Is Your Data AI-Ready?

Most AI readiness checklists are written only for the model side. The one that actually determines whether AI adoption is safe starts with your data.

In many orgs, AI adoption is outpacing the governance meant to control it. This checklist gives security, privacy, and data leaders critical steps, from discovery to enforced policy, to close that gap.

Use it to help guide responsible AI and to:

• Work six checkpoints in order: discovery, classification, privacy controls, access, retention, and enforceable policy, from one shared view of your data
• Spot the red flags: a clear warning sign in each section that tells you where readiness breaks down
• Close the non-human identity gap: the AI agents and service accounts most access reviews still miss entirely

• Pressure-test before you scale: three direct questions to ask before the next pilot or model rollout