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A field guide to AI for small teams

AI that fits how your team actually works.

For small teams with big ambitions. We sit with your people, find the few changes that really pay off, and build whatever's missing — at a pace you're comfortable with.

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← no jargon, promise

partnersopssalesfinancedeliveryadminHRWEEK 1MONTH 3start with oneconversation…and it spreadsFIG. 1 — AI DIFFUSION, PERSON BY PERSON
Trusted by teams like
  • David A. Fields Consulting Group
  • Lab Grown Technologies
  • Loopli
  • Younger Homes

§1 — Where you're starting from

Every team starts somewhere different.

1

“We haven't really started.”

Maybe a few people have tried ChatGPT. We'll sit with your team one-to-one, understand the work, and find where AI genuinely helps — and where it doesn't.

2

“We're dabbling, but it's not sticking.”

Some tools, some enthusiasm, not much change. We'll connect what you already use, pick the changes worth making, and help them spread across the team.

3

“It's working — we want to go much further.”

You've seen the value. We'll build it into how you work properly: deeper integrations, your know-how packaged so everyone can use it, and people building their own tools.

§2 — How it spreads

AI that reaches the whole team, not just the enthusiasts.

There's a name for this: AI diffusion — AI spreading beyond a few keen people into the everyday work of a whole organisation. It doesn't happen by buying a licence. It happens person by person.

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  1. 1

    Sit with your people

    One-to-one conversations to understand how each person actually works.

  2. 2

    Pick the few that pay off

    High-return changes, not AI on everything.

  3. 3

    Connect & build

    Wire up the tools you already have, and build what's missing.

  4. 4

    Package your know-how

    Turn how your team works into reusable AI skills everyone can use.

  5. 5

    Your team takes it further

    People start building their own tools and assets.

✎ Your security concerns set the pace. We move as fast as you're comfortable with — and no faster.

§3 — What we build

And when it needs building, we build it.

For anyone who wants the detail — this is the hands-on side of the work.

Custom connectors & integrations

When your systems don't talk to your AI tools and nothing off-the-shelf exists, we write the connector.

Packaged knowledge

Skills and plugins that put your firm's methods, templates and expertise inside the AI tools your team already uses.

Better software delivery

For software teams: bringing AI into how you plan, build, review and ship — your whole development lifecycle (SDLC).

Tools people build themselves

Setting your team up to safely create their own small tools and digital assets.

§4 — A worked example

A leading US consultancy, from zero to building their own tools.

  1. Before

    No AI use at all, on a dated Microsoft setup.

  2. Then

    A connected AI toolkit — Claude, Notion and SharePoint working together.

  3. Then

    The firm's knowledge packaged as skills and plugins anyone can pick up.

  4. Now

    Team members building their own tools and digital assets.

§5 — How we think

Rules of thumb.

  • →A few changes that pay off beat AI on everything.
  • →Your security concerns set the pace.
  • →Plain English, always.
  • →No long contracts.
  • →We build what's missing, not what's fashionable.

§6 — About

We want AI to be an equaliser for small organisations — not a threat.

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The Automiko Team
Guides & builders

Automiko was founded by Cambridge University alumni, with around 15 years of experience across software engineering, architecture, AI and technical consultancy.

We've worked with consultancies, construction companies, charities and security firms. What they share isn't an industry — it's being too small for an AI team of their own, and wanting to get it right rather than chase the hype.

Not sure where you're starting from? That's what the first chat is for.

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