# 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.

- **Where:** The audit ranks your workflows by return, so AI lands where it pays first.
- **Workflows:** We rebuild the workflow around the agent, not around the demo.
- **Production:** Evaluation gates take it from promising demo to a system that runs at scale.
- **Cost:** Hourly work moves onto a system that runs for a fraction of the cost.

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.

### 01 · 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.

**Outcome:** Revenue kept

_78% of consumers have walked away from a business over an unanswered call (CallRail, 2025)._

### 02 · 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.

**Outcome:** Revenue found

### 03 · 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.

**Outcome:** Time back

### 04 · 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.

**Outcome:** Cost down

**What it changes**

## Every build has to move one of three numbers.

If it won't move one, it doesn't get proposed.

### More revenue

**A missed call becomes a booking; a cold lead gets its follow-up.**

**Examples 01 · 02**

### Less cost

**Work you were paying for by the hour or by the month runs on the system instead.**

**Example 04**

### Time back

**Quotes, 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

Every candidate build goes on one matrix, return against effort, and comes out ranked: do now, do next, later.

- Do now: high return, low effort
- Do next: high return, higher effort
- Later: low 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.

1. **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._
2. **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._
3. **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._
4. **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.

1. **Call** — 30 minutes, free.
2. **Audit** — Your workflows, ROI-ranked.
3. **Proposal** — What we'd build, and in what order.

You'll hear back within one business day, from the person who'd build it.