CHU / CASE 002
AI Company OS
A case study in giving agent workflows clear scope, approval, audit, and ownership boundaries.
- Case status
- Recorded
- Work type
- Governance architecture
- Updated
Result boundary
The implementation direction makes governance explicit before expanding agent autonomy.
System map
A recorded governance workflow map: Inbox → Agent → Review → Approve → Execute → Audit
Context
Multiple agents and people needed a shared operating model before higher-risk automation could be considered.
Problem
Multiple agents and people require clear scope, approval, audit, and ownership boundaries.
Constraints
The Owner remains the highest authority, and risky actions require approval.
Decisions
Treat governance and auditability as prerequisites for autonomy rather than adding autonomy first.
Architecture or workflow
Scope, role, approval, audit, and session decisions form the operating boundary around agent work.
What was built
AI Company OS is recorded as an evidence-led governance case study. It explains the boundaries that make agent work reviewable before higher-risk actions are considered.
Verification
Review focuses on approval boundaries, ownership, and staged workflow checks; no autonomous business outcome is claimed.
Evidence artifacts
- Evidence type: Approval boundaries, ownership, and an auditable staged workflow.
- Artifact type: Governance boundary record
- Architecture decisions, RBAC, audit model, session governance, and staged delivery decisions are the available evidence sources.
What is not proven
No productivity, revenue, user adoption, or autonomous-decision rate is claimed.
What changed / learned
An agent system needs governance before autonomy.