The AI Foundation-to-Impact Playbook

How to ship real AI outcomes without locking yourself into one model or vendor.

Why This Approach Works

Model agility: Abstract the model behind a single contract so you can swap providers with minimal code changes.
Data discipline: Clean API + data contracts keep app logic simple and governed.
Business-first: Start with one lighthouse use case tied to a measurable lever.
Operate what you ship: Managed platform, SLAs, and cost controls.

The 5-Part Playbook

1) AI Foundation Playground: Model Adapter, Eval Harness, Prompt Versioning, Observability, Cost Controls.

2) Separate Data & Logic: API Management, Data Contracts, right-sized stores, governance with PII classification.

3) Pick a Lighthouse Use Case: Score on impact × feasibility × observability. Great candidates: assisted quoting, ticket triage, knowledge copilots.

4) Augment the Team: Embedded roles, pair-programming, playbooks, office hours.

5) Managed Platform: Reliability SLOs, security, cost dashboards, model lifecycle management.

Timeline: 10–16 Weeks

Week 0–1: Readiness, KPI tree, risk log
Week 2–4: AI Playground
Week 3–7: Data/API layer
Week 6–14: Lighthouse build → adoption dashboard
Week 8–16+: Team augmentation → managed ops

If you want measurable AI outcomes in 10–16 weeks without vendor lock-in — let's run a 90-minute scoping workshop.