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
01 / Workflow
See the run, the handoffs, and the human gates.
Three visible stages replace a chain of hidden prompts and disconnected system actions.
Assemble current evidence.
Agents gather cited artifacts and flag stale, missing, or conflicting evidence.
- Source evidence
- Freshness checks
- Gap detection
Tell a defensible control story.
The system produces review-ready narratives with lineage, exceptions, and improvement history.
- Audit narrative
- Exception log
- Export package
02 / ROI model
Set a measurable target before the pilot.
Illustrative 30-day planning ranges, updated September 6, 2026. Validate each target against your own baseline.
40-60%
Fewer audit-prep hours
Compare hours per evidence request.
25-40%
Faster evidence response
Track request-to-review-ready time.
15-30%
Faster exception closure
Measure open-to-verified remediation time.
Planning targets are illustrative, not guaranteed outcomes or published customer results.
Healthcare services
Planning example, not a customer testimonial or endorsement.
A compliance team stops rebuilding the same evidence package for every review. Owners, controls, artifacts, and exceptions stay linked between audit cycles.
How it helpedLess evidence collection, fresher control records, and quicker follow-up with control owners.
04 / Controls
Keep consequential action inside the review boundary.
Permissions, sensitive-data rules, tool scope, and approvals are checked before action.
- Control-to-evidence mapping
- Audit trails for AI retrieval, model routes, and actions
- Retention and disposal-aware context
- HIPAA, GLBA, FedRAMP, CJIS, NERC CIP, and Part 11 evidence workflows
- NIST AI RMF governance, map, measure, and manage support
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.