AI
Applied AI
Used where it moves a number, not a slide.
The automotive industry has no shortage of AI pilots. It has a shortage of AI that took cost out of a process somebody runs every day.
We work on the second kind. That usually means less model and more plumbing: the data has to be reachable, the output has to land in a system somebody already uses, and somebody has to own the number afterwards.
What we work on
Business development
Finding and qualifying the commercial openings worth a call — partners, importers, accounts — with agents doing the scanning and the first pass, so your team only sees what survived it.
Demand and stock
Forecasting that reaches the ordering decision, with the error bars visible so nobody trusts it further than they should.
Document-heavy process
Contracts, homologation packs, warranty claims, invoices. The work that scales with headcount today and does not have to.
AI diligence
For investors: what a target's data and model stack is actually worth, and how much of the claimed advantage is a subscription somebody else could buy tomorrow.
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How a mandate runs
We start by listening, and then by mapping what actually happens today. The technology comes last, and sometimes it does not come at all.
- 01
Listen
What you need and where it costs you, asked of the people who do the work rather than read off the org chart.
- 02
Map the as-is
The process as it actually runs, step by step, with the time and the cost against each step. Most of the saving is visible here, before anything is built.
- 03
Optimise
Cut and rationalise first: what can stop, what can merge, what can be simplified. What survives that is what is worth automating.
- 04
Agentic solutions
Agents and AI on what is left, put inside the system the work already happens in, with an owner and a number to judge them by.
When people call us
- Cost has been taken out of every line except the processes nobody has ever written down.
- A back office grows headcount every time volume grows.
- An investment committee needs an AI claim checked before it is paid for.
What you get
- 01The as-is process mapped, with the time and the cost against every step
- 02What to stop doing, costed, before anything is automated
- 03The agents running inside the system the work already happens in
- 04An honest verdict when the answer is that you do not need AI for this
Start a conversation
Tell us what you have to decide
The useful first email is short and specific. A deadline helps more than a brief.
We reply to every email, as quickly as we can.
- 01The decision in front of you, in one sentence
- 02The date it has to be made by
- 03What you have already looked at
