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Specialist support swarm

Assemble billing, technical, and policy evidence before escalating one complex case.

What this workflow does

Assemble billing, technical, and policy evidence before escalating one complex case. It coordinates dependencies across connected systems, pauses at exception boundaries, and records the state of every approved sub-step.

What you gain

Unified escalation packet

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 case breaches complexity, sentiment, or retry thresholds.

Inputs

  • Process context: case history and specialist system evidence
  • 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 specialist-backed resolution for senior review 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 specialist-backed resolution for senior review.

Outcome

  • Unified escalation packet
  • 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