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HR & peopleOrchestrate multiple stepsTeam

Promotion and employee-change workflow

Validate policy, budget, approvals, and downstream changes before an employee action.

What this workflow does

Validate policy, budget, approvals, and downstream changes before an employee action. It coordinates dependencies across connected systems, pauses at exception boundaries, and records the state of every approved sub-step.

What you gain

Approved effective-dated employee change

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

A manager submits a promotion, transfer, or compensation change.

Inputs

  • Process context: employee record, compensation bands, budget, policy, and approvals
  • 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 compliant change package and exception route 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 compliant change package and exception route.

Outcome

  • Approved effective-dated employee change
  • 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