The situation before we started
The first three weeks of spring are existential for a lawn-care business — every customer wakes up at once, every neighbor's lawn is suddenly visible, and the inquiries flood in. Historically the firm hired two temporary admin staff for an 8-week window just to catch the booking volume. That hiring loop alone consumed 20+ hours of the founder's time, and the temporary staff were typically only fully effective by week 4.
What we built
A booking agent designed specifically for the seasonal surge pattern:
- Voice agent answers calls during business hours when the main team is already on the phone, after-hours during the surge
- Qualification flow asks about lawn size, current service, problem areas — extracting the data Jobber needs for a recurring estimate
- Plan recommendation the agent suggests a plan tier based on the answers (basic / standard / premium) with the standing price grid
- Booking customers can lock in a start date directly from the call, with a calendar invite emailed before they hang up
- Stripe link sent via SMS to capture the deposit
- Edge cases routed: HOA contracts, commercial properties, anything outside the standard residential pricing grid goes to the office
The system also handles the inbound surge from the firm's website lead form — leads get an SMS within 60 seconds rather than waiting for someone to call back from a list.
What happened
The spring surge came in on schedule. The agent handled 78% of new inquiries to completion without any office involvement. Of the 22% that did need the office, every one came with a clean handoff: customer name, address, plan they were considering, and a one-line summary of why the agent escalated.
- Recurring plans sold up 34% vs. the prior spring, primarily because the agent could engage with every lead within 60 seconds rather than letting them go to voicemail
- Two temporary admin hires avoided, saving roughly $14K and the management overhead
- The founder slept normal hours through March for the first time in eight years
A note on the recurring-revenue angle
The most interesting outcome was that the agent's plan-recommendation flow nudged more customers into the standard or premium tier than the firm's existing humans did. The agent doesn't get tired, doesn't undersell, and doesn't get worn down by long days. The founder said it surfaced a quiet pattern they'd been missing: their team had been defaulting to the cheapest plan because that's what most customers asked about first, even when the customer's lawn was actually better served by a higher tier.