AI Integration

01 / What it is

Audit your product, identify the 1-3 places where AI changes the unit economics, and ship those features end-to-end. Models, prompts, evals, infra.

02 / Benefits

• Measurable lift on a north-star metric
• AI as infrastructure, not a marketing demo
• Costs and latency you can defend to the board

03 / How it works

1. Step 01
   Audit

   Where AI moves a real metric, where it would just be theatre.

2. Step 02
   Select

   Model, provider and architecture chosen for cost, latency and quality.

3. Step 03
   Ship

   1 to 3 features in production with evals and guardrails.

4. Step 04
   Instrument

   Cost and quality dashboards your team owns going forward.

04 / Deliverables

• AI opportunity audit
• Model + provider selection memo
• 1-3 shipped AI features
• Eval harness + guardrails
• Cost & latency dashboard

05 / Outcomes

• →Measurable lift on a north-star metric
• →AI as infrastructure, not a demo
• →Internal team able to extend the work