Engagement

AI Transformation

Putting AI inside the processes a business actually runs on, one at a time. The phrase has already become a consulting cliche, so here is the honest version: finding the handful of manual steps where a model genuinely returns hours, and doing those first.

First change live
4 to 8 weeks
Approach
One process at a time
Big bang
Never
Measured on
Hours returned
Your systems
Mostly kept
Who owns what

We change the process. You keep running the business.

Transformation work has to fit around an organisation that cannot stop. Most of the build becomes ours; operations stay firmly with you, because that is what we are protecting.

The fourth lane is the one no document mentions. It is also where the programme lives or dies.
The job
With ai transformation
If you deployed an FDE
Understanding what you actually need
Ours with you
FDE would
Turning it into a spec
Ours
FDE would
Deciding how the screens work
Ours
FDE would
Choosing the architecture
Ours
FDE would
Writing the code
Ours
FDE would
Reviewing what AI wrote
Ours
FDE would
Getting it into production
Your process
FDE would
Fixing it at 2am
Your rota
FDE would
Six of eight become ours. The two that do not are the ones keeping you trading.
How we run it

Nobody transforms anything in one go.

Programmes that try to put AI everywhere at once fail for the same reason every time: the exceptions. A model handles the common case on day one and meets the strange ten percent on day two, and the strange ten percent is where the business actually lives. We take one process, find its real shape by watching people do it, and change that one, while the rest keeps running.

  1. We watch before we propose

    A week sitting with the people who do the work, because the process in the document and the process in the building are different, and a model trained on the document will be wrong in ways nobody predicted.

  2. One process, chosen on cost

    Not the most impressive one to demo. The one burning the most hours, which is frequently something unglamorous nobody has mentioned.

  3. The human path stays live

    The old route stays open until the new one is boring, and the model hands back anything it is not confident about rather than guessing. Cutover happens when nobody is nervous, not on a date in a plan.

  4. Hours returned, measured

    Before and after, on the specific process, against the accuracy you agreed was good enough. If we cannot show the saving we have not finished.

Compare

Three ways to work with us. This is one.

Same bench, different shape. Pick the wrong one and you pay for coordination you did not need.

Honestly

Most AI budgets buy pilots.

Come to us when

Good fit

  • Several people spend real hours on work a model could draft and a person could check.
  • A pilot demoed well last year and still has not reached anyone’s desk.
  • A process depends on one person who is retiring or leaving.
  • You need to change how work happens, not just buy another tool.
Go elsewhere when

Poor fit

  • You want a strategy document. We build things.
  • Nobody is allowed to change the process, only the tools.
  • The organisation cannot free up the people who know how it works.
Questions

Before you book the call.

Usually not, and we will push back if that is the opening assumption. Most of the pain sits in the gaps between systems rather than in the systems themselves, and gaps are much cheaper to close than platforms are to replace.

It is designed to, and the design question is what happens next. Every process we change keeps a confidence threshold and a human path, so uncertain cases route to a person instead of becoming a silent error. We agree what accuracy is good enough before the build, measure it on your own cases, and publish the number.

By involving the people who do the work from the first week, because they are usually right about why the exceptions exist, and because a model built without them will reproduce the version of the job that only exists on paper. Resistance is nearly always accurate information arriving in an inconvenient form.

No. We work with enterprise terms that exclude training, run the sensitive paths against models that can be hosted where you need them, and write down which data reaches which provider before anything is connected.

Next step

Name the process that burns the most hours.

Thirty minutes. If the answer turns out to be a configuration change in software you already own, we will tell you that and charge you nothing.