Field service dispatch recovery
Re-plan disrupted field visits within skills, SLA, travel, and customer constraints.
What this workflow does
Re-plan disrupted field visits within skills, SLA, travel, and customer constraints. It validates identity and permissions, simulates the bounded action, and executes only the approved change with verification and rollback evidence.
What you gain
Dispatcher-approved schedule and customer notifications
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 replans a changing schedule across technician skills, parts, travel time, service levels, and customer windows.
Agent trigger
A technician cancels, a job overruns, or an urgent case enters the queue.
Inputs
- Process context: jobs, skills, location, SLA, parts, shifts, and customer windows
- 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 constraint-valid recovery schedule 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 constraint-valid recovery schedule.
Outcome
- Dispatcher-approved schedule and customer notifications
- 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.
Salesforce
Engine builds agentic customer service
Engine uses an agentic service workflow to answer and route customer requests while retaining escalation paths.
Michel Lieben on X
Enterprise agent workflow example
A practitioner example illustrates guarded enterprise automation rather than a standalone chat experience.