AI Consulting

The work nobody
should be doing twice.

Every business has it: the same file opened, the same numbers retyped, the same email written for the four-hundredth time. We help companies hand that work to AI — and then keep going, as far up as it makes sense to go.

Talk to us about your process How far it goes →
What we do

Four ways AI earns its keep.

We are not here to run a workshop and leave you with slides. We work on the actual tasks your people do, and we build what is missing.

01
Daily tasks
The repetitive work that quietly eats the week — sorting, checking, copying, replying, reporting. We find it, measure what it really costs you, and take it off your team's desk.
02
Transitions
Getting from the way it works now to the way it should work is the hard part. We plan the change, run it alongside the old process until it holds, and bring your people with us instead of around them.
03
Data extraction
Invoices, certificates, delivery notes, scanned PDFs, photos from the yard, twenty years of spreadsheets. We turn the documents you already have into data you can actually use — processed by a local model, so none of it leaves for a public AI service.
04
Tailored solutions
When nothing off the shelf fits, we build it. Software shaped around how your business actually runs — not a platform you have to reshape yourself around.
Your data stays yours

A local model, not a public AI service.

The documents that are worth automating are usually the ones you least want to hand to someone else: contracts, prices, customer records, certificates. So we run customer data through a locally operated language model. It does not go to a public AI provider, and it does not end up training anyone else's model.

  • Customer data processed by a local LLM
  • Not sent to public cloud AI services
  • Never used to train third-party models
How far it goes

Start with one task. Or replace the whole function.

Most companies start small, prove it works, and then go further. You decide where on this scale you want to stop.

Level 01
One repetitive task
A single job, automated properly. The weekly report that writes itself, the inbox that sorts and answers itself, the spreadsheet that stops being maintained by hand. Small, quick to prove, and usually the thing that convinces the rest of the company.
Level 02
Software around the workflow
Once one task works, the process around it is usually next. A tool your team actually opens every morning, built for your workflow, with the AI doing the reading, sorting and drafting underneath. This is the level most of our own products live at.
Level 03
An operating system for the function
The full step: a system that carries a senior role's worth of work — taking in what arrives, deciding what matters, doing the routine part end to end, and escalating only what genuinely needs a human. Fewer people doing repetitive work, the ones you keep doing the work only people can do.
Who it is for

Any industry with a repetitive Tuesday.

Our own products started in steel — tube counting, inventory, certificates, quality audits — so we know what a shop floor and a back office look like when the two do not talk to each other.

But nothing about this is specific to steel. If your business has work that happens the same way every week, it is work AI can take. The industry changes; the repetition does not.

Steel & metals Manufacturing Logistics Construction Property management Wholesale & trade Professional services Quality & compliance Finance & admin …and yours
How we work

You pay when you are happy with it.

Four steps, always in this order. We review, build and present first. Only if you are happy with what you see do we deliver it — and that is when we get paid.

01 · Review
We look at the actual week
Not the process diagram — the real one. What your people open, retype and chase, and how many hours of it there are. If we find nothing worth automating, we will say so.
02 · Build
We build the solution
Against your real documents and your real workflow, with customer data processed by our local model — not a demo on sample data.
03 · Present
We show it working
On your own cases, before anything is handed over. You see exactly what it does, and what it does not, before you commit to it.
04 · Deliver
Happy? Then we deliver
We deliver once you are happy with what we presented, and that is when we get paid. Then you decide whether to take the next step up.

What would you stop doing by hand?

Tell us the task that annoys your team most. If AI can take it, we will say how. If it cannot, we will say that instead — a real person answers every email.

legal@siyaya-digital.com All contact details →