Who this is for

Built for all production and customer-facing AI systems operated by your organization, including third-party models integrated into products, and applies to product, engineering, d…

Every section below is included in your download, summaries only shown here, not the policy text.

• —

  Document control

  Owner, version, review cycle, and approval fields ready to customize.

• 1

  Purpose

  Why this policy exists and the outcomes it supports.

• 2

  Scope

  Who and what systems, locations, and activities are in scope.

• 3

  Definitions

  Key terms defined in a table for consistent interpretation.

• 4

  Roles and responsibilities

  Accountability for executives, owners, managers, staff, and IT.

• 5

  Policy requirements

  Numbered, audit-ready controls you can adopt or tailor.

• 6–8

  Exceptions, monitoring, enforcement

  Exception process, review cadence, and consequences of non-compliance.

• 9–10

  Regional compliance and framework mapping

  US, EU, and global obligations plus mapped control themes.

• A–C

  Appendices

  Customization notes, document history, and approval signatures.

Requirement themes addressed, not the verbatim policy language.

• Define monitoring KPIs per model including accuracy, error rates, latency, fairness…
• Implement automated alerts for data drift, concept drift
• Collect and triage user feedback, support tickets
• Conduct periodic post-market reviews at least quarterly for high-risk models and…
• Report material monitoring findings to the AI Governance Committee and legal where…
• Maintain incident playbooks linking post-market signals to AI Incident Response and…
• Document corrective actions including model rollback, retraining, feature disable
• Compare deployed behavior against validation baselines and update documentation when…
• Integrate vendor AI monitoring obligations into contracts with notification SLAs for…
• Retain monitoring logs and review records for audit and regulatory inquiry per…