Industries
AI answering service and back-office agents for contractors and industrial automation firms
The phone rings while your tech is under a house. It goes to voicemail. The customer calls the next name on the list. We build an AI answering service that answers, qualifies, and books the job straight into ServiceTitan, Jobber, or Housecall Pro, and the back-office agents that turn the estimate into an invoice without a week in between.
If this sounds like your shop, you're in the right place
Calls you never hear about, because nobody could pick up and the voicemail went unheard until the next morning. After-hours emergencies routed to a personal cell. An estimate approved on a Tuesday that becomes an invoice the following week because it passed through three people and two systems. Photos in CompanyCam, hours in the FSM, receipts in Ramp, payroll in Gusto, and a bookkeeper reconciling all four by hand at month end.
For industrial firms, the same shape with different names: quotes built from drawings by the one engineer who knows how, project status that lives in five heads, and a team using six different AI tools with no rules about what goes into them.
None of this is a talent problem. It is work that software should be doing inside the tools you already pay for.
AI answering service wired into dispatch
A cheap AI receptionist app answers the phone and takes a message. That is where most of them stop, and a message is only slightly better than voicemail.
Ours is wired into your dispatch. It answers every call, asks the questions your dispatcher would ask, checks the customer against your FSM, and books the job into the right slot for the right trade and zone. It knows which calls are emergencies and transfers those to a person, on the schedule you set. It sends the confirmation text. Everything it does is logged in your system, not in a separate inbox.
What it handles on its own. New service requests, with the address, the problem, and the preferred window captured and the job created. Existing customers, recognized by phone number, with their history in front of the agent. Questions about hours, service area, and pricing ranges you have approved. Confirmations and reminders by text. Rescheduling.
What it hands to a person. Emergencies, on your definition, transferred to the on-call number. Commercial and multi-site inquiries. Complaints. Anything it is not confident about, which it logs with a transcript so the person picks up where it left off.
What it costs you to run. A fixed monthly amount, not a per-call fee, so the incentive is to answer every call. The recovered-revenue line is usually the largest number in a service contractor's assessment.
Systems: your phone system, ServiceTitan, Jobber, or Housecall Pro, your calendar. P&L line: the jobs you book from calls you used to miss, and the front-desk hours you get back.
Industrial automation, panel shops, and data centers
An industrial automation firm we work with builds control panels and does design work for data centers. Their bottleneck was not the shop floor. It was quoting from drawings, knowing where every project stood, and the institutional knowledge in their engineers' heads.
What we build for firms like that: quoting agents that read the drawing package and the bill of materials and draft the quote for an engineer to check; project status roll-ups that pull from the PM tool, the ERP, and email into one page for the owner; capture of PLC and engineering know-how into a searchable, permissioned knowledge base; and governance across the AI tools engineers already use, so nobody pastes a customer's drawings into a public chatbot. P&L line: quote turnaround and win rate, engineer hours, the project nobody noticed was late.
The governance piece deserves a sentence on its own. Engineers will use AI tools whether or not the firm has a policy, and the useful ones are useful. The risk is a customer's drawing package or a proprietary control scheme pasted into a public model. The fix is not a ban. It is an approved set of tools with the right data terms, a short written rule about what goes where, and logging, so the firm can say yes to the tools and still answer a customer who asks where their drawings went.
The rest of the back office
Estimate-to-invoice. The approved estimate becomes the job, the completed job becomes the invoice, the invoice lands in QuickBooks, and the customer gets it the same day. Systems: FSM, QuickBooks. P&L line: days-to-invoice, cash.
AR follow-up. Reminders on the schedule your office manager would use, escalation to a person at your threshold. Systems: QuickBooks, email, text. P&L line: DSO.
The four-way reconciliation. A Houston security and IT contractor ran jobs in Jobber, photos in CompanyCam, spend in Ramp, payroll in Gusto, and books in QuickBooks. We connected them so job costs, receipts, and hours land where they belong without a person copying. P&L line: bookkeeper hours, job-cost accuracy.
