Inside a Bohaus Sprint: A Pest Control Company

The situation

The client is an owner-led pest control company running quarterly general pest, termite, mosquito and rodent programs. Six route techs, a termite specialist, two office staff and an owner who sells commercial accounts. GorillaDesk runs routing, scheduling and billing. QuickBooks handles accounting. Reviews live on the Google profile, which the owner checks when there is time.

Recurring accounts are the business. Losing one costs far more than one visit. And they are lost quietly: a customer still sees ants after the treatment, calls once, gets a re-service a week later, and cancels at renewal.

The owner has three AI pitches in hand: an AI phone receptionist, a review-generation tool, and a marketing platform promising retention.

What the sprint finds

In Discover and Diagnose, we put each option through six questions.

What specific job will it do? The receptionist answers calls. The review tool asks for reviews. The marketing platform sends campaigns. The workflow map shows the real gap: what happens after a service. Complaints wait. Re-services are slow. Happy customers are never asked for a review. At-risk accounts are invisible until they cancel.

Does it connect to what we already use? The receptionist books into its own calendar. The marketing platform imports a customer list once and drifts. Only an option built on GorillaDesk sees service history and schedules.

What does it need? Clean service records and contact details. The map shows notes are inconsistent across techs; some cleanup is needed regardless.

Where does customer data go? One vendor cannot clearly say whether data trains its models. That option drops.

Who will own it? The office lead.

How will we know it worked? Re-service turnaround, reviews requested and received, and cancellations at renewal, measured before and after.

What it builds

In Build, we create a retention flow inside GorillaDesk.

After each service, the customer gets a short message: how did it go? A problem reply creates a re-service request on the route schedule and alerts the office. A good reply gets a request for a Google review. Customers with repeated complaints or a skipped visit are flagged as at risk, and the office lead gets a task to call before renewal. Techs see open complaints on their route before they arrive.

We test on real accounts before go-live: actual complaint histories, multi-property commercial accounts, and seasonal mosquito customers who should not get a winter message.

Hand over

In Hand over, both office staff learn the flow and the at-risk queue. Techs get a short session on clean service notes, since the follow-up depends on them. The playbook covers message wording, the re-service rules and who owns the system. The roadmap notes the receptionist and marketing tools as candidates to revisit with the same questions later.

What changes

Complaints become re-services quickly instead of cancellations later. Happy customers are asked for reviews while the service is fresh, and the Google profile reflects the work. The office calls at-risk accounts before renewal instead of hearing about them after. The owner has evidence, not a demo, behind the decision.

What this means for your business

Ask what job the tool will do, what it connects to, what it needs, where data goes, who owns it and how you will know it worked. Then test it on your own messy records.

A pest control company applies this to retention. An auto shop applies it to declined-work follow-up. A plumber applies it to answering services. The questions do not change.

The Discover and Diagnose phases of a Bohaus Sprint ask them before anything is built. Six weeks, fixed scope, one live system, and a team trained to run it.