AI discovery work often leaves teams with scattered notes, unclear owners, half-formed use cases, governance concerns, and no practical rollout sequence.
Back to proof
AI Implementation / Client Delivery Prototype
AI Implementation OS
A demo-ready prototype that turns messy discovery notes into a reviewable AI implementation package.
Outcome: Created a local, deterministic prototype that packages discovery notes into prioritized opportunities, a decision memo, governance notes, a 30/60/90 roadmap, and enablement tasks.
The evidence
Problem, system, review loop, result.
A discovery-to-delivery package that turns intake notes into prioritized opportunities, a decision memo, governance notes, rollout milestones, and enablement tasks.
The demo uses deterministic local logic, synthetic data, and inspectable outputs so the workflow can be reviewed without API keys or client data.
This is a portfolio-ready implementation package prototype, built to show how I would structure customer-facing AI discovery and rollout work.
Public proof
It directly maps to AI implementation roles: intake, prioritization, business case, governance, roadmap, and enablement in one reviewable package.
The public version uses fake Northstar data. It is a demo-ready prototype, not a production client deployment.
Northstar sample only
backlog, memo, roadmap, controls
no external AI calls in the demo
Ownership
Clear about the judgment. Clear about the assistance.
Problem definition, workflow design, evaluation criteria, source selection, validation, rollout, user feedback, adoption, and outcome framing.
Code, app structure, scripts, UI wiring, parsing, tests, and iteration support. I stayed accountable for whether the workflow was useful and honest.
Artifacts and proof
Look at the work.
Screenshots and artifacts are public-safe by design. Private strategy, records, credentials, and customer data stay out.
Synthetic discovery notes flow into a structured implementation package.
Use cases are ranked by value, effort, risk, and pilot readiness.
Business case and control notes make the recommendation reviewable.
30/60/90 milestones and enablement tasks turn strategy into execution.
Why it matters