Customer Intake Automation for Field Service

Customer intake is where many field service companies leak money. Not because the calls don't come in — they do — but because too many of them go to voicemail, get mis-qualified, or end with the customer saying "I'll think about it" and disappearing.

How Keres AI handles it: Remi, Keres AI’s AI receptionist, answers intake calls in two rings, 24/7, asks the qualifying questions you set, books into Google Calendar, HubSpot or ServiceTitan, and texts back missed callers within 60 seconds.

This guide walks through how modern intake automation works, what to automate first, and the specific metrics you should track after deploying it.

01Why intake is the highest-ROI automation

Three reasons:

• A missed call is often a lost customer. Keres AI’s working assumption is that most callers who reach voicemail do not leave a message; if nobody picks up, they call the next business on their list.
• Manual qualification is slow and inconsistent. Your best intake rep asks better questions than your average one. Automation levels the floor.
• 24/7 coverage matters. Roofing emergencies happen at 2 AM. Septic backups happen on Sunday. If you can't capture those calls, you're not competing.

02What a good intake agent actually does

A well-designed AI intake agent isn't a chatbot. It's a structured conversation with three jobs:

• Qualify. Asks 3–5 questions that determine whether this is a fit (service area, type of work, urgency, budget range).
• Book. If qualified, offers available slots based on your live calendar and crew availability.
• Escalate. If the lead doesn't fit or the situation is unusual, hands off to a human with full context.

03The qualifying questions that matter

The best intake qualification isn't a long questionnaire. It's 3–5 sharp questions that eliminate the wrong-fit calls and capture the right-fit ones. Examples by industry:

Septic

• When was the last service? (filters maintenance vs emergency)
• Is the tank accessible? (flags access issues early)
• Is it actively backing up? (urgency classification)

Roofing

• Is the roof currently leaking? (urgency)
• Approximate home square footage? (rough scoping)
• Is insurance involved? (sales handling)

HVAC

• What's happening — no heat/cooling or intermittent? (urgency)
• How old is the system? (repair vs replace signal)
• Do you have a service agreement with us? (priority)

04Integration with your calendar

An intake agent that can't actually book is just a survey. The whole point is that the conversation ends with a confirmed appointment on your schedule.

The integration isn't complicated — most modern scheduling systems (ServiceTitan, Housecall Pro, Jobber, etc.) have APIs. But the rules around availability (crew capacity, service areas, travel time) need to be right. That is where deployments often go wrong: they skip the rules and double-book. Remi by Keres AI books into ServiceTitan, Google Calendar and HubSpot today; Jobber and Housecall Pro are rolling out.

05Measuring success

After deploying an intake agent, track these every month:

• Capture rate. % of inbound calls that end with a booked appointment or scheduled callback. Measure it for a month before automating so you have your own baseline, then watch it after.
• After-hours conversion. Calls outside business hours that convert to booked jobs. Compare it with your business-hours rate.
• Dispatcher time recovered. Hours per week your dispatcher isn't on routine intake calls. Measure it before and after.
• Mis-qualification rate. % of booked jobs that turn out not to be a fit. Track it monthly and tighten the qualifying questions when it rises.

Where Keres AI fits

Keres AI’s AI intake receptionist, Remi, asks your intake questions on every call and books into Google Calendar, HubSpot or ServiceTitan. More on lead qualification and after-hours coverage.