From licences bought to Claude used well.

A structured programme that gets Claude doing real work across every team, with the standards and habits that keep it working.

5 to 15%

of the AI licences most teams pay for are in regular use.

We change that, and agree how we will measure it before we start.

How we work with you, in three stages.

Find where Claude earns its keep, and where it does not.

We review how your teams use AI today and what that spend is returning. Then we map the processes it has not reached yet: the recurring, manual work where Claude would save the most time, and with it the most cost.

You getA costed plan, ranked by return: which processes to tackle first, the hours each one takes today, measured with your team, and the time each could save. A baseline exists before anything is built.

assessment/plan.mdExample

Where Claude pays off first

  1. Proposals and statements of workWritten from scratch every time. Start here.
  2. The monthly board packHours of copying between four systems.
  3. Client onboarding emailsHigh volume, low risk.

Not yetContract reviewNeeds sign-off on data handling first.

Ship it to production, inside your security and compliance boundary.

We build what the plan calls for, inside your existing policies, with clear rules for what Claude can see and do.

You getClaude working your way: your standards built in once, so the work comes back right whoever does it.

What we build

  • Agent Skills

    Your style, formats and rules built into Claude once, so every draft comes back right.

    Built on: Agent Skills / Claude Projects / Custom Instructions

  • Workflow Automation

    Repetitive, multi-step processes run end to end, with a person signing off where it matters.

    Built on: n8n / Claude API / MCP / Webhooks

  • Build & Govern on the Claude Platform

    Custom builds on the Claude API, connected to your systems, with cost and quality kept under control.

    Built on: Claude API / MCP / Evaluations / Prompt Caching

Run it yourselves, or have us run it for you.

We get every team using Claude on real work, train in-house champions, document how everything is set up and measure the time again against the baseline. Then you decide who runs it from here.

You getThe choice of who runs it. Your team carries on without us, or we stay on and take care of all of it: running, maintaining and improving it for you. Either way, you are never locked in.

How it sticks

  • AI Fluency & Adoption

    Practical training for every role, so use spreads past the early adopters and holds.

    Built on: AI Fluency / Role-Based Training / Change Management

  • Cowork & Ways of Working

    Claude working directly on your files and projects, like a teammate that does the task, not just a chat box.

    Built on: Cowork / Artifacts / Projects / Research

The return, in hours. Measured, not claimed.

  1. Before

    In Assess, the people who do the work tell us how long the last instance of each task took. That gives every process a baseline, in hours.

  2. After

    We ask the same people the same questions twice: at go-live, then again in Enable, once the new habits have settled.

  3. The difference

    Hours back on each process, costed at your own rates, in a report you can put in front of your board.

measurement/report.mdExample
Hours a month, by task
TaskBeforeAt go-liveIn Enable
Proposals and statements of work14 h8 h6 h
The monthly board pack9.5 h6 h4.5 h
Client onboarding emails6 h2.5 h2 h
Hours back each month17 h

Costed at your own rates, for the board.

See where Claude would pay off. Start with an assessment.

Tell us how your teams use Claude today, or whether they use it at all. We will show you where it can save real time, and where your AI spend is going to waste.