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IT and HR case resolution

Resolve policy-grounded employee requests across identity, HR, and IT systems.

What this workflow does

Resolve policy-grounded employee requests across identity, HR, and IT systems. It coordinates dependencies across connected systems, pauses at exception boundaries, and records the state of every approved sub-step.

What you gain

Resolved employee case with audit history

What the AI agent changes

How this worked before

A fixed workflow required every system and input to behave exactly as expected; one exception stopped the entire chain.

What the AI agent changes

The agent chooses the next tool from the current state, recovers from common exceptions, and asks for a decision at the right boundary.

Agent trigger

An authenticated employee submits an IT or HR request.

Inputs

  • Process context: employee identity, policy, entitlement, and case data
  • Approved policies, ownership, and exception rules

Agent flow

  1. 1

    Build the dependency graph and verify every connector permission.

  2. 2

    Coordinate read-only sub-steps and surface blocked dependencies.

  3. 3

    Prepare a policy-compliant resolution or specialist escalation with state, exceptions, and rollback points.

  4. 4

    Execute approved sub-steps idempotently and verify the final state.

Human decisions

After step 3

The accountable process owner approves a policy-compliant resolution or specialist escalation.

Outcome

  • Resolved employee case with audit history
  • Evidence, exceptions, and audit trail

Guardrails

  • Pause when a dependency or approval is missing.
  • Record before-and-after state for every system write.

Risks and mitigations

A partial multi-system execution can leave records in conflicting states.

Use idempotency keys, checkpoints, and explicit compensation for every write step.

Sources and evidence