For trades & construction companies

Dispatch faster. Quote faster. Keep the techs in trucks, not on the phone.

HVAC, plumbing, electrical, landscaping, roofing, general contractors, cleaners, pest, different trades, same operational chokepoints. Phones that ring faster than dispatch can answer. Quotes that sit on desks for a week. Maintenance agreements that quietly lapse. We wire intelligence into the back office so the field guys can stay in the field.

Serving North America jurisdiction-specific requirements confirmed during scoping

The trades run on a specific rhythm that is very different from office-based businesses. A call comes in. A person with a tool has to go somewhere. The margin on the job depends on how fast that happened, how correctly it was scoped, and how well the paperwork was handled afterward. When any of those steps break, the margin disappears in hours, not quarters.

Most trades companies under 50 employees run this rhythm with a dispatch team of 2-4 people, a sales or estimation function of 1-3 people, and a back office that is usually one overstretched person. Under normal conditions this works. Under any kind of stress, summer heat wave for HVAC, freeze event for plumbers, hailstorm for roofers, spring rush for landscapers, it breaks. Every trades company has a seasonal pattern of capacity failure that costs them their best margin of the year.

AI is specifically useful in this vertical for three categories of work. First, inbound triage, the judgment about whether a call is a same-day emergency, a 48-hour priority, or a next-week booking, and which technician to send. Done well, this frees dispatchers from the cognitive load that causes them to make expensive mistakes under pressure. Second, quote and estimate preparation, pulling customer history, parts lists, labor costs, tax rates, and prior work from multiple systems into a ready-to-send quote. Done well, quotes go out in 15 minutes instead of two days. Third, maintenance agreement lifecycle, the unglamorous work of renewing, scheduling, and communicating across a book of agreements that generate 30-50% of annual revenue in most mature trades businesses.

Critically, we do not automate the technician's judgment in the field. HVAC techs don't want a robot telling them what's wrong with the compressor. Electricians don't want an AI disputing their read on the panel. That work stays human. What we automate is everything around that work, the prep, the dispatch, the quote, the follow-up, the renewal. The stuff that keeps good techs off the road.

Well-scoped trades engagements typically return 15-30% more productive technician hours (because dispatch is no longer a bottleneck), 20-40% faster quote turnaround (which directly affects close rate), and 10-20% better maintenance agreement retention. For a $3M-revenue trades company, that usually translates to $400,000-$800,000 in additional contribution per year, once things are running.

This industry overview is not legal, regulatory, tax, or professional advice. Data handling and jurisdiction-specific requirements are documented in the engagement scope; no control or certification is implied by this page. Read the scoped data-handling approach.

The workflows that actually matter.

  1. 01

    Calls ringing faster than dispatch can triage

    During seasonal peaks, dispatch teams make bad assignments under pressure and calls go unanswered while competitors pick up the line. AI-assisted dispatch triage that pre-loads customer history, flags agreement status, and suggests technician matches cuts decision time per call by 50-70% and eliminates the missed-call problem.

    50-70% faster dispatch decisions
  2. 02

    Quotes that sit on desks for three days

    In many trades shops, quotes go out 24-72 hours after the site visit because the estimator has to manually assemble parts lists, labor time, tax, and customer-specific pricing. Close rates drop measurably with each day of delay. Quote automation typically compresses turnaround to same-day or next-morning, and lifts close rates 10-20%.

    Next-day quotes; 10-20% close rate lift
  3. 03

    Maintenance agreements that quietly lapse

    Agreements are 30-50% of revenue for mature trades companies, and they renew badly when nobody's tracking. Lifecycle automation, renewal reminders, tech-time booking, filter deliveries, seasonal visits, typically cuts lapse rate by half and produces several points of revenue recovery.

    Lapse rate typically halved
  4. 04

    Technicians spending an hour a day on paperwork

    Field techs commonly spend 45-75 minutes at the end of each day filling out work orders, photos, signatures, and invoice prep. Structured capture on-site during the job (voice + photos + AI-assembled draft) reclaims most of that time for more billable stops.

