Criterix

Texas home services

AI & data systems, built for home services.

Criterix builds agentic and data systems for Texas home-service companies — from speed-to-lead intake to lead operations, back-office follow-up, and insights pulled from your own calls and reviews. On top of ServiceTitan, Housecall Pro, or Jobber, not instead of them.

Every system is built for production — auditable routing, human gates, and real deployments. The demo on the right hits a live intake agent, one play from the menu.

Live intake demo · one play from the menu

Sample leads invoke the deployed speed-to-lead workflow when live credentials are configured.

Pick a scenario below. Each click sends that lead to our production-shaped intake agent and returns a freshly generated reply.

First response may take 3–8 seconds while the agent cold-starts.

Sample leads are fixed for safety. Agent replies are generated live on each click — mock CRM tools only, no real bookings or customer data.

The money leaks after the marketing works.

Most operators do not need more traffic first. They lose revenue in how leads are handled, how much office labor gets burned, and in the data they never get to use.

Leads slip after they arrive

Calls and web leads come in nights and weekends. Every missed message is paid traffic that never gets a fair shot at booking.

Office labor eats the margin

CSRs re-ask basics, dispatch gets messy notes, and staff burn hours on payments and follow-up that an agent could handle.

Your data just sits there

Years of calls, reviews, and lead-source history hold the answers to why you win and lose — but nobody has time to look.

How a play works

Every play follows the same production-shaped pattern — a layer on top of your existing stack, not a rip-and-replace project. Here it is on the speed-to-lead intake play.

01

Lead comes in

Web form, LSA message, SMS, or call transcript hits your intake workflow.

02

Qualify and collect

The agent classifies intent, urgency, and trade — then gathers missing job details.

03

Clean handoff

Your CSR or dispatcher gets a structured summary ready to book, follow up, or escalate.

Not a chatbot. An implementation firm.

I am not here to replace your people or sell a toy. The goal is production-grade systems that remove real work and route anything risky back to your team.

Works with your stack

Sits on top of ServiceTitan, Housecall Pro, Jobber, and the phone system you already run.

Human gates where it matters

Refunds, billing, cancellations, and complaints always route to your team — never handled autonomously.

Built for production

Graph-based agent workflows with auditable routing, safety gates, and observability from day one — not a prototype you hope holds up.

SMFounder
  • Production AI and agent systems at scale
  • Large-scale LLM inference and insight pipelines
  • Texas-based; home services only

Who you work with

Production AI, built for your industry.

I’m Sean Miller, based in Texas, focused exclusively on home services. My background is in production AI integration: agent systems and LLM pipelines built to run reliably at scale. Criterix is where that engineering shows up for Texas home-service operators.

Start with the audit

Low-risk entry point. You get a ranked, ROI-backed shortlist of plays and a scoped pilot path — not a vague AI roadmap.

Best starting point

AI Opportunity Audit

A short paid diagnostic across your whole operation — intake, follow-up, back office, and the data you already sit on. You get a findings memo, an ROI model, and a ranked shortlist of plays worth piloting first.

Pilot implementation

One play, one workflow, one integration, one channel. Prove ROI on a single high-value use case before you expand.

Rollout & managed operations

Expand to more plays, channels, and branches — then keep them tuned with monitoring, evals, and monthly KPI review on a retainer.

Request an AI Opportunity Audit

Tell me where your operation feels slow, manual, or messy — lead handling, back office, or data you’ve never had time to use. I’ll show you where an agent or data workflow would actually pay off.

  • Intake, follow-up, and back-office workflow review
  • A look at the call, review, and lead-source data you already have
  • A ranked shortlist of plays — not a generic AI pitch