AI automation agency

Turn your manual operations into AI agents

We build custom agents that take over your repetitive processes and run them end to end. Your team gets their week back for the work that grows the business.

See which processes an agent could run.

[ HERO IMAGE — to come ]

The work nobody wants to do

These are the agents we build most. Each one is built around the process it runs, not picked from a template.

Support

Routine tickets answered before you open your laptop

Ticket #4192 Replied in 4 min
Any update on my refund?
Your refund of $49.00 has been processed.

Account and history checked

Growth plan · order AC-1024

34 handled overnight · 2 escalated

Sales

Every lead qualified the minute it lands

New inbound lead Scored in 40s

M. Okafor

Head of Ops · Northwind

84 / 100 fit

Routed to mid-market

matched on size and sector

Meeting booked

Thursday 10:00 · invite sent

19 scored · 6 routed · 3 booked

Finance

Every supplier invoice, entered and matched

Accounts payable 06:12
Matched INV-1228

$4,012.46

Matched to PO-1743

coded 6400, queued for approval

3 sent to a human

no matching purchase order

82 processed today · 0 typed by hand

Operations

The weekly report, built while you sleep

Weekly report Monday 07:00

Revenue

$48.2k

Signups

312

Churn

1.4%

Four systems pulled

billing, CRM, product, support

Posted before anyone logged in

Onboarding

New customers set up without the chase

Customer onboarding day 3

9/12

steps complete

Accounts created

12 users · permissions applied

1 step waiting on the customer

signed order form · reminder sent

Nothing stalls without someone knowing

Data

Records updated across every system

Record sync Last run 05:40

340

records in step across three systems

12 duplicates merged

matched on domain and billing ID

5 held for review

two billing addresses, neither primary

Nothing overwritten without a decision

Everyone's buying agents. Almost nobody's ready

Most builds stall in the gap between those numbers. That's why we map the process before we build anything.

3 in 4

plan to deploy AI agents within two years

21%

have a mature model for governing them

25%

have moved 40% of AI pilots into production

Source: Deloitte, State of AI in the Enterprise 2026

How it works

  1. 01

    Map

    We look at one process end to end and tell you what an agent can take and what should stay human.

  2. 02

    Build

    We build it, test it against your real cases, and show you it working before it touches anything live.

  3. 03

    Run

    It goes live with every action logged, so you can see exactly what it did. We watch it, fix what breaks, and hand it over running.

What you get either way

Whatever process we automate, these four things don't change.

  1. 1

    Weeks, not months

    Most single-process agents go live in four to eight weeks.

  2. 2

    Tested on your real cases

    We run the agent against your historical work before it touches anything live.

  3. 3

    Security built in

    Your data stays in your systems. Every action logged. We'll complete your security questionnaire and sign your NDA.

  4. 4

    Works with what you have

    Agents plug into the tools you already run. No migration, no new platform to learn.

Not sure where to start?

Answer five questions about one process. You'll get a plan showing the hours it takes today, what an agent would do instead, and whether it's worth building.

Build my automation plan

Two minutes. No call required.

Depends who's asking

Founders

Grow without adding headcount for work that doesn't need judgment.

Operations

The process runs itself. Your team handles the exceptions, not the volume.

Finance

See what the manual hours actually cost before you decide anything.

IT

Where your data goes, what the agent touches, and what we'll sign.

Questions people ask before they call

What does an AI agent actually do?

It runs a process end to end. It reads the input, checks what it needs to check, makes the routine decisions, takes the action in your systems, and flags anything unusual for a person. Unlike a chatbot, it does the work rather than talking about it.

How much does it cost to build an AI agent?

Builds start at USD $6,000 for a basic agent: one process, one system, clear rules. From there it depends on how many systems it touches, how much judgment sits in the process, and how clean your data is. There's also a monthly running cost for the model and hosting, which we tell you upfront rather than after.

How long does it take?

Four to eight weeks for a single process, from first map to live. Longer if it spans several systems or the process isn't documented anywhere yet.

Is it safe to use AI agents with our data?

Your data stays in your systems. Every action the agent takes is logged, so you can see exactly what it did and when. We'll complete your security questionnaire and sign your NDA. Full detail on the security page.

What happens when it gets something wrong?

It flags the case for a human instead of guessing. We test every agent against your real historical cases before it touches anything live, so you see how it handles the edge cases before it runs them.

How is this different from Zapier or Make?

Those tools pass data between apps in a fixed sequence. They break when something unexpected arrives, because they can't reason about it. An agent decides what to do based on the situation, which is why it handles the messy 20% that breaks a zap.

Do we need to change our software?

No. Agents work with the tools you already run. No migration, no new platform for your team to learn.

Start with one process

Answer five questions and get a plan showing what the work costs you today, what an agent would do instead, and whether it's worth building.

Two minutes. No call required.