Suggestions, not surprise dispatches
The AI suggests a tech and a slot and says why. Your dispatcher confirms or changes it. Emergencies follow your rules and always reach a person on call.
AI that connects your phone and website to the field service software you already run. Calls and forms become jobs, the right tech is suggested with notes from past visits, customers get on-the-way texts, and finished work becomes an invoice draft for you to approve.
Free · 20 minutes · You talk to Syed · Scoped before anything is built
How it runs
Field Service Automation Running
Customers and the office stay current
A request comes in
A booked call, a website form, an email or a repeat customer’s text.
The AI builds and routes the job
Job type, address, urgency and history, plus a suggested tech by skills and zone.
Your field service software updates
Client, job, visit and tech brief written into Jobber, Housecall Pro or ServiceTitan.
Customers and the office stay current
On-the-way and running-late texts, then an invoice draft and a review request when the job closes.
A scripted walk-through of a typical field service automation conversation — press play.
Booked call to invoiced job
Call booked by the AI receptionist · Dana Wu · furnace blowing cold air · M4C 1B5 · Thu 8–10 am window
Marcus is right for this one. Assign him and send the brief.
Thu 8:11 am · Marcus tapped “On my way” in the Jobber app · drive time 23 min
Thu 9:52 am · Job #2318 marked complete · hot surface igniter replaced · 1.5 h labour · photos and sign-off captured
Approved. Send the invoice and queue the review text for 4.
Job created and briefed in 35 s. Invoice and review request ready 1 min after the job closed.
Set this up for my businessWe follow one recent job from first call to finished visit and note who types what, and where. Then we write down your dispatch rules — skills, zones, job lengths, who’s on call — so the AI follows them instead of guessing.
We connect to Jobber, Housecall Pro or ServiceTitan through their APIs where your plan includes access, plus your forms, inbox and texting number. Your team keeps working in the app they know.
New requests become jobs with clean addresses and a summary, checked against existing clients. The AI suggests a tech and a slot and shows why; your dispatcher confirms or moves it. The tech gets a brief with equipment, past visits and access notes.
A booking confirmation, an on-the-way text when the tech heads out, and a heads-up if the previous job runs late. When the job closes, an invoice draft waits for your approval and a review request is queued.
Works with the tools you already use
Connected through official APIs where available. Names and logos are trademarks of their owners; no affiliation implied.
The AI suggests a tech and a slot and says why. Your dispatcher confirms or changes it. Emergencies follow your rules and always reach a person on call.
Drafts are built from the job and your price book, and lines that don’t match the quote are flagged. Nothing is sent or posted to QuickBooks until you or your office approves it.
Job updates are transactional and always name your business. Review requests go only to customers with consent, with STOP handling, in line with CASL in Canada and the TCPA in the US. Every customer gets the same ask: no screening, no incentives.
Addresses, gate codes and job history stay in your field service software. Briefs go only to the assigned tech, and we design around PIPEDA in Canada.
Five techs and an office manager who also dispatches. About 25 jobs a week come from calls, the website form and repeat customers, run in Jobber and QuickBooks Online.
About 3–4 hours a week back for the office manager (estimate)
Estimates use typical volumes and include a 20% allowance for overlap and ramp-up. Your audit measures the real numbers.
Most trades businesses don’t lose time on the tools. They lose it in the office, moving the same job from one place to the next. A call becomes a sticky note, the note becomes a job, the job needs a tech, and the customer wants to know when someone is coming. When the work is done, someone retypes it into an invoice.
Each hand-off takes a few minutes. Across 20 or 30 jobs a week, that’s an afternoon. And the gaps show: a tech arrives without knowing the furnace was flagged last fall, or a customer calls twice asking for an arrival time.
The AI moves each job forward the moment something happens. A booked call or web form becomes a job with a summary. The AI suggests the tech who fits — right skills, right zone, open time — and your dispatcher confirms it. The tech gets a short brief. When they tap “on my way”, the customer gets a text. If a job runs long, the next customer hears before they start wondering.
When the job is marked complete, an invoice draft waits for your approval and a review request is queued, the same for every customer.
We don’t replace your field service software. We connect to it through its API where your plan includes one, and your team keeps working in the app they know. We start with the step that costs you the most — usually job entry or customer updates — and add the rest once you’ve seen it run on a few weeks of real jobs.
Every engagement is scoped on a call. You’ll know the cost before anything is built.
Last updated October 7, 2026
Jobber, Housecall Pro and ServiceTitan are the most common. Jobber has a public API; Housecall Pro and ServiceTitan offer API access on certain plans or after an app approval, so we check yours first. Without an API, we use email intake or a connector and tell you what that limits.
Not unless you decide it should. By default it suggests a tech and a slot with the reason — skills, zone, open time — and your dispatcher confirms. Some teams later let routine maintenance book straight into open slots; emergencies always go to a person.
It follows the status your tech already sets in the app. When they tap “on my way”, the customer gets a text from your business number with an arrival estimate. If a job runs past its time, the next customer gets a running-late update.
What the customer said, equipment and model numbers on file, notes and photos from past visits, and access notes like gate codes or pets. It lands in the job notes or as a text, and only the assigned tech sees it.
The AI drafts an invoice from the hours, parts and your price book, and flags anything that doesn’t match the quote. You approve it before it’s sent. A review request is queued at the same time for every customer who agreed to texts.
It depends on job volume, your software and how many steps you automate. We scope it on a short call and give you a fixed build price and a clear monthly running cost before anything is built.
Bring your call volume, your tools and the part that annoys you most. In 20 minutes you’ll know what it would take — and whether it’s worth doing.
Free · 20 minutes · You talk to Syed · Prefer email? muhammad@sadaat.ca