The weekly owner report. Booked revenue, completed revenue, margin by trade, AR aging, tech utilization, callbacks. One page, Monday morning. P&L line: decisions made a week earlier.
Driver and tech document capture. Licenses, certifications, insurance, and onboarding documents collected and filed, with alerts before anything expires. P&L line: compliance labor, the job you cannot staff because a cert lapsed.
Human review stays on anything that touches money or reaches a customer with a problem in it, until the agent has run in parallel long enough to earn your trust.
How a build runs at a contractor
The receptionist is a good example. Week one, we connect to your phone system and your FSM and build the agent against your real call flow: the questions your dispatcher asks, the zones and trades you cover, the slots you will let it book. Week two, it runs in shadow: it listens to real calls alongside your office and drafts what it would have done, and we compare. Then it takes the overflow and after-hours calls first, with every booking reviewed the next morning. Then it takes everything, with a person on the transfers.
Nothing is switched off until the office manager says so. The same pattern applies to estimate-to-invoice, to the reconciliation, and to the owner report: shadow, parallel, production, with the numbers matched before the manual process stops.
Systems we work inside
ServiceTitan, Jobber, Housecall Pro, FieldEdge. QuickBooks Online and Desktop. Gusto, ADP. Ramp. CompanyCam. Procore. Microsoft 365 and Google Workspace. Your phone system, whichever one it is. If it has an API we use it; if it does not, we work from exports and tell you what that limits.
How we decide what to build first
A two-day AI Readiness Assessment at your shop. Day one, we ride along with dispatch, the office, and the field. Day two, we score every candidate on P&L impact and risk and hand you a ranked backlog you keep. Then we build the top item in two weeks. If it misses the mark, you don't pay for the build.
From $10,000, credited in full against your first workstream. Book your assessment · See pricing
What it costs
- AI Readiness Assessment: from $10,000, credited against the first workstream.
- Build workstreams: fixed fee, $10,000–$70,000 each, quoted before work starts.
- Managed AI: from $600 per month, with priority-one response in four business hours on the Managed plan.
Prices verified September 2026. Full pricing →
Why Vorsa Logic
Business goals first. Every agent has a P&L line before it has a design. The receptionist is ranked by booked jobs, not by how human it sounds.
Built into what you already run. Your FSM stays the system of record. Nothing lives in a separate app your dispatcher has to check.
Yours to keep, ours to run. You own the code and accounts. We carry the pager.
Founder-built by Jonathan Klein and Chip Ray, based in Houston. Insured: cyber liability, technology E&O, and general liability.
What happens after go-live
Phone systems, FSMs, and accounting tools change their APIs. Our managed plan monitors every agent, fixes it when a vendor changes something, and includes engineering hours each month. How managed AI works →
Frequently asked questions
A live service costs per call and takes a message. Our AI answers every call at once, books into your dispatch board, and costs a fixed monthly amount. Where a person is better, an upset customer, an emergency, a complex commercial job, it transfers to one. Many contractors keep a live service for overflow and let the AI handle booking.
ServiceTitan, Jobber, Housecall Pro, and FieldEdge, yes. Others with an API, usually. If yours has no API, we tell you what that limits before you commit.
It is built as a workstream, fixed fee, quoted before work starts, and usually at the lower end of our $10,000 to $70,000 band. The assessment that scopes it starts at $10,000 and is credited against the build. Managed plans run $600 to $2,200 a month.
It identifies itself as an assistant when asked and never pretends to be a person. In practice customers care that the call was answered and the job was booked.
You define what counts as an emergency and who gets the call. The AI qualifies, transfers to the on-call person, and logs the job. Nothing waits for morning.
We help you write the rules: what data can go where, which tools are approved, and how usage is logged. For industrial and engineering firms handling customer drawings, that governance is usually the first workstream.
How many calls went to voicemail this week?
Book a two-day assessment. You get a ranked list of what is worth automating in your shop, scored by P&L impact and risk, and we build the top one in two weeks.