Every case study is a side-by-side measurement: 90 days before deployment vs. 90 days after. Customer details are anonymised; metrics are not.
A 14-tech Midwest roofing shop was losing an estimated 40% of inbound leads during overnight and weekend storm events. Within 60 days of deploying the AI Employee on missed-call text-back and web chat, captured leads from after-hours channels rose 4.1x.
Read case study →During heatwave events, this Sunbelt HVAC shop's CSR team was hitting capacity within an hour. Anything that came in after that went to voicemail and was lost. The AI Employee absorbed overflow, triaged emergency vs. maintenance, and routed bookings to dispatch in real time.
Read case study →Solar's biggest leak isn't customer-facing — it's sales-rep hours spent qualifying tire-kickers. By moving roof-age, utility-bill, and ownership qualification upstream into the AI Employee, this Pacific installer redirected SDR capacity to closed-deal work.
Read case study →Note: All case studies are based on real deployments. Customer identifiers are anonymised at the request of the operators; performance metrics are reported directly from CRM, calendar, and call-tracking data.
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