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
Looking for a deeper explanation?
Browse controlled FAQsSuggested citation
StrategIA (2026). “AI governance.” StrategIA. https://siaas.ai/en/authority/governance