    +1-2 stops per tech per week
  5. 05

    Commercial PO chasing that eats the office manager's week

    Commercial clients pay on their schedule, not yours. Automated PO tracking, invoice matching, and follow-up sequences typically cut aged receivables 20-40% without the office manager having to chase each one manually.

    20-40% AR reduction
  6. 06

    Review requests nobody remembers to send

    Post-service review requests correlate tightly with Google ranking and inbound volume. Most trades companies fire them ad-hoc. Automated post-visit sequences with light personalization typically double review volume within a quarter.

    2x review volume

Qualified operational patterns and examples.

Each item states its evidence type. Representative or composite patterns are not presented as completed client engagements.

Representative Pattern

HVAC: triaging summer emergency calls at a 28-tech company

A regional HVAC contractor was losing 15-25% of same-day emergency jobs during heat waves because dispatch couldn't triage fast enough. We built a triage assistant that listened to inbound calls (with caller notification), pulled customer records, and prepared dispatcher recommendations in real time. Same-day capture rose 37% in the first full cooling season; dispatcher overtime dropped 40%; maintenance agreement renewal rose 6 points the following year.

Result: 37% more same-day emergency jobs captured

Representative pattern; not presented as independently verified client proof.

Representative Pattern

Plumbing: quote turnaround on service-agreement sales

A 12-truck plumbing shop averaged 52 hours from site visit to quote sent for larger service work. We built a quote-assembly workflow that pulled standard parts lists, labor time estimates, and customer-specific pricing into a ready-to-send quote within minutes of the tech completing the site visit. Average turnaround dropped to 4 hours; close rate on quotes rose 18%; monthly contribution from service-agreement sales roughly doubled.

Result: Quote turnaround 52 hrs → 4 hrs

Representative pattern; not presented as independently verified client proof.

Estimate the opportunity in your own numbers.

Plug in your actual volume. The math is visible, we don't use black-box formulas.

Directional scenario only. This calculator does not validate the inputs, estimate implementation cost, provide a quote, or predict a result. Confirm assumptions against your own records.

Your exact business type, written for you.

Each business type has different workflow economics and obligations. Select the closest path for a more specific starting point.

Questions to resolve before implementation.

Are you going to replace my dispatchers?

No. The dispatcher catches the edge cases the system will never handle, the weird caller tone, the neighbor-needs-a-favor call, the regular who always talks for 20 minutes. We remove the mechanical prep work so dispatchers can focus on the judgment calls that actually matter. In every engagement we have run, dispatcher job quality went up, not down.

We use ServiceTitan / Housecall Pro / FieldEdge / JobNimbus. Do we need to switch?

Almost never. We build around whatever field service management platform you already have. Ripping out an FSM is a separate and expensive problem we will not sell you. Our engagements integrate with your system's API and handle the work the generic FSM doesn't cover well for your specific business.

My techs are not going to use anything complicated.

Understood, and neither are we. The field-facing part of any engagement we build is deliberately minimal, usually a few extra fields in the existing work-order flow, often voice-based capture, sometimes just photos. The AI lifts happen on the back end. Your techs do not need to learn anything new to get the benefits.

Can you do seasonal businesses where most work is in a narrow window?

Yes, and this is often where we produce the biggest wins. Seasonal trades (HVAC summer, plumbing freeze events, roofing post-storm, landscaping spring) are where operational stress creates the most missed revenue. We always launch outside the season so the system is stable before peak.

What about commercial contracts vs residential?

Different workflows, different economics, usually different automations. Commercial work is dominated by PO chasing, bonding, and compliance paperwork. Residential is dominated by dispatch speed and review volume. We handle both, but they are scoped separately.

Describe the workflow in your own terms.

Glen replies in writing with a fit assessment within two business days.

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