Strategy decks
We don’t sell a readiness assessment, a roadmap deck, or an AI strategy workshop. Phase 1 produces a working map of your operation, not a slide deck about the future.
ServicesFour kinds of work
No packages, no tiers, no per-seat pricing. Every engagement is scoped to your operation. But the work itself falls into four buckets, and they stack in roughly this order — you rarely get value out of the fourth one without the first.
Service 01Operations centralization
Most companies don’t have a software problem. They have a location problem — the same job exists in six places, and none of them agree.
A job in your business right now probably exists as a text thread, a line in a spreadsheet, a name on a whiteboard, a folder in a filing cabinet, and a record in two apps that don’t talk to each other. Every one of those is a partial copy. When they disagree — and they always eventually disagree — somebody has to sit down and work out which one is right.
Centralization is deciding what the single record of a job is, and then making every other surface either read from it or write to it. We do not start by replacing your tools. We start by finding the record everything else should agree with, and building the connections so the pieces you keep stop being independent sources of truth.
Map first. We follow three or four real jobs end to end, including one that went badly, and write down what actually happened. Then one slice goes into production — usually intake, because it is the cheapest to change and the most visible. Then the remaining surfaces move onto the record one at a time, with the old path left running until the new one has proven itself.
Where it fits: start here if the same job exists in four places and you are the human integration layer between them. Skip it if you already have one system of record and your problem is what that system does — in that case start with quote-to-cash.
Service 02Quote-to-cash automation
Money doesn’t leak inside the steps. It leaks in the joints between them.
Quote-to-cash is the whole path from “somebody wants a price” to “the money is in the account and matched to the job.” Every company already runs this path. What varies is how much of it depends on a person remembering to do the next thing.
The estimate that never got followed up. The approval nobody wrote down. The invoice that went out nine days after the work was finished. The payment that came in and never got matched to anything. Those are joints, not steps — and they are where the margin goes. We instrument the joints: each step hands the next one a complete, verified package, each handoff is timestamped, and anything that stalls raises its hand instead of sitting quiet.
Measure, then automate the most expensive joint first. Before anything is built we instrument your current path so we can see where work actually stalls and for how long. That number decides the build order — not our preferences and not what is easiest to demo. Each joint goes live on its own, so value lands in weeks rather than at the end of a long project.
Where it fits: start here if you can’t answer “how many estimates went out last month, and how many closed” without doing arithmetic in your head — or if your invoices consistently go out later than the work does.
Service 03Talk-to-your-data
Plain question in. Answer out — with the rows it came from, so you can check it.
An interface — a chat window, a phone-sized page, or a surface inside a tool you already use — where you ask a question in your own words and get an answer drawn from your own systems. What’s unbilled over thirty days. Which crew has the most callbacks this quarter. Show me every job we’ve done at that address. What did we quote this customer last spring.
The difference between this and a chatbot is that the answer has to be traceable. Every response comes back with the records behind it, so a number can be checked in ten seconds instead of taken on faith. And when the data genuinely can’t answer the question, the system says the data doesn’t say — it does not produce a plausible number to fill the silence.
Read-only first, always. The first version answers questions and changes nothing. We run it against questions you already know the answer to, so accuracy is proven before it is trusted. Write actions — sending, scheduling, invoicing from a question — come later, one at a time, each one gated on a confirmation you control.
Where it fits: this pays off once your operational data lives somewhere consistent. If the answer to a question is currently spread across five tools, the interface will only be as good as the mess underneath it — start with centralization instead.
Service 04Data-integrity engineering
The reason we’re an engineering shop and not a consultancy. Anyone can wire two tools together. The question is what happens on the bad day.
The foundation the other three sit on: isolation, provenance, reconciliation, and an audit trail. It is the least visible work we do and the reason the visible work can be trusted with money.
The bad day is when an API returns nothing instead of a price. When two systems disagree about the same invoice. When a network blip makes a job look like it was never sent. A no-code trigger handles none of that — it happily writes a zero, picks a winner at random, or fires twice. Systems that touch invoices, schedules and customers have to fail loudly and recoverably, or they will quietly corrupt the numbers you make decisions from.
Mostly it isn’t a separate purchase. It is the standard everything else gets built to, included in the scope of the work above. It becomes its own project when you already have automation running that you don’t trust — in which case the engagement starts with an audit of what your current automation does on the bad day, and what it has already gotten wrong.
Where it fits: buy this on its own if you have automation you’re afraid to turn off and afraid to trust, or if a system has already sent something wrong to a customer and nobody can explain why.
05How the work runs
Every phase produces something you keep. If you walk away after phase one, you still own a written map of your own operation that you didn’t have before.
The engagement model in fullThirty minutes. You walk through how work moves today; we ask uncomfortable questions about the joints. You leave with an honest read on whether there is anything here worth building, including “not yet.”
Two to three weeks. We follow real jobs through your business, document the path, quantify where it stalls, and hand you a written map with a recommended build order and what each slice is worth. Yours to keep whether or not you build with us.
One slice at a time, into production, most expensive leak first. Price agreed before work starts. The old path keeps running until the new one has proven itself on real jobs, not on test data.
Documentation, credentials and ownership transfer to you — or a month-to-month arrangement if you would rather we keep operating and extending it. Either way you own the system and the data. There is no version of this where leaving costs you your records.
06Boundaries
Being specific about this saves everybody a call.
We don’t sell a readiness assessment, a roadmap deck, or an AI strategy workshop. Phase 1 produces a working map of your operation, not a slide deck about the future.
If your scheduling app works, keep it. We connect what works and replace only what is actively costing you. Wholesale migrations are how six-month projects happen.
No per-seat licenses on our own platform, no data held hostage, no twelve-month minimum. The system runs in your accounts wherever it can, and the exit path is written down at the start.
Your operational data is used to run your system. It is not pooled with other clients, not used to improve anything we sell to anyone else, and not sent anywhere the engagement hasn’t named.
That’s what the discovery call is for. Describe the part of the week that eats you alive and we’ll tell you which of the four it is — or that it’s a process problem software won’t fix.
For most field-service companies it is the quote-to-cash path — specifically the estimate follow-up and the invoice lag. That is where the recoverable money usually sits.