We are not advisers who read about agentic AI. We designed, built and operate McLeuker AI - a multi-agent platform for fashion, running in production. That is where the consulting comes from: every recommendation is something we have already had to make work.
Four real options. This is where each one stops.
Each of these is the right answer for somebody. The line that matters is not which is best, it is which boundary you are going to run into first.
A strategy consultancy
Good at
Frames the problem, sizes the prize, and gets the board aligned. Genuinely hard work, and often the reason a programme gets funded at all.
Stops at
Hands over a deck. The system it describes still has to be built by somebody who has built one before.
A systems integrator
Good at
Ships. Knows how to land software inside an enterprise, through procurement, security review and change management.
Stops at
Wires up somebody else’s product. The fashion domain — how a BOM behaves, what a tech pack omits, why a season locks when it does — arrives as a requirements document rather than as knowledge.
Your own engineering team
Good at
Owns the outcome permanently, knows your data, and never has to be re-briefed on the business.
Stops at
Pays the whole learning curve once, in-house, on a moving frontier. The first year is spent discovering what does not work.
A generalist AI agency
Good at
Fast, current, and comfortable with the tooling. Good at demos that make the possibility concrete.
Stops at
Has no fashion context layer, so every engagement rebuilds one from scratch — and a pilot that cannot read a tech pack does not survive contact with production.
The platform is not a reference. It is the day job.
109
tools in the runtime
Not a directory listing. The registry the platform actually loads.
222
skills built
Each one a capability an agent can be handed, versioned in the platform repo.
171
of them fashion-specific
The context layer that a general-purpose agent has to be given and cannot infer.
Counted from the platform’s own manifest on 2026-08-21, not asserted. Re-run the count rather than adjusting a number by hand.
“So the advice is a route into your product.”
It would be, if there were one door. There are three, and only the middle one ends on our platform.
Diagnose
Four weeks, fixed fee
A ranked map of what is worth automating, and what is not. You can stop here.
Deploy
Thirty days onto McLeuker AI, then retained
Your operation loaded onto agents that already know the fashion domain.
Build
Twelve weeks and up, in your infrastructure, IP transferred
The architecture that runs McLeuker AI, constructed inside your own stack.
One company. Two front doors.
We are not advisers who read about agentic AI. We designed, built and operate McLeuker AI - a multi-agent platform for fashion, running in production. That is where the consulting comes from: every recommendation is something we have already had to make work.
McLeuker
LLM and agentic AI expertise for fashion. We diagnose where agents belong in your operation, design the workflow, and install it alongside your team.
mcleuker.com
McLeuker AI
The agentic AI platform we built and run for fashion brands. Your engagement ships onto it, loaded with your brand context.
mcleukerai.com
Start with the diagnostic
Four weeks, fixed fee, and a ranked map of what is worth automating. You can stop there.