Legacy access provisioning
Translate an approved access request into system-specific steps with segregation-of-duties checks.
What this workflow does
Translate an approved access request into system-specific steps with segregation-of-duties checks. It validates identity and permissions, simulates the bounded action, and executes only the approved change with verification and rollback evidence.
What you gain
Provisioned access with verification and expiry
What the AI agent changes
How this worked before
API and RPA automations could repeat known clicks, but they were brittle when the interface or situation changed.
What the AI agent changes
The agent combines identity, approval, segregation-of-duties, and least-privilege rules before preparing a bounded access change.
Agent trigger
A manager-approved access request passes identity verification.
Inputs
- Process context: identity, role catalog, approvals, SoD rules, and target state
- Approved policies, ownership, and exception rules
Agent flow
- 1
Verify identity, entitlement, and the current policy version.
- 2
Simulate the requested action and calculate its bounded effects.
- 3
Prepare a permitted least-privilege provisioning plan with side effects and rollback conditions.
- 4
Execute the approved action, verify the result, and log the change.
Human decisions
After step 3
The accountable process owner approves a permitted least-privilege provisioning plan.
Outcome
- Provisioned access with verification and expiry
- Evidence, exceptions, and audit trail
Guardrails
- Block execution when identity, evidence, or rollback conditions are incomplete.
- Require fresh approval for irreversible or high-value actions.
Risks and mitigations
An incorrect or over-scoped action can change a material record.
Use least-privilege tools, dry runs, hard limits, and post-action verification.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.
Microsoft
Microsoft Copilot Studio customer story
Microsoft documents internal agents that resolve employee cases across connected enterprise systems.
Michel Lieben on X
Enterprise agent workflow example
A practitioner example illustrates guarded enterprise automation rather than a standalone chat experience.