Consulting

We find where AI actually pays off — then we build it

Most AI programmes stall because nobody scoped them properly. We start with an audit that names the workflows worth automating, then build and deploy the agents that do the work.

What we do

Four services. The audit is the front door.

1

AI Audit

A fixed-scope engagement that maps your workflows, scores readiness, and hands you a prioritised opportunity map with a business case attached. Every other piece of work can start here.

2

Agent implementation

We design, build and deploy the agents themselves, connected to your live tools, with human gates where the stakes need them.

3

AI adoption

Getting the tools in is the easy half. We work with your teams so the agents are actually used, and so the capability stays after we leave.

4

Token cost optimisation

For teams already running AI at volume: where the spend is going, which calls are wasted, and what to change to bring the bill down.

How we work

Audit. Design. Build. Embed.

STEP 1

Audit

We map how the work actually flows today, not how the org chart says it does.

You get

A readiness scorecard and a prioritised opportunity map

STEP 2

Design

We pick the workflows worth automating and design the agents around them.

You get

A roadmap with a business case per workflow

STEP 3

Build

We build and deploy, connected to your real tools and your real data.

You get

Working agents in production, not a prototype

STEP 4

Embed

We hand over properly, so your team can extend what we built without us.

You get

A team that owns the capability

Companies we have worked with.
Bolt
EY
Angi
Trip.com
Egon Zehnder
Mollie
Checkatrade
Blue Light Card
Ginestié Avocats
Sprints
AB Capital
Founders Keepers
Gino Legal Tech
Banco de Crédito BCP
Mantra Investment Partners
DoorFeed
Pix.City
Matrix One
JBM
The End TV
Albertine
Ocean Born Foundation
Bold Print Studios
Sproot Baby
How engagements run

Start with the audit. Everything else follows from what it finds.

Work with us if
  • You want agents running in production, not a proof of concept
  • You have workflows that repeat often enough to be worth automating
  • You would rather your team ended up owning the capability
  • You need someone senior to tell you what is not worth doing
Train with us instead if
  • You want your own people building the agents (see Training)
  • You are looking for a one-day introduction rather than a build
  • The goal is capability in the team, not a delivered system
Start here

Start with an audit.

A fixed scope, named deliverables, and a clear answer on where AI pays off in your business. If the answer is nowhere, we will tell you that too.