Skip to main content
AI for Home Services

AI for home services, deployed against the KPIs that run the business.

Architech has redesigned customer engagement and back-office workflows for national home services operators. Every redesign is measured against operational KPIs - cycle time, first-time-fix rate, cost per service call - not model behaviour.

Where redesign lands

The operational workflows Architech redesigns for home services and field operations.

Customer engagement and intake

AI-driven classification, routing, and pre-population of customer intake so agents spend time on discretion, not lookup. First-touch resolution rises without sacrificing service quality.

Dispatch and scheduling workflows

Agentic exception handling and scheduling decisions integrated inside your existing dispatch systems. Human oversight retained on discretionary calls.

Knowledge retrieval for frontline staff

Retrieval-augmented workflows grounded in your service catalogue, procedures, and pricing data. Consistent, cited answers at the point of customer contact.

Back-office and billing workflows

Structured extraction, reconciliation, and evidence-grounded synthesis across back-office documents. Cycle time compressed; audit traceability preserved.

Why Architech

What operators in home services and field operations get from working with us.

Named national home services experience

Architech has redesigned production workflows for national home services operators. Named case study; live in production at operator scale.

Integrated with your existing dispatch stack

Workflows run alongside your existing dispatch, CRM, and billing systems - through supported APIs and event streams. Frontline staff keep the systems they already know.

Measured against operational KPIs

Outcome Assurance ties workflow performance to cycle time, first-time-fix rate, and cost per service - not to model scores. If the KPI does not move, the workflow is not done.

Frequently asked

What home services and field operations leaders ask before starting.

How does Architech integrate with our existing dispatch and CRM systems?
Workflows integrate through your platform's supported APIs and event streams. Architech does not replace your dispatch or CRM - the AI layer runs alongside. The AI Foundations Sprint documents the integration pattern before workflow build begins.
Can AI workflows run in high-volume, multi-shift customer operations?
Yes. Production rollouts are staged behind human-in-the-loop gates, with regression checks in CI/CD and production. Golden Datasets built with your operations team catch drift before it shows up in the service KPI.
How long does it take to see operational impact?
The first Proof of Value in production typically ships in 5 to 7 weeks - two to three weeks of AI Jumpstart or Sprint work, then three to four weeks of build. Impact against the KPI is measured from Day 1 of production.

Next step

Redesign the home services and field operations workflow that matters most.

The AI Jumpstart is the disciplined entry point. Two to three weeks. Executive-led. Paid. Produces a scored workflow shortlist, an economic evaluation, and a defined Proof of Value scope with a clear go or no-go decision.