Enterprise control

AI governance

The policies, decision rights, controls, evaluation and escalation paths that keep AI systems accountable in production.

Published: 2026-08-30Updated: 2026-08-30Author and reviewer: StrategIA

Key takeaways

  • Explicit authority.
  • Ongoing evaluation.
  • Proportionate escalation.

Governance in the flow of work

Effective governance is embedded in decisions, tools, data, deployments and operations rather than isolated in a separate policy.

  • Authority boundaries
  • Traceability and evaluation
  • Intervention and escalation

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Suggested citation

StrategIA (2026). “AI governance.” StrategIA. https://siaas.ai/en/authority/governance