AI deployments

An engineer inside your team

An engineer who joins your team, on site or remote, finds where AI pays off and stays until the system runs on its own.

A week with your engineerIllustrative example
MonStand-up & mapping
TueBuildBuild
WedOn site with opsBuild
ThuTest with usersBuild
FriDemo & weekly report
Your people · AI builds · reviews and demos

Sounds familiar?

  • Consultants who leave slides, not systems.
  • An IT team with no time for AI projects.
  • Tools nobody uses three months later.

In short

Forward deployed engineering is how the best AI companies get their technology to work inside large organisations: an engineer sits with the client, learns the work, and builds on the spot. We bring the same model to companies of every size.

Our engineer joins your meetings, uses your tools and talks to the people who do the work. The goal is not to become indispensable: it is to leave you with systems your team owns and understands.

Where it works best

Tech companies

Add AI features without pausing the roadmap to hire.

Professional firms

A first AI system built around the partners’ way of working.

Operations-heavy companies

Back-office processes rebuilt step by step.

Multi-site businesses

One engineer, consistent tools across locations.

What we build

01

Embedded engineer

Part of your team, in your meetings and tools.

02

Shipped systems

Working AI, measured against a goal.

03

Documentation

Everything written down for whoever comes next.

04

Handover

Your people learn to own and improve it.

Is it right for you?

A good fit if…
  • You need results, not recommendations
  • Your IT team is busy or small
  • People open to changing how they work
Probably not if…
  • You only need a one-off script
  • No one internal can own the result
  • You want to outsource a whole department

How it works

  1. 01

    Embed

    Access to the real tools and people.

  2. 02

    Map

    The workflows where AI saves hours.

  3. 03

    Ship

    Working AI in weeks.

  4. 04

    Hand over

    Train, document, step back.

A recent project

Cybersecurity · AI deployment

AI for the whole team

A multimillion cybersecurity company: we brought AI into the daily work of every team, from engineering to sales.

All results →

Questions

On site or remote?

Both. Usually a mix, with on-site days at the start.

How long does an engineer stay?

From a few weeks for a single project to several months for a wider programme. We agree it up front and review it every month.

Is it a fit for non-tech companies?

Especially for them: we start from the job, not the jargon.

Who does the engineer report to?

To a sponsor on your side, with a weekly update on progress and next steps.

What tools does the engineer need?

A company account, access to the relevant systems and a seat in the team’s channels.

Where would AI save your team the most hours?

Tell us about your company. We review every request and set up a discovery call when there’s a fit.

Book a discovery call