Enterprise AI Readiness Scorecard
Ten questions, five minutes, and a score out of 20 showing where your organization stands on AI governance, data protection, and rollout sequencing. Better to find out here than in an audit or a stalled deployment.
Free. Results read personally by Sai Turlapati, Founder of Enterprise AI Digest and former Microsoft MVP.
What it measures
The ten areas that decide AI outcomes
Visibility and access
What your AI tools can reach, what’s overshared, whether identity is enforced, and which AI your employees already use without you knowing.
Controls and cost
Agent ownership and lifecycle, data protection and DLP posture, and whether your AI licensing spend matches actual usage.
Sequencing and readiness
Whether adoption follows a prioritized plan, whether you could defend your controls to an auditor tomorrow, and whether your team has been trained.
Your score
What the bands mean
At risk: AI is ahead of your controls
AI is likely already inside your organization ahead of your governance. The gaps are foundational: visibility, permissions, ownership. Foundational gaps are also the fastest to close.
Building: right work, real gaps
You’ve started the right work, but an audit or an incident would still find holes. Sequencing is your lever: what to fix first, and why.
Governed: ahead of the pack
You’re ahead of most small and mid-size organizations. Your opportunity is scaling adoption on the foundation you’ve built, without outrunning it.
After your score
What happens next
You get your score and band immediately. Within one business day you get a short personal note naming your two weakest areas and one concrete step for each. No sequence, no drip campaign, no obligation. If you want to walk through the results, that’s what the 30-minute call is for.
Book the 30-minute callFive minutes now, or a finding later
Every AI deployment gets assessed eventually: by you, by an auditor, or by an incident. The scorecard makes sure you go first.