AI agents that keep working when nobody's watching.
The calls, quotes, and follow-ups you still handle yourself? Hand them to an AI agent. We work like an engineer deployed inside your business: find where AI pays, build the agent, run it to production.
Why now
The models stopped being the bottleneck. Putting them to work is.
The audit ranks your workflows by return, so AI lands where it pays first.
That gap is the job.
The audit finds where it pays. The build closes it. Evaluation gates keep it closed.
What we build
Examples of what we build
Four examples, not a catalog. The audit decides the actual list.
Revenue kept
Voice agents
An AI receptionist that answers every call and doesn't let a hesitant caller evaporate. A call answered at 9pm becomes a booking instead of a voicemail.
78% of consumers have walked away from a business over an unanswered call (CallRail, 2025).
Revenue found
Lead generation
Systems that find, qualify, and follow up while you do the actual work. The follow-up you never had time to send goes out on schedule, while the lead is still deciding.
Time back
Agentic workflows
The busywork between your tools (quotes, intake, paperwork, follow-ups), done by AI agents instead of your evenings. The quote is drafted from the call notes before you're back at your desk.
Cost down
AI operating system installs
An AI operating system installed around your business: shared context, starter agents, daily routines. The setup we run ourselves, adapted to how you work. The daily routines that used to take paid hours run before anyone's in.
What it changes
Every build has to move one of three numbers.
If it won't move one, it doesn't get proposed.
01More revenueA missed call becomes a booking; a cold lead gets its follow-up.
Examples 01 · 02
02Less costWork you were paying for by the hour or by the month runs on the system instead.
Example 04
03Time backQuotes, intake, and paperwork get done while you're on the job, not after it.
Example 03
How we decide
How we decide what's worth building
Return ↑makes you money, saves you money, saves your time
Effort to ship →
Every candidate build goes on one matrix, return against effort, and comes out ranked: do now, do next, later.
- Do nowHigh return, low effort.
- Do nextHigh return, higher effort.
- LaterLow return, any effort.
Custom systems earn their place by the math, not by being impressive.
How it works
Start with a free call, not a contract.
Call
Thirty minutes, free. You talk, we ask questions, and we both find out whether there's something worth building.
You leave with
A straight answer: worth building, or not.
Audit
We go through your site or your workflows and rank what we find by return. Already done the AI Assessment? That was your audit. You enter at Build.
You leave with
A proposal, ROI-ranked. Not a pitch.
Build
Fixed scope, fixed price, weekly updates. You always know what's shipping and when.
You leave with
A working AI system, live and measured.
Run
Optional. We stay on to keep it working and keep it growing, or take the keys; everything is yours either way.
You leave with
A system that keeps running. Yours either way.
Every project matures into a system that runs.
Before you call
The questions every owner asks.
How do we know it will pay for itself?
That's the gate every build passes before it's proposed. The audit puts each candidate on the return-against-effort matrix: does it make you money, save you money, or save your time, and what does it take to ship. Only what clears the bar gets proposed, at a fixed price, so the math is on the table before any build starts.
What if what we need isn't on this page?
The cards above are the shop window, not the catalog. The audit ranks whatever your business actually needs; if the highest-return build is something we've never listed, that's what gets proposed.
Will you always recommend a custom build?
No. If an off-the-shelf tool does the job for $40 a month, that's what the proposal says. Custom systems only get proposed when the math beats the tool.
Who owns the system?
You do. Code, prompts, configuration, documentation, all handed over whether or not you take the retainer.
How do you keep an AI system from embarrassing us?
Every system ships with an evaluation suite: the rulebook of things it must always do (confirm the phone number, offer the callback, never invent an answer). Every change replays it before going live. We've rejected faster, cheaper models because they failed that gate.
Get a proposal
Tell us what's eating your margin.
A few sentences about the busywork is plenty. If the honest answer is "buy a $40 tool," that's the answer you'll get.
Call
30 minutes, free.
Audit
Your workflows, ROI-ranked.
Proposal
What we'd build, and in what order.