You have a use case in mind. We dig deep into the workflow, design the AI-powered future state, and build a working prototype. You see it running before you bet big.
Don’t Build The Wrong Thing
You've identified a workflow that's eating your team alive. QBR prep. Handoffs. Risk detection. You know AI could help.
But jumping straight to a build is risky. What if the workflow is broken at a deeper level? What if the data isn't there? What if your team won't adopt it?
We've seen six-figure AI projects fail because nobody validated the approach first. Don't be that team.
3 Weeks to Working Code
Process Mining
We shadow your best people. We extract the tribal knowledge that lives in their heads—not the process doc nobody follows. We document the current state in painful detail.
Future State Design
We redesign the workflow for AI. Not "add a chatbot." It is a fundamental rethink of how the work gets done. Human-AI collaboration, not just automation.
Prototype
We build a working prototype of the core logic. Not a mockup. Actual code running on real data. You see the agent's kernel working before you commit.
PRD Delivery
We deliver a build-ready Product Requirements Document. Clear specs. Architecture decisions. Integration requirements. High-confidence estimate for production.
What You Get
Current State Doc The real workflow, including the undocumented tribal knowledge.
Future State Design How the AI-powered workflow will actually work.
Working Prototype Core logic running on your data. Not a slide deck.
Build-Ready PRD Everything a dev team needs to build it.
Build Estimate High-confidence investment range for production.
The Prototype is Proof
When you walk into the budget conversation, you're not pitching a concept. You're showing working code. Your CFO sees the logic running. Your CTO sees the architecture.
That’s how you get a production build approved.
Frequently Asked Questions
What is a blueprint sprint?
A blueprint sprint is a 3-week engagement that validates your AI use case before you commit to a full build. It includes process mining (extracting tribal knowledge), future-state design (rethinking the workflow for AI), a working prototype (actual code on your data), and a build-ready PRD with fixed-bid pricing.
Why do I need a prototype before building?
Prototypes de-risk your investment. We've seen six-figure AI projects fail because nobody validated the approach first. A prototype proves: the data exists and is accessible, the workflow can be automated, the output is useful, and your team will adopt it. You see working code before committing $100k+.
What's the difference between a prototype and production?
A prototype proves feasibility. It's working code on real data, but not hardened for daily use. Production means: error handling, security, scalability, monitoring, integrations fully built out, user interface polished, and training complete. Prototype is proof. Production is the real thing.
What if the prototype doesn't work?
That's valuable information. You've spent pennies to learn the approach won't work, instead of $100k+. We identify why: data gaps, workflow complexity, adoption barriers. Often we can adjust the approach. Sometimes we recommend not proceeding. Either way, you've de-risked the decision.