Enterprise Services
AI Governance & Controls
Establish the policy, risk, and reporting foundation needed to operate AI Agents safely and defensibly at scale.
AI governance, policy & framework
Superwise works with your team to define usage policies, map risk and controls, and design an audit trail — translating the framework into reporting your board and regulators can rely on.
- Policy, risk, and control framework tailored to your AI/Agent use cases
- Explainability and audit-trail design aligned to regulatory expectations
- Defined roles, RACI, and escalation process for ongoing governance
Expected outcome
A documented governance framework your organization can operate under and report against — covering policy, risk controls, and audit trail, ready for board and regulatory review.
- Governance policy framework and risk/controls register
- Board and regulatory reporting templates
- Clear ownership model (RACI) for ongoing AI governance
What's involved in the engagement
1
Policy Framework
- •AI usage policy and acceptable-use guidelines
- •Model/Agent approval and change-management workflow
2
Risk & Controls
- •Risk taxonomy for AI/Agent use cases
- •Control mapping: pre-deployment, runtime, post-deployment
3
Explainability & Audit Trail
- •Decision-logging and explainability requirements by use case
- •Audit-trail design aligned to regulatory expectations
4
Board & Regulatory Reporting
- •Board/exec oversight reporting templates
- •Regulatory-specific reporting options (e.g., healthcare, manufacturing)
5
Roles & Operating Model
- •RACI for AI governance across business, IT, legal, compliance
- •Escalation and exception-handling process
6
Deliverable & Readout
- •Governance policy framework and risk/controls register
- •Board and regulatory reporting templates
Next step
Best suited for organizations moving from pilot to broader deployment, especially in regulated industries.