This is what your AI Readiness snapshot will look like. The numbers and bullets below are illustrative; the structure, layout and live data on your real result will match exactly.
A look at the full result page.
The score, band, three narrative bullets, six-axis radar, percentile ribbon and three prescribed next moves — all the artefacts you actually walk away with. No hidden upsell.
Competent: Systematic practice with measurable gaps. A few axes still lag.
- Strongest signal:
Your team has Copilot, ChatGPT and Gemini under named seats with weekly experiment write-ups — a tooling and adoption baseline that most peers haven’t reached. The infrastructure for productivity gain is in place; the gap is governance discipline.
- Watching closely:
Production model changes ship without documented rollback plans, creating operational and regulatory risk that auditors and board committees will flag. Without this, every adoption win is a future incident in waiting.
- Recommended next 90 days:
Mandate written rollback plans for every model deployment, run a SENTINEL-style governance review on your top three AI workflows, and expand the Skills Depth track for your weakest function before scaling.
How you stack up against the cohort.
Pick one. Ship something this week.
Calibrated to the two axes where you have the most room to grow.
See the exact 5-axis rubric we score governance-shaped prompts against.
SENTINEL writes regulatory addenda for fair-lending / HIPAA / SOX scenarios.
Invite teammates, aggregate their scores, download a board-ready PDF.
Pilot vignettes anchored to governance.
Two illustrative outcomes from beta-cohort teams that started where you are. Numbers are simulated and indicative — labelled honestly.
“We thought we had a meetings problem. We actually had an unspoken-assumption problem. The team practice surfaced it.”
“The first time the AI flagged a missing rollback owner, I thought it was a false positive. By the third time, it had stopped two outages.”