High-Risk AI Deployment Governance

Govern deployer use against provider instructions, input-data requirements, monitoring, human oversight and escalation.

For deployers of high-risk AI, connect the provider's instructions to the organization's actual operating process.

1. Assign a system owner and document intended use, trained overseers, required support and relevant input-data checks.
2. Confirm that the deployment conditions match the instructions. Route any required data protection impact assessment to the privacy lead and use the provider information; assess a fundamental-rights impact assessment separately.
3. Put monitoring, user information and escalation arrangements in place. Follow the applicable suspension or incident-notification route when a relevant risk or serious incident is identified.
4. Review changes in use, personnel, data or instructions and document decisions before continuing the affected activity. Do not assume all deployers have every specialist duty; check each linked obligation's conditions.

Before deployment; throughout use as applicable; on instructions, data, role or purpose changes; immediately at a relevant escalation trigger.

Deployment assessment and accountable-owner approval Current provider instructions and operating procedures Oversight assignments and controlled-input checks Impact-assessment decisions and provider-information records Monitoring, notices, escalation and change records

Select a live deployment and walk through the instructions with its owner. Check oversight authority, relevant inputs and required notices. Trace one change or alert to a reviewed decision, including whether suspension or external escalation was considered.