Step 01
Accountability, decision rights, and responsible use policy.
Does your organization have a named executive accountable for AI outcomes?
Do you have defined decision rights for AI approval before deployment?
Are there documented policies covering responsible AI use, including bias, privacy, and transparency?
Step 02
The quality, lineage, and controls behind the systems you rely on.
Do you have a clear inventory of the data your AI systems rely on?
Are data quality and lineage standards enforced?
Is sensitive data handling reviewed before AI projects start?
Step 03
The leadership fluency and cross-functional ownership required to move safely.
Do leaders have AI literacy training appropriate to their role?
Is there a cross-functional team — including legal, IT, and operations — involved in AI decisions?
Step 04
The checks that turn responsible intent into repeatable operating practice.
Do you run risk assessments before AI systems go live?
Are there monitoring and review checkpoints after deployment?
Almost there
We’ll use these details to deliver your readiness summary and follow up with a relevant perspective.
Submission received
Our team will follow up with your readiness summary.