Intake and booking
The call arrives sorted: the customer's history, address, and likely job type are on the agent's screen before they say hello. The agent confirms and books instead of typing.
AI built into the work that runs home services - dispatch, first-time fix, cost per call.
For national service operators. Measured on first-time fix and cost per call.
A storm hits and the phones stack up. A truck rolls to the wrong job and the tech leaves without the part. Billing waits on paperwork nobody has read. We rebuild intake, dispatch, and billing around that day.
Architech has always been a partner and an extension of the Roto-Rooter team. They are passionate about their work and strive to produce the best end result, and on time.
What does a service day cost you in intake, dispatch, and billing?
Dispatch and scheduling
AI works the day's exceptions inside your dispatch system: the cancelled job, the tech running late, the part that is not on the truck. Your dispatcher makes the call that needs a person.
Back office and billing
AI reads the job paperwork, pulls out what matters, and checks it against your records. Billing stops waiting on a stack nobody has opened.
Home Services and Field Operations work that is running today.
Why it holds up in home services and field operations.
Built for peak days, not average days
National service operators live on the storm, the heat wave, the first cold snap. The workflows we rebuild are sized and tested for the surge, not demonstrated on a quiet Tuesday.
First-time fix is the whole economics
The cost of getting it wrong in home services is a second truck roll: the wrong part, the job described wrong on the phone. That is the number the redesign is aimed at.
Whatever the sector, the delivery model is the same.
It runs in your systems, not ours
The code lives in your repository and your cloud, whether that is Azure, Google Cloud, or AWS, behind your own access controls. There is no Architech platform to lock into.
Controls built into the workflow
A person signs off where it matters, access is scoped by role, and every action is traceable. The AI Foundations Blueprint proves how AI reaches your data before any build begins, so your security lead sees the pattern before code is written.
Measured against your KPI, on a clock
Outcome Assurance ties the system to the business metric the workflow was built to move, not to model scores. From the start of a Transformation Blueprint, the first workflow is typically live in 5 to 7 weeks. If the KPI does not move, the workflow is not done.
What home services and field operations leaders ask before starting.
- Our volume triples in a storm. Does the AI hold?
- It is built for the surge. We turn it on in stages, and each stage is re-checked against real calls from your own peak days.
- We run many markets on one dispatch system. Do you roll out everywhere at once?
- No. The first market proves the workflow and the number, with your own dispatchers in the room. The others get the same build, tuned to their job mix.
- Do our techs have to change how they work in the field?
- Only where the redesign helps them: the right job, the right part, the right customer notes before they arrive. The judgment on site stays theirs.
Free · About 2 minutes
What is the status quo costing you?
Pick the workflow that matters most and set the sliders to how the work runs. Every figure is built from your own numbers, not our projections.
No savings promises. A structural read on how much of one workflow's annual cost sits in the steps AI typically touches.
Open the cost calculator
Built entirely from your own numbers. The diagnostic later opens pre-filled with what you set here, so nothing is asked twice.
What you get
- A dollar figure for what one workflow costs to run for a year, at your settings
- The cost of waiting, projected over the months until you act
- The share of that cost sitting in the steps AI typically touches: sorting, routing, looking things up, and drafting
- A one-page summary you can download and forward to a CFO or CEO
- A direct hand-off into the diagnostic, pre-filled with what you set
Tell us what's slowing your operation down.
Name the part that costs too much or takes too long. We come back with where AI can move the number and how an AI Jumpstart would scope it.
For Home Services operations.
Prefer to talk to an engineer first?
Talk to an AI EngineerRedesign the home services and field operations workflow that matters most.
Three weeks, executive-led, paid. The AI Jumpstart ends with the two or three places AI would pay for itself, what each is worth, and a clear go or no-go. If one moves into a Transformation Blueprint, the Acceptance Guarantee applies: criteria agreed in Week 1, no fee if the Blueprint's outcomes are not accepted.
