GenAI Strategy & Use-Case Discovery

Overview

A three-week Discovery sprint that replaces guesswork with a prioritized, sized, and sequenced plan — so your first AI investment ships, instead of joining the 40% of agentic projects cancelled before launch.

Honest about fit

A fit if…

You have a CEO-issued AI mandate but no shipped internal AI product
You've tried ChatGPT, Copilot, or one-off tools — and now need to know what to build next
You have a named owner with budget authority for the build that follows

Not a fit if…

You already know exactly what to build and just need engineers — start with RAG or Agentic
You want a working prototype, not a plan — go straight to a build engagement
You're under 50 employees or pre-revenue — we're not the right fit yet

What you get

Concrete deliverables. No hand-waving.

8–12 stakeholder interviews across leadership, ops, IT, and end users
Current-state audit: data sources, tooling, prior AI attempts, organizational readiness
Longlist of 20–40 candidate use cases scored on value × feasibility
Shortlist of 3–5 use cases with sized estimates, success criteria, and a risk register
Recommended technical architecture: model choice, retrieval, eval strategy, MCP exposure
~25-page written deliverable + 90-minute leadership readout