DIGITAL TRANSFORMATION

AI for the work your
business already pays for.

Every department has tasks a person does by hand because nobody has automated them properly: matching invoices, answering the same email, chasing a quote, checking a contract. I build the agent that does that task, put a human in front of anything that moves money or changes a record, and show it running before you commit.

Book a demo See the six running demos

BY DEPARTMENT

Pick the department
that hurts most.

Each page below is the same shape: the problem as your team lives it, what gets built, and which of the running systems demonstrates it. Start where the manual work is.

Sales

Research, proposals and follow-ups done before the rep sits down.

See the solution

Customer support

Every email read, sorted and drafted in minutes, around the clock.

See the solution

Operations and supply chain

Orders, stock and forecasts from one ledger instead of six spreadsheets.

See the solution

Human resources

Applications read, shortlisted and scheduled; policy questions answered at once.

See the solution

Finance and accounting

Invoices matched, books reconciled with myDATA, receivables chased.

See the solution

Logistics

Shipments tracked, transfers counted once, paperwork generated.

See the solution

Legal and compliance

Contracts checked against your templates, evidence files that cite what they claim.

See the solution

Built for your workflow

Bring the task that eats the most hours. I will tell you in the call whether an agent can take it, what it would cost to run, and what it would need from you.

Book a demo

ALREADY RUNNING

Six systems you can watch
work before you buy anything.

Most AI vendors show you a deck. These are complete systems, built for real operations, and every figure on their screens is produced by the system itself. They are the demos.

Social media assistant

Sources on every claim, so nothing publishable is unattributed. A new platform is a text file, not a deployment.

myDATA reconciliation

Ten discrepancy types, classified by rule rather than by a model, so the same period gives the identical answer every run.

Agent control plane

25 of 25 attacks caught with 0 of 25 false positives, and an unmatched tool denied by default so adding a tool never silently adds a capability.

EU AI Act conformity

Zero unsourced claims as a structural gate rather than a target, and an edit made after issue is caught by the content fingerprint.

Agent commerce

Oversell, double charge and replay all refused, including across a restart, with no model call anywhere on the money path.

Retail ERP suite

On one shipment the landed cost ran 8.9% above the supplier price, which is exactly the margin a retailer loses by pricing off the invoice.

Open the demos

HOW AN ENGAGEMENT GOES

Three steps,
no surprises.

  1. 01

    Discovery call

    One conversation about where the hours go. We find the two or three tasks where an agent pays for itself in the first month, and we say no to the ones where it would not.

  2. 02

    Written blueprint

    What gets built, what it connects to, what a human still approves, and what it will cost to run per month. A document you can take to whoever signs.

  3. 03

    Pilot on your data

    The agent runs against your real records, in read-only or draft mode first. You see its work before it is allowed to act. Then it goes live, one department at a time.

YOUR DATA, YOUR RULES

Nothing leaves your machines
unless you decide it does.

The rules I put in client systems are the ones I run my own business on.

Runs where you say

On your own server or a machine in your office if that is what your data needs. My own assistant runs locally on my desk for exactly this reason.

A human before money moves

Anything that pays, files, sends or deletes is a draft until a person approves it. The agent proposes; it does not decide what has a right answer.

Every action on record

What the agent did, what it refused, and why, in a log you can open. Including the refusals, because a system that records only what it allowed cannot answer an auditor.

WHY BELIEVE ANY OF THIS

The numbers here
can be checked.

I have run e-commerce businesses in Greece for twelve years and built the systems they run on. The six demos are real code with real tests. The seven research papers publish their data and the claims that failed. Nothing on this site asks to be taken on trust.

  • 6 systems, complete and running
  • 7 research papers, with their data
  • 12 years building for businesses
  • 5 products of my own, live

Thirty minutes,
your data, no deck.

Bring the task that eats the most hours. I will tell you in the call whether an agent can take it, what it would cost to run, and what it would need from you.

Book a demo No sales team. You talk to the person who builds it.