Resources

The documents a governance engagement hands over, who owns them, what makes them acceptable, and what happens to them when the person who commissioned the work leaves.

Five measures that show whether AI governance is working, four that mislead, how long each takes to mature, and why the baseline has to be taken before the work starts.

Six lessons from documented government AI programmes, drawn from GAO evaluations and the UK Government AI Playbook, with what each one suggests for a public organization starting out.

Ten questions a leader can ask without technical knowledge, chosen because the answers are usually surprising, and what the pattern of answers tends to reveal.

The seven dimensions LABUSA assesses, what each one covers, why it is separate from the others, and what a weak result in it actually costs.

A working checklist across the seven readiness dimensions, built so every item has a verifiable answer, with a plain statement of what completing it does not establish.

Districts are further into AI than most public organizations and further from having decided anything. What a readiness assessment looks at in a district specifically.

Where the value is in local government, why public records is the question a vendor will not raise, and what a readiness assessment establishes before a purchase.

A governance position sized for organizations without a compliance department: an inventory, a named owner, a data rule, an approved list, and real human oversight.

Ten risks to work through before deploying AI, from the tools already in use and inherited permissions to prompt injection, missing logs and cost as an availability risk.