Work

One workflow. Rebuilt so AI produces usable work and your team keeps control.

We help you choose what to build, put it into production, or get an existing system working reliably with your team.

Looking down on an open-plan office: teams at their desks and a small group around a table

Have a workflow in mind? Check it is ready and estimate the time recovered before deciding.

Why useful tools still struggle to become everyday systems

You can build a prototype in a week. Getting it into daily use often takes a quarter.

It still needs the right information, a place in the team’s workflow, clear responsibilities, and a way to judge its results. We work through these as part of delivery.

What Work does
  • We choose one workflow with you where the friction is obvious and the volume is real. We rebuild it so the system executes within defined authority, required evidence travels with each action, and exceptions escalate to the right person. Accepted, rejected, and corrected work becomes structured feedback that improves the system.
  • One workflow. Run to production. Measured. Then the next one.
  • We do not sell AI pilots. We build controlled systems that produce usable work.
Agreeing how the system should operate
  • Define what it can do independently and what requires approval.
  • Identify the sources and records needed to check its work.
  • Assign responsibility for exceptions and failures.
  • Test against agreed quality criteria before extending its scope.
  • Give your team a clear way to review and improve it.

Control is not a feature we add at the end. It is how the system is built.

Start with the constraint you have

Three standalone entry points. None depends on the other.

  • Decide what is worth doing. You see an opportunity but need to understand where to start. We examine the work, the constraints, and what success would mean. You leave with a recommendation, a defined scope, and the criteria for deciding whether to proceed. The recommendation may be to build, improve an existing system, or stop.

    Start with a diagnosis
  • Put a working system into production. You have a business problem to solve. We agree the scope and success criteria, build with your team, and deploy into real use. Delivery is assessed against the criteria we agreed together. The deployment milestone only invoices if it ships.

    Start a build
  • Make an existing system part of daily work. You have a prototype or system that your team cannot yet run confidently. We address the gaps, establish responsibilities, and help the team manage reviews, exceptions, and improvements. The aim is a system your team can operate without depending on us.

    Talk about embedding
Two colleagues mapping the work on paper: hands, a pen and coloured cards
Where this works

01

Sales prospecting.

Target accounts researched, scored, drafted and reviewed with evidence attached, so sellers spend their time selling, not researching.

02

Support triage.

Tickets classified, summarized, drafted and escalated by your rules, so the team can spend more time on the cases that need judgment.

03

Reporting.

Weekly packs assembled from source material, with changes, risks and open decisions highlighted, so the meeting starts at the decision.

04

Client briefing.

Account history, risks and next actions ready before the meeting, so nobody walks in cold.

05

Internal knowledge.

Answers from approved documents with sources attached, and escalation when evidence is missing, so routine questions depend less on the same few experts.

If your workflow is not on this list, that is what Diagnose is for.

What a successful engagement leaves you with
  • From Diagnose: a clear investment decision.
  • From Build: a system in production.
  • From Embed: an existing system your team can run.

Before work begins, we agree the intended result, the scope, the responsibilities on both sides, the evidence we will use to assess success, and the conditions for continuing or stopping.

What we will never sell you

A prompt library. A workshop with nothing built at the end. An AI strategy that ends without a decision.

Pick the workflow that is eating your team. We'll take it from there.

Already leading AI work and looking to compare experience with peers?