Sitka
Answer rate: 61% to 94.3%
A US home-services company (11 branches, roughly 19,000 inbound calls a month) put voice AI on its phones: it captures the caller's intent, qualifies the job, books into the field service platform, and transfers emergencies, in English and Spanish. The rollout took nine weeks for the first branch and five months for all eleven.
How it wentPer Sitka's case study: answer rate rose from 61% to 94.3%, missed calls fell from 7,400 to 1,080 a month, 71% of calls were handled fully by the AI, and the firm booked $3.1M in new revenue in year one against $412K in program cost. The client is anonymized and the figures are the vendor's.
Try it · based on the source's workflow
You answer inbound calls for [home services company] around the clock. Identify the service needed and the caller's address, check live technician availability, and book the visit into [booking platform]. For emergencies ([your emergency definitions]), transfer to the on-call line immediately. Before ending, confirm the appointment time and address with the caller. Log every call with its outcome for review.
A starting template based on the workflow the source describes. Review it before you use it; you are responsible for what it does.