AI Audit & Roadmap
Where AI actually saves you money — a workflow audit, a prioritized roadmap, and a working prototype of the top use case.
Before you spend on an AI build, you should know where AI pays back and where it burns cash. We audit your workflows, data, and tooling, find the one or two places AI moves a real number, and hand you a prioritized roadmap plus a working prototype of the highest-value use case. You leave with evidence, not a slide deck.
What you get
- ✓A ranked map of where AI saves money or time in your business — and where it doesn't
- ✓A working prototype of the highest-value use case, not just recommendations
- ✓A build / buy / skip roadmap with effort, cost, and expected payback per opportunity
Who it's for
- —Founders and ops leads unsure whether AI is worth the spend for their workflow
- —Teams handed an 'add AI' mandate with no clear first target
- —Businesses burned by a generic AI pilot that never reached production
How we work
A real engagement, week by week.
- 1Days 1–2
Workflow + data audit
- Map the workflows, handoffs, and data you actually run on
- Find where volume, cost, or delay make AI worth it — and where it isn't
- Check data readiness: ownership, format, freshness, and access
- 2Days 3–4
Opportunity ranking
- Score each opportunity on payback, effort, and risk
- Pick the one use case worth prototyping first
- Agree the success signal before we build anything
- 3Day 5+
Prototype + roadmap
- Build a working prototype of the top use case on your real data
- Document a build / buy / skip roadmap for the rest
- Hand over with honest effort and cost estimates
Why us
Why us.
We ship AI to production ourselves, so the audit is grounded in what survives contact with real data, not vendor hype.
You get a working prototype, so the roadmap is proven rather than theoretical.
If AI is the wrong tool for a workflow, we say so — the honest 'skip' is part of the deliverable.
Common questions
Things prospects ask first.
No. You get a working prototype of the highest-value use case on your real data, plus the roadmap. The prototype is the proof.
Then that's the deliverable, and we've saved you a much larger build. We'd rather tell you upfront than sell a project that fails.
Usually yes. It's built on the same stack we'd productionize, so it's a head start, not throwaway.
Also booking now
- →AI Agents & RAG ChatbotsProduction RAG agents grounded in your real data, with tool-calling and a measured hallucination rate.
- →AI Agent Reliability & EvalsOn-call reliability, eval suites, observability, and model/cost optimization for production AI agents.
- →AI Integration for Existing SoftwareLLM features inside a real backend: streaming, auth, rate limits, retries, fallback, and cost control.
Ready to start this?
20-minute scoping call. We'll tell you straight whether it's a fit.