We build the platform, so we know exactly where an implementation goes wrong. Our team puts AI into your operation the way it has to be done in construction: one process at a time, against a number you picked, with your own people running it when we leave.
Buy software and you own a tool. Buy an implementation and you own a system.
Take one or take all four. Every phase ends with something you can use even if the next one never happens.
The same people who build ServiceIQ do this work. There is no handoff to a delivery partner who has never seen the code.
Before anyone writes code, we map where your margin actually leaks: the handoffs, the duplicate entry, the decisions waiting on one person. You get a ranked list of what AI should touch first and what it should stay away from.
You end up holding: Process map, ranked opportunity list, the business case for the first two builds
We build the agent on your records and your approval rules, run it alongside your team until its answers stop surprising you, then turn it on. The guardrails are permissions, not instructions, so they hold when the model changes.
You end up holding: A working agent, its permission model, and the measurement that says it worked
How we build agentsServiceIQ, HubSpot and QuickBooks wired to each other and to whatever else you run. We have done the data side of this often enough to know that the schema decision made in week one is the one you live with for years.
You end up holding: Connected systems, a schema that survives growth, and no duplicate entry left behind
See the HubSpot integrationThis is where most AI projects actually die. We train the office and the field separately, because they need different things, and we leave your team able to change the system without calling us.
You end up holding: Role-based training, written runbooks, and an owner named for each process
Weeks, not quarters. Every phase ends with something you can use even if the next one never happens.
We sit with the people doing the work, follow two or three real jobs end to end, and write down where the time goes. You get the findings whether or not you buy anything else.
One process, in production, measured against the number it was supposed to move. Narrow on purpose: a win your team can point at buys more change than a program nobody finished.
Runbooks, named owners, and the training to go with them. If we have done this right, the second process is one you can scope yourself.
Scope decides the price, so we quote after the call rather than before it. What we will tell you on that call is whether this is worth doing at all.
Saying no to the wrong engagement is cheaper for both of us than discovering it in month three.
Jobs, schedule, documents, approvals and billing in one system your crews actually open.
Agents built on your process, scoped to a role, and stopped for a human wherever you say so.
The team that builds the platform, putting AI into your operation and proving it moved a number.
Bring one. We will walk it with you and tell you what it would take to fix, including when the answer is that you do not need us.
Book a scoping call
