→ 01
Map AI to a real workflow
We start with how your business actually runs and find the one or two places AI is truly worth it.
01/AI CONSULTING
Practical AI that ships — not another roadmap.
Most AI advice is decks. We sit with your team, find one workflow worth changing, and build a working system around it. Then we wire up evals so you can trust it tomorrow, not just today.
→/OUTCOMES
→ 02
Ship a working prototype
In 2–4 weeks you have a system you can show to a real user, not a slide of what could be.
→ 03
Set up evals you can trust
Quality regressions show up in a dashboard, not in customer complaints.
→ 04
Plain-English handover
Your team can run it after we leave. No black boxes.
→/PROCESS
STEP 01
Listen
A working session with the people doing the actual work. We come away with the shortlist of where AI fits and where it doesn't.
STEP 02
Map
We turn the shortlist into a single, narrow build target. Inputs, outputs, success criteria, the eval set we'll measure against.
STEP 03
Build
We ship a working system on your data, with monitoring and an eval harness from day one.
STEP 04
Hand-off
Documentation in plain English, owner walkthroughs, and a 30-day support window. You own the code and the prompts.
→/ENGAGEMENT
SHAPE
Discovery workshop, 2–4 week proof of concept, or a scoped full implementation.
TYPICAL LENGTH
2–8 weeks
YOU PROVIDE
- ›Access to the team running the workflow
- ›Sample data (or permission to use yours)
- ›One decision-maker who can answer questions same-day
YOU RECEIVE
- ›A working prototype on your data
- ›An eval harness you can run yourself
- ›A short, plain-English runbook
- ›Source code, prompts, and infrastructure config
→/FAQ
We don't have an AI strategy yet — should we still talk?
Yes. The discovery workshop is built for that. We'll leave you with a shortlist of where AI is actually worth it and where it isn't.
Do you build agents or just integrations?
Both. We've built single-call integrations and multi-step tool-using agents. We pick whichever is the simplest thing that works.
How do we know it's working in production?
Every system we ship comes with an eval set and a small dashboard. Quality regressions show up there before customers see them.
Whose API key do we use?
Yours. You own the keys, the prompts, and the data flow.