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.
Texas 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.
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.
Calls and web leads come in nights and weekends. Every missed message is paid traffic that never gets a fair shot at booking.
CSRs re-ask basics, dispatch gets messy notes, and staff burn hours on payments and follow-up that an agent could handle.
Years of calls, reviews, and lead-source history hold the answers to why you win and lose — but nobody has time to look.
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.
Web form, LSA message, SMS, or call transcript hits your intake workflow.
The agent classifies intent, urgency, and trade — then gathers missing job details.
Your CSR or dispatcher gets a structured summary ready to book, follow up, or escalate.
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.
Sits on top of ServiceTitan, Housecall Pro, Jobber, and the phone system you already run.
Refunds, billing, cancellations, and complaints always route to your team — never handled autonomously.
Graph-based agent workflows with auditable routing, safety gates, and observability from day one — not a prototype you hope holds up.
Who you work with
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.
Low-risk entry point. You get a ranked, ROI-backed shortlist of plays and a scoped pilot path — not a vague AI roadmap.
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.
One play, one workflow, one integration, one channel. Prove ROI on a single high-value use case before you expand.
Expand to more plays, channels, and branches — then keep them tuned with monitoring, evals, and monthly KPI review on a retainer.
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.