Software does not change how a company runs. People do.
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.
Where we work
- 01AI readiness and roadmap
- 02Custom agent design and build
- 03Platform and integration work
- 04Enablement and adoption
Take one or take all four. Every phase ends with something you can use even if the next one never happens.
Four service lines, one accountable team
The same people who build ServiceIQ do this work. There is no handoff to a delivery partner who has never seen the code.
AI readiness and roadmap
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
Custom agent design and build
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 agentsPlatform and integration work
ServiceIQ, 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 integrationEnablement and adoption
This 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
Three phases, and you can stop after any of them
Weeks, not quarters. Every phase ends with something you can use even if the next one never happens.
Diagnose
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.
Build the first one
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.
Hand it over
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.
Who this works for, and who it does not
Saying no to the wrong engagement is cheaper for both of us than discovering it in month three.
This fits
- General contractors and specialty trades roughly between $3M and $50M
- A team already drowning in coordination rather than looking for work
- An owner or operator who will name a process owner and hold the cadence
- A willingness to start with one process instead of the whole operation
This does not
- A search for the cheapest seat price, where the platform alone is the better answer
- An AI mandate with no process behind it, because automation moves bad information faster
- A build with no named owner on your side, which is the one thing we cannot supply
- A timeline that needs the whole company changed at once
The platform, the agents, and the team that lands them
Start with the software, start with one agent, or start with the diagnosis. All three lead to the same place.
ServiceIQ
Jobs, schedule, documents, approvals and billing in one system your crews actually open.
- One flat fee, not per seat, so growing the crew does not raise the bill
- Native HubSpot and QuickBooks, plus a branded portal for the customer
- Run a real job through it on day one, before you pay anything
Custom AI agents
Agents built on your process, scoped to a role, and stopped for a human wherever you say so.
- They act on your own records rather than answering questions about them
- An agent can never do what the person it works for cannot do
- Every action it takes is logged, and the risky ones wait for a sign-off
AI implementation
The team that builds the platform, putting AI into your operation and proving it moved a number.
- A readiness read and a roadmap before anybody writes code
- Integration and data work on the systems you already run
- Enablement for the crew, because adoption is where this usually dies
Start with the process that is costing you the most
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.