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.
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 solutionCustomer support
Every email read, sorted and drafted in minutes, around the clock.
See the solutionOperations and supply chain
Orders, stock and forecasts from one ledger instead of six spreadsheets.
See the solutionHuman resources
Applications read, shortlisted and scheduled; policy questions answered at once.
See the solutionFinance and accounting
Invoices matched, books reconciled with myDATA, receivables chased.
See the solutionLogistics
Shipments tracked, transfers counted once, paperwork generated.
See the solutionLegal and compliance
Contracts checked against your templates, evidence files that cite what they claim.
See the solutionBuilt 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 demoALREADY RUNNING
Ten 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.
Customer support agent
156 of 156 synthetic messages routed as planted, 10 of 10 injection attempts caught with 8 of 8 benign lookalikes passed, and 0 replies sent by the agent, because the package has no send path.
HR screening assistant
360 of 360 verdicts on 60 synthetic CVs as planted, 318 of 318 protected attributes removed, and 30 of 30 matched pairs, identical qualifications with different protected attributes, given identical outcomes.
Sales assistant
24 of 24 planted unsourced claims stripped before the draft was stored, 7 of 7 floor-breaching lines refused with 0 stored below floor, and 49 of 49 overdue follow-ups found with 0 false alarms.
Logistics
264 of 264 carrier events normalised from three formats with 9 of 9 unknown codes kept and 0 guessed, 41 of 41 shipments raising exactly the planted exceptions, and 130 of 130 documents re-parsing to their rows with 0 mismatches.
HOW AN ENGAGEMENT GOES
Three steps,
no surprises.
-
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.
-
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.
-
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 ten 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.
- 10 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.
THE PRESENTATION
The whole thing,
as one document.
The same ten systems as a presentation: the problem each one solves, who pays to solve it today, how it works in four moves, and screens of it running. Every figure in it is produced by the system it describes.
Download the presentation PDF, 35 pages, 5.1 MB