Work

Problems solved.

I don't lead with a generic template. I lead with a diagnosis: where your operational information actually lives, how work really flows through it, and what it's costing you. Here's what that looked like for the first business I did this for.


Same three trucks. Same one admin. The operator's not the bottleneck anymore.

Right now, without a system

  • Route building1 hr/nightrebuilding the route from a group text
  • Fee recovery$700+/molost to fees nobody flagged in time
  • Invoicing3–4 daysbefore a dropped box got invoiced

After the build

  • Route building10 minroute drafts itself, operator approves
  • Fee recovery$3,500+recovered day one, $700+/mo since
  • InvoicingSame dayinvoiced, no more waiting on the operator

One system replaced the group text, and it runs without the operator in the middle of it.

From the operator

It has created an easier way of cash flow, a better system of invoicing, and it's a better experience for the drivers too. It really has been a good experience, and it's worked out well.

— the operator


A waste hauling operator, Atlanta

01 · Understand

3 trucks, 1 operator, 1 admin, about 15 jobs a day, 140 containers in the fleet. The information did live in one place: a group text someone re-read by hand every night. It just wasn't usable. Container billing windows lived nowhere at all.

02 · Document

We spent the first session mapping every channel the operation's information was scattered across and how work actually moved through them, then wrote down, for the first time, what the real process was.

03 · Build

We built the fix into the one place it mattered most: dispatch, and a 21-day container tracker that flags overdue fees with the exact dollar amount owed. AI runs quietly inside both.

04 · Scale & hand off

The team runs it themselves now. Cash flow is faster, the owner has real time back for growing the business, and the process is documented well enough that anyone on the team can pick it up.

This was a direct software build: dispatch tooling and a container tracker, with AI used at a couple of specific points.


This is the first entry in what will become a running set of case studies.

The problem is never really about waste hauling, HVAC, or any one industry. It's always some version of the same thing: no documented workflow, no structured data, information scattered across whatever channel was convenient at the time.

The fix looks different for every business. The process for finding it starts the same way.

Every engagement starts with a conversation. Scope comes after.

Let's talk →