Map
Connect controls to systems and owners.
S/Runtime models which workflows, systems, agents, and people support each control objective.
- Control ownership
- System boundary
- Evidence scope
Evidence automation
Keep control evidence current between audits.
Connect controls, owners, systems, policies, incidents, approvals, and agent activity so regulated teams can answer evidence requests faster.
GRC
Policies
Tickets
Logs
Data catalogs
Approvals
Collect
Assemble current evidence.
Agents gather cited artifacts and flag stale, missing, or conflicting evidence.
- Source evidence
- Freshness checks
- Gap detection
Explain
Tell a defensible control story.
The system produces review-ready narratives with lineage, exceptions, and improvement history.
- Audit narrative
- Exception log
- Export package
Set the read, write, and review rules for this workflow.
Each run checks retrieval permissions, sensitive-data policy, tool scope, and approval requirements before it reaches a consequential action.
Control-to-evidence mapping
Mapped to source permissions, context boundaries, action policy, and audit evidence so teams can prove how AI was used.
Audit trails for AI retrieval, model routes, and actions
Mapped to source permissions, context boundaries, action policy, and audit evidence so teams can prove how AI was used.
Retention and disposal-aware context
Mapped to source permissions, context boundaries, action policy, and audit evidence so teams can prove how AI was used.
HIPAA, GLBA, FedRAMP, CJIS, NERC CIP, and Part 11 evidence workflows
Mapped to source permissions, context boundaries, action policy, and audit evidence so teams can prove how AI was used.
NIST AI RMF governance, map, measure, and manage support
Mapped to source permissions, context boundaries, action policy, and audit evidence so teams can prove how AI was used.
Measure the workflow against its baseline.
Use completed runs, exceptions, and review outcomes to measure “Audit prep hours” against the agreed baseline.
Use completed runs, exceptions, and review outcomes to measure “Evidence freshness” against the agreed baseline.
Use completed runs, exceptions, and review outcomes to measure “Exception closure time” against the agreed baseline.
Use completed runs, exceptions, and review outcomes to measure “Control owner response rate” against the agreed baseline.
Architecture session
Bring one consequential workflow. Leave with a governed agent blueprint.
We will map the context, systems, decisions, controls, actions, and success measures together.