How we govern AI
The agent prepares. A named person decides.
Before anyone pilots an agent, the CFO and the auditor ask the same questions. Who approved this? Show me the evidence. Where does our data go? Our agents are built so the answers are always on record.
Anatomy of a governed agent
Perceive
Reads only the systems you connect: ERP, email, documents, data feeds.
Propose
Checks against your rules and contracts, and prepares the next step with evidence attached.
Decide
A named approver approves, edits or rejects, on one screen.
Act & log
Only the approved step runs. Everything is recorded.
Role-based approvals and a full audit trail
You decide what an agent may prepare, who approves each type of decision, and the thresholds that route work to them. Every input, piece of evidence, proposal and decision is recorded with who made it and when.
Run inside your own cloud
Where your security or data-residency requirements call for it, we deploy inside your own cloud environment, so your data stays within your boundary.
Where governed agents sit
Not every “AI agent” is the same thing. We work where the value in operations is today, and where risk stays controlled.
| Type | Dashboard | Copilot | Governed agent | Autonomous agent |
|---|---|---|---|---|
| What it does | Shows what happened | Answers when asked | Prepares the next step with evidence | Executes end to end |
| Decision by | A person | A person | A named person | The agent |
| Best for | Monitoring | Analysis | Money, customers, commitments | Low-risk, reversible tasks |
Start with a fixed-fee assessment. Prove it with a paid pilot.
We find the two or three workflows where an agent pays back fastest, and tell you plainly where it won’t.