Double data-entry everywhere
Customer info, job records, sub bills, and invoices were re-keyed between PaintScout, HeyPros, QuickBooks, and the CRM.
Our work · Case studies
Three systems we designed and built for three owners — what was broken, what we shipped, and where each one stands today. Two are running in production; the third is still being built, and says so. No hypotheticals.
Case study 01
How Accent Painting, a Denver residential painting contractor, eliminated double data-entry across five systems and got true per-job profit visibility.
What we built
5
Platforms unified behind one system of record
9
Production automations
~2 min
From accepted quote to books-ready
$0
Moved by the system — humans approve all money
The challenge
Every accepted quote meant the same job got typed into three or four systems by hand.
Customer info, job records, sub bills, and invoices were re-keyed between PaintScout, HeyPros, QuickBooks, and the CRM.
Paint costs landed as one monthly lump sum and sub bills weren't tied to jobs, so the owner couldn't see which jobs made money.
Customer invoices were built by hand after walkthroughs, sometimes days later. Slow invoice, slow cash.
The paint-supplier statement routine was one workflow change away from double-counting five figures a month in materials costs.
Completed customers never reached a marketing list, so neighbor mailings and review requests depended on someone remembering.
A previous agency left ~10 Zapier zaps with no error handling, no deduplication, and no documentation.
The approach
01
We mapped every zap, workflow, and bookkeeping habit before building — and found the landmines.
02
One system of record ties every job's IDs across all five platforms — written once, read by everything downstream.
03
Every money-writing step is idempotent, so double-posting is impossible — and nothing moves money without an open gate.
04
His tools and habits stayed; Zapier became a thin sensor layer feeding a monitored automation core.
What we built
A customer accepts a PaintScout quote and QuickBooks instantly gets the customer, the job, and an estimate at the accepted price. About 2 minutes, zero touches.
A subcontractor invoice approved in HeyPros becomes a QuickBooks bill in seconds, correct vendor, tagged to the job, change orders included.
Supplier invoice emails become per-job bills automatically, and every month a robot reconciles the supplier statement against the books and emails the verdict.
The final walkthrough triggers the customer invoice at the accepted price, payment link included — piloted behind an approval gate, now fully automatic.
When the invoice is paid, the customer moves to "Past Customer," gets tagged, and joins a self-filling marketing list.
Subs check "1 hour out" or "final walk complete" on their existing checklist and the customer gets the text, the thank-you, and a review request. Nothing new for crews to learn.
Results
The full lifecycle
The whole customer lifecycle runs on its own, from the first quote to the neighbor mailing.
Case study 02
How Advantage Security — and Scott Honsberger, the Site Supervisor who runs the paperwork on its Denver single-family-rental turnovers — stopped hand-transcribing every line item on every job. The build we delivered for his own work orders became SubCost.
What we built
50+
Pages in a single work-order PDF
73
Line items on one job — 62 on another
60%
Subcontractor cut, previously figured by hand per line
Daily
In use on live jobs today
The challenge
Every job arrived as a work-order PDF running 50+ pages, and none of it was usable until Scott retyped it.
Read all 50+ pages, then hand-copy each line item and its approved price. One real job carried 73 line items; another carried 62.
His subcontractor cut had to be computed against every approved price individually before he could tell what the job was actually worth to him.
What he was paid and what he actually paid out were tracked separately, so he learned how a job performed once the job was already over.
On a 73-line hand transcription, a single mistyped or skipped price is invisible — and comes straight out of his own margin.
The approach
01
Extraction tuned to the actual Invitation Homes scope-of-work format, developed against his own work orders.
02
Every line lands carrying its approved price and his 60% cut, computed the moment the file opens.
03
He types in yellow cells only. Everything else is protected, so a stray keystroke can't break a formula.
04
SubCost opens in the browser and signs him in from an emailed link. Nothing to install, no password to keep.
What we built
Upload the work-order PDF and the finished Excel job workbook comes back priced and phased — two to four seconds in the build we validated against his own jobs.
One tool with one job. The work order goes in and an Excel job workbook comes back out. The build we delivered to Advantage Security wrote a five-sheet workbook next to the PDF on his own machine; SubCost hands the workbook back in the browser and deletes the upload once it’s built.
Every line item auto-grouped into phases in construction order — Demo first, Final Clean last — with room, full vendor instructions, quantity, the approved price, and his 60% cut. Job totals pinned to the top and frozen while he scrolls.
He types in the yellow cells only: an “x” when an item is done, and what it actually cost. Every other cell is locked by sheet protection.
A Flag column grades every line as costs go in — OK, TIGHT once a cost passes 85% of his price, or OVER. He sees the squeeze while the job is still running.
