For Organizations · Governance
Governance becomes real at the workflow.
The Work
From policy to practice.
Build a use-case intake path so AI work is requested, described, and reviewed.
Make tool and data decisions explicit, including where AI should not be used.
Define controls: access, storage, retention, provider terms, and privacy boundaries.
Require evidence — what must be verified, by whom, and against what source of truth.
Set escalation, stoppage, incident, and rollback paths before deployment.
Scope pilots and schedule review dates for renewal or revision.
Potential outputs
- Use-case review
- AI Contribution Map for the organization
- Governance and Security Requirements
- Verification and approval-gate definitions
- Escalation, incident, and rollback paths
- Review schedule and evidence expectations
PRIVACY. Governance outputs describe workflows, tools, data flows, roles, and controls. They do not contain private participant reflections.
These outputs support internal decision-making. They are not legal advice, a compliance certification, or a penetration test.