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We work out where AI pays in your business, then build it.

Our approach

Where it pays comes first. Building comes second.

Most of the work isn't building. It's knowing where AI pays.

Every owner has heard the pitch. Hardly anyone has been shown where it would earn its keep in their own week. We start with that.

The six places we look

Work nobody wants to do turns up in every department.

  • Sales: proposals started from scratch, and follow-ups that slip.
  • Finance: billing that waits on timesheets, and bank-detail changes nobody checks.
  • Operations: supplier dates that slide, and an owner's day with no list.
  • HR: licenses that lapse, and interviews that take six emails to book.
  • Customer service: status calls, missing documents and client mail read late.
  • Marketing: the client letter that stopped, and trade-show cards left in a drawer.

Staffing, home health and construction have it. So do distribution, manufacturing, accounting, insurance and wealth management.

We map how a job really moves

We ask who starts a job, where it waits and who chases it.

Then we follow a few jobs from first step to last. An order to a delivery. A shift to an invoice. A client question to an answer.

Each one stalls in a predictable spot. Usually someone is reading, checking or chasing by hand. That spot comes first.

We also look at the owner's own load. Promises, decisions and relationships can slip in a crowded week. Often that's the best place to begin.

Jobs it suits

It's best at work that means a lot of reading and follows clear rules:

  • reading a stack of email and finding the few a person must see;
  • noticing a promise in a sent email and remembering when it's due;
  • comparing what came in with what was expected;
  • writing a first draft of a chase for someone to approve;
  • spotting when a pattern breaks, and calling it "worth a look".

A good assistant could do each of these with enough hours. The hours are what's missing, and that's where it pays.

Jobs it doesn't suit

  • decisions that need judgment you'd keep for yourself;
  • processes that already work;
  • problems that are really about a missing policy or hire;
  • volumes too small to justify building;
  • data that's too messy to read reliably today.

We'll tell you when AI is the wrong answer. Sometimes a checklist, a clear owner or a tool you already pay for does the job. We'd sooner say so than build something you don't need.

It stays in its lane

What we build reads and warns. A person approves every message before it's sent.

When it isn't certain, it marks the item "worth a look". It never acts in your name.

Your first conversation

You talk with one of our co-founders. It's free and lasts about an hour.

  • No access. We don't ask to see your systems or your mail.
  • No preparation. Arrive as you are.
  • The whole list. Bring every problem, not just the one that brought you here.
  • Your week, explained. Where work waits, who chases, what lands on you at night.
  • A clear answer. The jobs worth solving are named in plain words, and so are the ones that aren't.

Nobody pitches you at the end. If nothing is worth building, we tell you. If something is, you choose the next step.

What you come away with

You use AI where it counts, and leave the rest alone. Your people spend their week on the work that needs them.

Want to go through yours?

A first conversation with one of our co-founders is free. It lasts about an hour and needs no access.

Ask for a first conversation

A person replies, normally the same or next working day.