Pick the first AI workflow by leak, not by tool.
FieldLayer’s Starter Kit should help a home-service owner choose the safest first install. The rule is simple: start where money or trust leaks, keep the queue visible, and require human approval before anything reaches a customer.
First-workflow picker
This is the decision layer before prompts, automations, or software choices.
| Leak | Best first workflow | AI drafts or flags | Human approval rule | Why this first |
|---|---|---|---|---|
| New leads are messy | Lead intake summary | Customer need, address, urgency, missing details, suggested next question | Owner or coordinator approves the reply or call-back note | Fast to test and close to revenue without changing pricing decisions. |
| Estimates stall | Estimate approval queue | Known facts, missing inputs, assumption notes, customer question | Owner approves all pricing, scope, and customer-facing messages | Shows immediate bottlenecks while protecting judgment. |
| Warm deals go quiet | Stale follow-up sweep | Stale opportunities, context recap, next-step draft | Human chooses whether and when to send | Recovers attention without pretending AI can read the relationship. |
| Sold jobs drift | Schedule handoff check | Sold-but-unscheduled work, missing dates, capacity conflicts | Dispatcher/owner confirms the schedule move | Keeps operations honest after the sale. |
| Reviews get missed | Review request loop | Eligible completed jobs, review ask draft, status | Human confirms the customer is happy before asking | Simple and trust-sensitive; good test of approval discipline. |
Choose the first workflow that is visible and reversible.
Do not install six workflows on day one.
The $29 Starter Kit is a first-install product. The win is not a giant automation map. The win is one leak named, one queue visible, one approval rule written, and one correction captured so the next draft gets safer.
“AI runs my front office”
Too vague, too risky, and too hard to prove.
“AI drafts the queue”
Useful, specific, and reviewable.
Corrections and stalls
The first learning loop is what humans change, reject, or approve.
What this proves
FieldLayer is staying audience-first and proof-led: show the decision system, explain the product clearly, publish constraints, and let operator reactions shape the next move.