Know where to deploy AI — and where you shouldn't yet.
A structured AI readiness assessment for founders and operators. Score data, governance, and use-case maturity, and get a prioritized plan.
AI ambition outpaces AI readiness.
Most teams jump to use cases before fixing data quality, access control, and governance — and then ship pilots that quietly stall.
- Data is scattered, inconsistent, or ungoverned
- Use cases aren't ranked by value and risk
- No clear plan for evaluation, rollback, or vendor risk
A risk-led readiness scorecard.
Answer a short intake, drop in any policy docs you have, and get a 1–100 readiness score, red flags, opportunity areas, and an assignment checklist.
- Scoring across data, governance, security, and team readiness
- Use-case prioritization with risk-adjusted ranking
- Vendor and model risk findings
- 7-day plan to close the highest-leverage gaps
Where teams use it.
Pre-seed and seed founders
Decide where AI compounds product value and where it adds risk without leverage.
Operators in regulated industries
Map governance gaps before deploying AI on customer or regulated data.
Functional leaders
Build a defensible roadmap for AI in finance, legal, marketing, or ops.
Common questions
- Who should run this?
- Founders, operators, and AI entrepreneurs evaluating where to invest first and what guardrails to put in place.
- What does the score cover?
- Data readiness, governance, security posture, use-case clarity, and the team's action readiness.
- What do I get?
- A 1–100 readiness scorecard, red flags, missing-information list, recommended assignments, and a 7-day action plan.
Open your first case in under three minutes.
Free during preview — no credit card. Get a 1–100 risk scorecard and a clear next-action plan.
AI-generated assessment for informational purposes only. Not legal, security, or compliance advice.