AI Sprint

Test your riskiest assumptions before betting big

You have an AI idea. Maybe it’s brilliant. Maybe it won’t work in practice.

Find out in weeks, not months—with a working prototype that answers your hardest questions.

The problem

You’ve identified a specific AI opportunity. Maybe it’s automating document processing, building a recommendation engine, or creating a custom analysis tool.

The opportunity looks promising. But you have critical unknowns:

• Will the AI outputs be accurate enough for your use case?
• Can you get the data quality and volume you need?
• Will the user experience actually work in practice?
• What will this cost to build and run at scale?

Traditional approaches force you to choose:

1. Commit 6-12 months and $200K+ to find out if your idea works
2. Run endless planning meetings that never resolve the uncertainty

Neither option tests your riskiest assumptions quickly.

What you need is a rapid prototype that answers your critical questions with real working software—before you commit to a full build.

How this works

The AI Sprint validates your idea in 4-6 weeks through a working prototype.

We identify your riskiest assumptions, then build just enough to test them with real data and real users.

You get:

• Problem Validation: Confirmation that AI can solve your specific problem
• Working Prototype: Functional software you can demo and test with users
• Technical Proof: Evidence that your approach works with real data
• Cost Model: Realistic estimates for full implementation and operation
• Decision Package: Clear recommendation on whether to proceed

This isn’t a polished product. It’s a learning tool—built to answer your hardest questions as quickly as possible.

The deliverable is working software plus a 10-page report documenting what we learned and recommended next steps.

Process

Week 1: Define & Design

Identify the riskiest assumptions to test. Define success criteria. Design the minimal prototype that answers critical questions.

Week 2-4: Build

Develop working prototype using production-grade tools and real data. Focus on validation over polish.

Week 5: Test & Learn

Run prototype with real users and data. Document what works, what doesn’t, and why.

Week 6: Recommend

Deliver decision package with prototype, findings, and clear recommendation on full implementation.

Investment

Fixed price: $25,000 - $35,000

Price depends on scope complexity and data requirements.

Includes:

• Problem definition and success criteria
• Working prototype with real data
• User testing and validation
• Technical proof and cost modeling
• 10-page decision package
• Recommendation on full implementation

This is right for you if:

• You have a specific AI idea to validate
• You need evidence before full commitment
• You can provide access to real data
• You have users available for testing
• 4-6 weeks meets your timeline

This isn’t right if:

• You need a polished product immediately
• You’re still exploring what to build
• You don’t have data to test with
• Your timeline is under 3 weeks
• You want someone to run ongoing operations

Start this engagement

Validate your AI idea in 4-6 weeks.

Discuss your situation