Agents
Work flows with super intelligence.
Custom agent workflows, built on the same Claude your people already use. One workflow at a time, in your systems, with a clear limit on what the agent can touch.
What an agent is
For the work that needs more than a good answer.
An agent plans and carries out multi-step work where the path cannot be written down in advance. Skills bring your company’s expertise, connectors bring your systems, and Claude does the work — together, one agent on one job.
It understands your business.
It reads your records, your history and your process — the ERP, the forecast, the document store — through connectors built for that one workflow.
It reports in plain language.
Answers, scenarios and finished work your people can review, with where each figure came from.
It acts only where you let it.
Read-only first. Where it does change something, a person approves it. The limit is written down before we build.
Why an agent
Some work cannot be scripted, and cannot be left to a chat window.
The steps change every time.
A variance, a late customer, a bid missing a drawing. Rules-based automation breaks exactly where the work gets interesting.
The answer lives in your systems.
It is in the ledger, the schedule and the history — not in whatever someone pasted into a prompt.
The number needs an owner.
Built for named users and one measurable result, an agent earns its place. Built for everyone and nothing, it is a demo.
What
Every agent we ship is built the same way.
One workflow you already run
Bids, estimates, project controls, compliance, field administration, close. Work that already touches the P&L — not a new process invented for the agent.
Named users
The people who run that workflow today, signed in the way the rest of the company signs in, with a role check on every request.
Your data, where it lives
Connectors to your ERP, CRM, document stores and internal systems. Nothing copied into someone else’s tool.
A clear limit on what it can touch
Read-only first: it sees everything it needs and changes nothing it should not. Anything more is approved by a person.
A failure mode
What the agent does when it is unsure or wrong — it says so, shows its sources, and hands back to a person.
A number measured before we start
Cycle time, rework, bid turnaround, exception rate, close. Measured before the build and after a full cycle.
Built on your Claude
It runs on the Claude your company already uses, under the same sign-in, controls and audit. Nothing separate to govern.
Done when
The users have run it through a full cycle and the number moved — or we say plainly that it did not.
After launch, the agent can stay with us: we keep it in service and extend it to the next workflow when the number justifies it. Named scope. You can stop. The work stays yours.
How
Four steps. No workshop.
If it needs a platform, it is the wrong build. If a workflow cannot carry an agent, the answer is no.
- 01
Sit with the work.
We sit with the people who run one workflow that already touches the money.
- 02
Decide, in writing.
Where an agent belongs, where it does not, what it may touch, and the number that has to move.
- 03
Build it.
One agent, in your systems, read-only first, with named users from day one.
- 04
Hand it over.
A named owner who is not us. The number measured through a full cycle.
Projects
What we have built. Each one in full detail.
Every project is written the same way: what was broken, what shipped, the limit on what it can touch, and who uses it.
“That’s the whole idea, you’ve got to rethink how technology is going to work within your company. So I’d rather never have to use Power BI again.”
From AI Maverick
Notes from the builds.
