Automation, integrations & AI.
Every business runs on paperwork nobody sees. The lead that lands in a spreadsheet no one checks. The quote that takes three days to go out. The invoice chased by hand, twice. The two systems that don't talk, so somebody retypes what one of them already knows into the other.
We automate that layer. Not the work itself — the handoffs around it: leads routed somewhere they'll be answered, quotes and invoices that send themselves, payments that land in the books without a Friday spent reconciling.
Where it sits in the engine.
Automation is what happens after someone says yes. The engine turns a stranger into a customer; this is the follow-through that turns that yes into a served one — confirmed, scheduled, invoiced, paid. It also feeds a way to see what's working, because a connected system is a measurable one: when every lead, quote, and payment moves through the same pipes, the numbers stop being a guess.
The four components are laid out in what we build.
What's included.
A map of the current workflow
Before anything is built, a chart of what actually happens today — every handoff, every retype, every place a lead or an invoice waits on someone remembering.
CRM setup and cleanup
HubSpot configured from scratch, or dug out from under years of duplicates and dead deals, so it reflects your pipeline instead of contradicting it.
Lead routing and follow-up
Every inquiry lands where a person will see it, gets a reply on time, and gets followed up on a schedule instead of a memory.
Quote and invoice automation
Quotes out the day of the call, invoices sent and chased without a hand doing it, and Stripe payments meeting the books on their own.
System-to-system integrations
The tools you already run, connected. If the business lives on Microsoft 365, Power Automate does the wiring; otherwise, the systems' own APIs.
AI-assisted steps where they pay
Claude and other AI APIs on the drudge work — drafting follow-ups for a human to send, summarizing intake, pulling data out of documents. Where it doesn't pay for itself, we leave it out.
Documentation
Every workflow written down: what it does, what it touches, what to check when something looks off. It shouldn't be magic to your team.
Audit first.
The first deliverable is a map, not an automation. We chart what actually happens today — the real path a lead, a quote, or an invoice takes through the business, including the steps that live in someone's head.
Then we automate in order of what the manual version costs. The quote that takes three days usually comes first, because it's the one losing you work; the elegant two-system integration can wait its turn.
What it costs.
This work is quoted per project. Three dials shape the number — quality, speed, and size. You tell us where each one sits; we tell you what fits. The full picture is in how we price.
If what you need is the whole path — found, landing, saying yes, measured — that's your first Customer Engine, one engagement starting at $10,000.
Questions we hear.
Will this break when one of our tools updates?
We build on the official APIs and connectors the vendors themselves maintain — HubSpot's, Stripe's, Microsoft's — not on scripts imitating a person clicking through a screen. Those survive updates because the vendor is paid to keep them working. When something changes anyway, the workflow fails loudly and gets fixed — not rediscovered a month later.
Do we need to buy new software?
Usually not. Most of what we automate runs on tools you already pay for — HubSpot, Microsoft 365, Stripe, your booking or accounting system. We recommend something new only when there's a real gap, and we'll tell you what it costs before you're committed to it.
Where does AI actually fit?
In the steps where it pays for itself: drafting a follow-up for a human to review and send, summarizing a long intake into the fields your CRM needs, pulling names and numbers out of documents. What it doesn't do in our builds is talk to your customers unsupervised or make decisions nobody checks. It's good at drudge work and bad at being accountable, so we give it drudge work.
What happens when a workflow fails?
It tells someone. Every workflow we ship logs what it did and alerts a named person when a step fails — a silent failure is worse than no automation at all, because by then you've stopped watching. Monitoring is part of the build, not an add-on.
Let's talk.
A short, three-step form. We reply within two business days. Your first Customer Engine starts at $10,000; everything else is quoted per project.