Proof of Value
A working AI system on your infrastructure in 8–12 weeks — measured against your baselines.
Not a proof of concept. Not a demo on sample data. A working agent on your infrastructure, measured against real baselines, with clear KPIs.
By week 12, you have production-ready software and the evidence to decide: scale, extend, or stop — with a clean handover either way.
Your infrastructure. Your data. Yours to own.
What It Is
An 8–12 week engagement focused on one high-impact use case. We build a Minimum Viable Agent that runs on your systems, with your data, instrumented for audit and performance.
The goal isn't to prove AI works in general. It's to prove it works for you — on your data, in your workflow, measured against your current state.
No theatre. No black boxes. Working software you can point to.
What You Get
Everything documented. Yours to keep. Ready to hand to any team — internal or external.
Working Agent
Production-grade system running on your infrastructure, integrated with one real workflow
Baseline Comparison
KPIs defined up front — cycle time, error rate, throughput, cost — measured against your current state
Evaluation Suite
Test suites, regression checks, benchmarks. You can run them yourself.
Monitoring Setup
Real-time tracking of latency, accuracy, cost — connected to your KPIs, not just model performance
Team Training
Hands-on sessions. Docs that make sense. Someone on your team who gets it and can spread it.
Architecture & Docs
System design, integration specs, runbooks. Everything your team needs to operate and extend.
Decision Package
Clear evidence to decide: scale to more workflows, extend capability, or stop with lessons learned
Full IP Ownership
Code, models, weights, integrations — yours to keep and evolve
Decision Package
Clear evidence to decide: scale to more workflows, extend capability, or stop with lessons learned
Full IP Ownership
Code, models, weights, integrations — yours to keep and evolve
How It Works
By week 6, you have something running. By week 12, you have production-ready software and the evidence to decide.
Discover
Scope one workflow. Define KPIs and baseline. Agree on what "success" looks like.
- Workflow definition
- KPI agreement
- Success criteria
Build
Build the Minimum Viable Agent. Rapid prototyping. Weekly demos. Continuous feedback.
- MVA architecture
- Data integration
- Weekly demos
Prove
Run in shadow or limited production. Tune against real cases. Add guardrails.
- Shadow production
- Baseline comparison
- Guardrails added
Decide
Harden. Monitor. Integration testing. Train your team. Hand it over clean.
- Production hardening
- Team training
- Clean handover
PoC vs PoV
A proof of concept validates an idea. A Proof of Value validates business impact.
"Can we build it?"
"Does it create value?"
Demo on sample data
Runs on your data
Vendor infrastructure
Your infrastructure
Vague "it works"
Measured against baselines
You get a report
You get working software
Vendor owns the IP
You own everything
Technical validation only
Figure out what breaks before you scale
Handover is a slide deck
Handover is tests you can run yourself
What Happens After
At the end of week 12, you have evidence. Three paths forward. Every path is a win — you've learned fast and cheap, not slow and expensive.
Scale
Numbers are there. Roll out to more workflows, teams, or regions.
Extend
Core works. Add capability — more tools, deeper integration, broader scope.
Stop
Didn't hit the bar. Clean handover, lessons documented, no lock-in.
From kickoff to production system. Not a demo—a working system on your infrastructure.