Your board is asking about AI. Is the organization ready for the answer?
Fifty-six checks across the seven areas that decide whether AI helps the business or quietly adds risk. Check what is true today, not what is planned. Your section scores update as you go.
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Why readiness comes before tools
AI is already in use
Staff use public AI tools whether or not there is a policy, and vendors switch on AI features inside software you already own. The first question is not whether to adopt AI. It is what is already happening.
The data decides the outcome
AI works on the data it can reach. Scattered, duplicated, or poorly permissioned data produces confident wrong answers, and sometimes shows people things they should never see.
Attackers adopted it first
Better phishing, cloned voices, and faked video calls are already used to move money. Readiness includes the controls that stop AI being used against you.
Someone has to own it
Without a named owner, AI decisions happen one team and one tool at a time. With one, the organization can say yes to the useful things quickly and no to the risky ones clearly.
Where AI stands now
AI moved from experiment to priority in a year, usually ahead of the policy that should govern it. In our reviews, the most common exposure is simply having no AI policy or owner, and not knowing it. Four facts set the stage.
priority for state CIOs in 2026 is AI, displacing cybersecurity for the first time in twelve years.
NASCIO, State CIO Top Ten 2026of organizations report employees using generative AI without restrictions.
Deloitte, via AVANT State of Disruption 2025in added breach cost for the 20% of organizations that reported a breach tied to unsanctioned AI tools.
IBM Cost of a Data Breach 2025, via AVANT State of Disruption 2025malicious breaches studied this year were AI-enabled.
IBM, Cost of a Data Breach 2026How to use this assessment
Quick and practical. About ten minutes if the inventory exists, longer if it does not, which is itself a finding.
Answer for today
Check an item only if it is in place now. Planned, piloting, or partly true stays unchecked.
Include everyone
AI use in marketing, finance, and HR counts as much as use in IT. Ask around before you answer.
Bring IT and one business leader
Several items are settings IT can confirm; others are questions only the business can answer.
Use the result
Your weakest sections are the order to work in, and the start of the plan your board asked for.
Section scores, weakest first
Where to start
Want to turn the score into a plan?
We go through your results with you and turn your weakest sections into a short, ordered plan your leadership can act on. No product to sell; if we ever name a supplier, we tell you in writing whether it pays us before you choose.
Sources
- NASCIO, State CIO Top Ten Policy and Technology Priorities for 2026
- AVANT Analytics, State of Disruption: Business Resilience (November 2025), provided by The Deady Group
- IBM, Cost of a Data Breach 2026 (press release)
- Verizon, 2026 Data Breach Investigations Report
- FBI IC3, Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud (December 3, 2024)
- FinCEN, Alert FIN-2024-Alert004 on fraud schemes involving deepfake media (November 13, 2024)
- NIST, AI Risk Management Framework 1.0
- NSA, CISA, FBI and partners, AI Data Security: Best Practices for Securing Data Used to Train and Operate AI Systems (May 22, 2025)