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Governance Guide

AI Data Retention Policy (2026) - Compliance Template

AI teams need explicit retention rules to reduce compliance and security risk while keeping enough evidence for troubleshooting. This template defines policy controls, ownership, and review cadence.

Direct answer

AI teams need explicit retention rules to reduce compliance and security risk while keeping enough evidence for troubleshooting. This template defines policy controls, ownership, and review cadence.

Fast path

  1. Define retention scope by workflow type, data sensitivity, and regulated exposure.
  2. Set prompt and output retention windows with approved exception rules.
  3. Assign owner accountability for retention controls, deletion SLA, and audit evidence.

Guide toolkit

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Implementation Steps

  1. Define retention scope by workflow type, data sensitivity, and regulated exposure.
  2. Set prompt and output retention windows with approved exception rules.
  3. Assign owner accountability for retention controls, deletion SLA, and audit evidence.
  4. Review unresolved retention gaps monthly and publish remediation actions.

Related Guides

Use these adjacent playbooks to keep the same workflow connected across discovery, conversion, and execution.

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