genai initiative prioritization

stop guessing which AI projects to fund. build a portfolio view and prioritize with confidence.

the problem

your organization has a dozen AI ideas floating around — from leadership, from teams, from vendors. some are promising. some are science projects. you don't have a framework to tell which is which, and you definitely don't have a way to explain it to the board.

most genai initiatives never make it from pilot to production. not because the technology fails, but because nobody built the portfolio logic to know which bets to place and which to kill early.


what you get

a prioritized AI initiative roadmap including:


how it works

week 1 — discovery: i interview 4-6 key stakeholders (30 min each) to surface initiatives, understand organizational context, and identify constraints. i also review any existing AI strategy docs or roadmaps.

week 2 — analysis & scoring: i build the scoring framework, map the portfolio, and draft the prioritized roadmap. you get a draft to review before the workshop.

week 3 — workshop session (4 hours): i facilitate a working session with your leadership team. we walk through the portfolio, pressure-test the scores, debate the hard calls, and align on priorities. you leave with a plan everyone has bought into.


best for


pricing

$10,000 — includes stakeholder interviews, scoring framework, portfolio analysis, workshop facilitation, and final deliverable.

typical timeline: 3 weeks from kickoff to final deliverable. additional stakeholder interviews available at $500 each.


other packages

assess: ai architecture audit · build vs buy analysis

build: idea-to-pilot sprint · mcp server build sprint · pilot-to-production sprint

harden: ai governance layer setup


start here

book an intro call — 45 minutes, no cost. we'll talk through where your organization is with AI and whether this engagement is the right fit.