Contractor automation that keeps leads, crews, and cash moving.

Yes. If you’re already on a contractor platform, I don’t fight it—I connect to it. Typical builds sync leads, customer records, job updates, and invoices between your field app, your CRM (Zoho, GoHighLevel, or your current system), and accounting (QuickBooks, Xero). The goal is one source of truth, with automation doing the handoffs your team currently does by memory.

Most of the time, we fix what you already have first. Contractors usually don’t have a “tool problem”—they have a workflow and data hygiene problem. If your current CRM can support clean stages, required fields, ownership rules, and automations, we rebuild it and keep your team stable. We only recommend switching when the current system blocks basic enforcement or reporting.

Missed-call + fast-response automation. In 2026, speed is the advantage: ad leads are expensive, and shoppers call 3–5 contractors. We set up a predictable loop: every inbound call/form/text gets logged, assigned, and responded to with the next step (estimate booking, job-type questions, or a dispatcher handoff). This alone stops revenue bleed from “we’ll call them back later.”

Yes—by turning follow-up into a system, not a personality trait. We standardize estimate stages (New → Contacted → Scheduled → Quoted → Won/Lost), enforce required fields (trade, zip, budget, timeframe), and automate reminders (SMS/email) tied to real events. You get visibility on which estimates are stuck, why they’re stuck, and what the next action is—without chasing your team for updates.

We map your real dispatch flow: who books, who confirms, who assigns crews, and what “done” means. Then we automate the handoffs: job booked → crew notified → checklist sent → photos captured → completion triggers invoicing and review requests. Field updates can come from mobile forms or your contractor platform, so office staff stop retyping job notes and hunting for photos.

AI is not the foundation. Clean data is the foundation. Where AI helps: summarizing calls into structured job notes, extracting details from PDFs/photos (permits, scope, invoices), tagging lead intent, and spotting missing information before an estimate is sent. Everything runs with human-in-the-loop checks, clear logs, and rollback paths. If AI can’t be audited, it doesn’t ship.

We enforce rules at the system level: dedupe logic, required fields, controlled stage changes, and clear ownership. Then we build guardrails—like “can’t move to Quoted without scope + price + follow-up date.” If your team can break reporting with one bad note, the system is too loose. Clean data is what makes dashboards honest and automations safe.

You own everything. Access is least-privilege, scoped, and documented. If we self-host (common with n8n), it’s deployed into your environment with your keys. If we use managed tools, credentials are stored in your accounts, not mine. Every build ships with an admin handoff checklist, documentation, and a short training session so you’re never locked in.

A focused “pipeline + follow-up” rebuild can ship in 2–4 weeks. Full rebuilds (CRM + dispatch handoffs + invoicing + dashboards) typically run 30–60 days depending on stack complexity and how much data cleanup is needed. Budget is tied to scope and risk, not “hours.” The audit is where we define a tight plan, confirm ROI, and decide if it’s worth doing now.

Launch is not the finish line—it’s the point where your team starts trusting the system. You get documentation, a walkthrough, and a simple operating rhythm (weekly KPI review + small improvements). If you want, we can stay on a light retainer for maintenance and upgrades. If you don’t, you still have the map, the keys, and a system your team can run.