Use-case classification
Evaluate intended use, data, users and impact against the approved risk taxonomy.
AI governance
Turn AI policy into a control plane agents can actually use.
Compile approved-use, risk tiering, disclosure, human oversight and evidence requirements into checks that run inside AI workflows.
The operating reality
Most AI policies describe what should happen. Production agents need an exact answer about what may happen now, for this data, user, model, tool and consequence.
Policybecomes executable
Agentchecks before acting
Proofis generated by default
The runtime compliance gate
Check the answer or action before it creates impact.
Rulebook evaluates live context against the confirmed policy and regulatory rules that apply, then returns a decision the agent must follow.
01Context
Actor, purpose, data, jurisdiction and proposed action
02Gate
Allow, deny, obligations or named human review
03Audit
Evidence, rulebook version and signed decision trace
Why the gap persists
Policies exist. Runtime compliance gates do not.
01
Policy controls are separated from agent runtime decisions.
02
Risk classification does not follow the use case into production.
03
Logs show events but rarely show the governing reason.
Rulebook in the workflow
Runtime obligations
Return required disclosures, human checks, prohibited actions and evidence requirements.
Change control
Confirm, version, test and publish rule changes with a visible approval record.
Potential outcomes
Make compliance a gate in the work, not a report about the work.
- AI policy applied consistently at runtime
- Faster evidence collection for governance reviews
- A clear boundary between model behavior and enterprise authority
Questions leaders ask
Which frameworks are available?
Rulebook includes operational starter templates for the EU AI Act and NIST AI RMF, alongside privacy, security and sector templates.
Are templates legal advice?
No. Templates are operational starting points. Authorized reviewers must adapt and confirm them for the organization.
Executive briefing
Add an auditable compliance gate to AI governance.
Bring one consequential agent workflow. We will map the governing policies and regulations, runtime gate, human authority and auditable evidence path with your team.
Request a briefing