Make oversight
part of the system.
Define who can act, who approves, and who owns the outcome.
Accountability works when it is enforced by the system, not remembered by people.
The control chain
Policies, checks, approvals, evidence.
Policies
What is allowed, for whom, within which limits.
Checks
Conditions, data quality, and limits, evaluated before anything runs.
Approvals
When a person must sign, the routine waits.
Evidence
Inputs, approvals, and outcomes recorded for tracing.
Accountability at every decision.
- Policies
Define what is allowed
- Checks
Evaluate before acting
- Approvals
Route to the accountable person
- Evidence
Record what happened and why
Controls are reused across routines and agents.
- Policy + evidence
- Automated check
- Human authority
Who acts, who approves, who owns the outcome.
Reusable checks and records, built into the workflow.
Measure: approval and evidence preparation timeDecision rights
Who can act, approve, and own.
An illustrative matrix. The real one is written with your risk owners during discovery.
| Agent may act | Person approves | Named owner | |
|---|---|---|---|
| Draft a customer response | ✓ | ✓ | |
| Update a record in a system | ✓ | ✓ | |
| Commit spend or issue a payment | – | ✓ | ✓ |
| Grant access to data | – | ✓ | ✓ |
| Summarise and route a request | ✓ | – | ✓ |
Frameworks
Where the control layer meets your obligations.
Which frameworks may be relevant?
ISO/IEC 42001 and the NIST AI Risk Management Framework are common references, plus applicable sectoral and local requirements. We help you map controls to them; we do not imply certification or guaranteed compliance.
Does governance slow delivery down?
Controls are designed into the routine from the first iteration, so they are not a late gate. Forward-deployed teams co-design oversight with your risk owners while building.
Who audits systems Amplent implemented?
Assurance is kept distinct from delivery. We establish conflict-of-interest rules so independent assurance has appropriate safeguards.