Georgetown, TX · Plumbing
For most Georgetown plumbing companies, that happens 10–15 times a week. Missed calls, dispatch scrambles, follow-ups that never get made. The revenue doesn't disappear all at once — it bleeds out slowly, job by job.
We're JNOW — an AI strategy and implementation firm based in Georgetown. We build AI systems that fix the specific operational gaps that cost plumbing businesses the most. Then we prove it worked with real numbers.
$3,000. 3 days. Not ready to commit? Book a quick intro call first.
Williamson County added over 80,000 residents between 2020 and 2024. Every new house, every subdivision, every commercial build needs plumbing work. The demand is real. The operational systems to capture it often aren't.
A burst pipe at 9pm is a $500–$2,000 emergency job. If your competitor picks up and you don't, that job is gone — and so is the customer relationship. Most plumbing companies in Georgetown are only truly reachable during business hours. That's a gap your competition will fill if you don't.
One tech calls in sick. One job runs three hours long. By noon your dispatcher is on the phone managing customer complaints while techs sit idle and others are double-booked. Manual rescheduling costs 30–45 minutes of staff time every single time it happens — and in a market stretching from Georgetown to Round Rock to Leander, drive time makes it worse.
You finished a water heater install in Sun City last month. You meant to reach back about the annual maintenance check. It didn't happen — because dispatching today's jobs ate all the bandwidth. That customer will call someone else when the issue comes up again.
The math: 10 missed calls a week at an average job value of $400 is $208,000 in annual lost revenue. That's not a staffing problem. That's a systems problem — and it's solvable.
We're not here to sell you an AI chatbot that answers FAQs. The AI systems that move real revenue for plumbing companies do three things:
A voice AI agent picks up in 3 seconds, any time of day or night. It qualifies the job, books the appointment, and hands off to your team with a full summary. No more lost emergency jobs.
When a tech calls in sick or a job runs long, AI surfaces the best rescheduling options instantly — factoring in locations, drive time, job priority, and customer preferences. That 45-minute scramble becomes a 5-minute decision.
After every completed job, an automated sequence checks in at the right intervals and offers maintenance, seasonal services, or recalls — without your staff lifting a finger.
Call handling and dispatch are the highest-ROI starting points — but not the only places AI moves the needle. A few other areas we've seen work well:
The diagnostic will surface which of these — if any — actually fit where you are right now.
We don't do strategy decks. We build systems, then prove they worked.
It starts with the diagnostic — a 90-minute session, no pitch, no deck. We map your operation against the TKE framework: where the jobs come in (Trigger), what information you need to handle them (Knowledge), and what actions are taken (Execution). That mapping tells us exactly where AI will move your numbers and where it won't.
From there, we build the highest-impact system first — usually call handling, because the ROI is immediate and measurable. We stay through implementation, train your team on the handoffs, and don't leave until the math checks out.
John spent a decade in applied AI — IBM Watson, Acoustic, Conversica — before building systems for businesses like yours. Mike built enterprise infrastructure at Fortinet. We bring that background to Georgetown-scale businesses — without the Big Four price tag or the six-month timeline.
The diagnostic is 3 days and $3,000. We map your operation, identify where AI will have the clearest impact, and give you a straight answer on whether it's worth pursuing — with the math to back it up. The document is yours either way.
Get the diagnostic →Not ready to commit? Book a quick intro call first. Or reach John directly: jb@jnow.io