The 15-Hour AI Audit: Know Before You Build

A FinTech company once came to us after spending 6 months and $200,000 building an AI system that simply didn't work. The problem? They assumed their data was "AI-ready." It wasn't.

We believe that "AI Strategy" is often just fluff. What you need is an Engineering Assessment.

The Go/No-Go Decision

We don't write 50-page PowerPoints. We offer a 15-Hour Technical Audit to answer one critical question: Can AI solve your problem at an Industrial Grade?

In just two days, we give you a clear Go, No-Go, or "Maybe (with conditions)."

What We Actually Measure:

• Data Topology: Are your PDFs searchable or scanned images? Do you have multi-page tables? We analyze the "shape" of your data to see if it's ready for high-accuracy retrieval.
• Infrastructure Check: Can we deploy in a Private VPC? Do you meet DORA/KNF compliance requirements?
• The Proof of Concept: We take 10-20 of your hardest documents and run them through our prototype engine. We don't guess; we measure.

The Deliverable: A Technical Blueprint

At the end of the 15 hours, you get:

1. The Verdict: A honest assessment of feasibility.
2. The Architecture: A design for a Distributed Agentic Reasoning framework or an Adaptive Architecture Protocol.
3. The ROI: A mathematical estimate of time and money saved.
4. The Cost: A fixed-price quote for the Build.

Why 15 Hours?

Because speed is a competitive advantage. We are "The Adults in the AI Room"—we've built these systems at scale for companies like EY and Sabre. We know exactly what to look for, and we don't need three months to find it.

If the answer is No, we tell you why and save you $200,000. If the answer is Go, we start building the next week.

Conclusion

Don't start building blind. Spend 15 hours with senior engineers to prove your ROI before you spend a single dollar on development.

Measure twice. Build once. OpsSolved.