, we recommend moving to the AI MVP Full Build, which includes team training and V2 backlog handover.
Every transformation starts with a free AI Maturity Assessment.
30 minutes. Senior consultant. No commitment. Results visible within weeks.
Book my free AI Maturity Assessment