Sold work should not disappear between yes and the calendar.
For home-service owners, scheduling is a trust leak. A customer says yes, but the deposit, crew capacity, material timing, and calendar slot can live in different places. FieldLayer turns that handoff into an owner-approved commitment loop.
What usually breaks
The estimate is accepted, but the job is not fully scheduled. The owner remembers it, the office thinks it is waiting on a deposit, and the crew calendar is filling up. The customer hears silence after saying yes.
What FieldLayer installs first
AI flags the accepted-but-unscheduled job, drafts the scheduling options, and summarizes the constraint. The owner or office manager approves the customer message and the calendar hold before anything is promised.
- AI watches for accepted estimates without a scheduled job.
- AI drafts two start-window options and a deposit/reminder note.
- Human approves the promise before the customer sees it.
- Outcome is logged as scheduled, waiting, conflict, or follow-up.
Install map
Catch the commitment gap
Pull accepted estimates, deposits, crew availability, and open calendar slots into one owner-visible queue.
Draft the scheduling move
AI prepares a short customer update with available windows, missing inputs, and the next action needed to hold the slot.
Check capacity before promising
The human verifies crew fit, travel, materials, and timing. AI does not promise dates by itself.
Approve and log the decision
The owner approves, edits, or rejects the draft. The job becomes scheduled, waiting on customer, conflict, or follow-up later.
Capture the correction
If the owner changes the timing rule or message, FieldLayer records it so the next scheduling draft is safer.
Why this is a Starter Kit workflow
Scheduling is close to revenue, but it is risky to automate blindly. The practical first install is a visibility and approval layer: find sold work without a calendar commitment, draft the next move, and keep the human in control of what gets promised.