The change-order form fills itself from his working numbers and shows printed-price terms only. His cost and margin internals stay off the page he hands over.
A Settings sheet holds the subcontractor rate (60%), the change-order warning threshold (85%), the markup (20%), and the trade-to-phase map — editable per workbook without touching the app.
Results
Every figure above was measured on the build we delivered to Advantage Security, across three of its real work orders. They are what that workflow did on those jobs, not guaranteed results for every SubCost document.
Where it went
What we proved on Advantage Security’s work orders now runs in the browser for anyone who gets paid off someone else’s scope: sign in with an emailed link, upload the work order, get the priced, phase-ordered workbook back.
Case study 03 · In progress
Nickolas Peters owns Epimeno Holdings, a Denver real-estate wholesaling business, and set the job in one line: beat the competition to his wholesale deals. We’re building him HotSignal — custom lead-generation software that goes to the county for records itself and hands his team phone numbers already checked against do-not-call. The build is in progress; what follows is what it does, not what it has returned.
What we’re building
5
County sources pulled direct, not through a broker
4
Record types per county source, at most
Every
Skip-traced number DNC- and litigator-checked first
1
Screen to filter, inspect, and export the whole pipeline
Those four are build facts — what the system is built to do. They are not outcome figures, and this study does not carry any: the build is still in progress.
The challenge
Nickolas Peters is not the only wholesaler working Denver, and the lead flow he was buying arrived on somebody else’s terms.
On a given property, the wholesaler who reaches the seller first is the one who gets the conversation. Second place isn’t a smaller deal — it’s no deal.
Lead flow was bought in from a broker, with a cut of every closed deal on top. Nothing about the supply belonged to the business, and it lasted exactly as long as the arrangement did.
Licensed bulk data can trail the actual county record by weeks. In wholesaling, a record you receive weeks late is not the same asset as the record itself.
Skip-trace hands back numbers. It does not tell you which of them are on a do-not-call list or attached to a known litigator — and that is exactly the difference between a call and a TCPA problem.
A data engine on one side and a CRM on the other drift apart fast: statuses updated in one, duplicates created in the other, and no agreement on which record is real.
Raw county records, enrichment, and skip-trace results are three different shapes of data. Without one place to filter and inspect them, the team is reading exports.
The approach
01
Records pulled direct from 5 county sources, up to 4 record types each, deduped and scored on arrival — same-day to 48 hours, not weeks behind.
02
Skip-traced numbers are DNC- and litigator-checked before the team ever sees them, and the flag stays visible on the lead.
03
Licensed-API enrichment fills out the record, and a two-way GoHighLevel sync keeps the CRM and the engine telling the same story about it.
04
Deal Terminal: filter the pipeline, open a lead, inspect it, export it — with the compliance flag right where the dialing decision gets made.
What we’re building
Anyone can buy a skip-trace. What a skip-trace will not tell you is whether the number it just handed you is legal to call — so that check sits at the front of HotSignal, not behind it.
Skip-trace returns phone numbers; it does not make them legal to call. Every number is DNC- and litigator-flagged before it reaches the team, not after someone has already dialed — and the same logic runs with no paid skip-trace at all, against any DNC list Epimeno provides.
One internal dashboard for the whole pipeline: filter the list, open a lead and inspect everything known about it, export what you need. The compliance flag is on screen where the dialing decision gets made, not buried in a report.
Records pulled direct from 5 county sources, up to 4 record types from each, deduped against what is already in the system and scored as they land.
Because capture is direct from the county, a record shows up same-day to 48 hours. Licensed bulk data can trail the actual county record by weeks — and that gap is the whole difference between getting there first and getting there second.
Each record is filled out from licensed data sources, so a county record becomes something the team can act on rather than research.
Opportunity mapping, tags, dedupe, and status write-back both directions. Work a lead in the CRM and the engine knows; the engine updates a record and the CRM knows. There is one version of a lead.
The pattern
Case study 02 above started as one supervisor’s pile of work orders and ended up as SubCost, a web app any subcontractor working off someone else’s scope can use. HotSignal is that same story running a second time: custom lead-generation software for real-estate wholesalers, whose first build belongs to Epimeno Holdings. Nickolas Peters gets a system shaped around his deals; the shape turns out to fit the trade. That build comes first, and it is still underway.
Where it stands
HotSignal is being built for Epimeno Holdings right now. There are no outcome figures on this page — no deals, no leads counted, no hours saved, no revenue — because none have been measured yet. Everything below describes what the system is built to do, not what it has returned. We would rather publish real numbers late than estimated ones now. When there are figures worth the name, they will appear here.
Results reflect each client’s experience and the specifics of their business. Individual results vary and are not a guarantee of similar outcomes.
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