The schedule is the only source of truth—until it changes
Customer updates, crew availability, scope changes, and urgent work create a second system of texts and calls.
Practical guide · AI dispatch workflows
AI-assisted dispatch is not a promise to automate every scheduling decision. It is a way to organize intake, prepare context, coordinate routine changes, and escalate the exceptions that require a person who understands the operation.
What creates the drag
Customer updates, crew availability, scope changes, and urgent work create a second system of texts and calls.
Information is copied between intake, CRM, job records, technician notes, and customer communications.
The team knows a job is at risk, but not who has authority to change the promise, priority, or assignment.
A responsible implementation pattern
Set the required customer, site, service, timing, and technician-context information before a job is considered ready.
Use rules to prepare messages, status changes, and reminders; route scheduling tradeoffs, commitments, and unusual conditions to an owner.
Ensure late information, missing approvals, conflicts, and priority changes can be inspected and resolved deliberately.
Questions teams ask
It is a governed workflow that can organize incoming job information, prepare dispatch context, coordinate repeatable updates, and surface exceptions for human review.
That depends on the operating rules and risk tolerance. STRYQ recommends explicit approval boundaries for decisions that affect customer commitments, safety, priority, or margin.
Map the current intake sources, scheduling system, technician constraints, job requirements, change events, owners, and escalation rules.