AI that reaches into the systems it was never meant to touch.
Your ERP has no usable API. The portal was built for a human with a mouse. The terminal screen is older than the internet. Getting data out of systems like those — and keying it back in — is what we have done for more than three decades. The AI goes on the other end of that pipe.
Four problems we solve. Pick the one that sounds like yours — or tell us about yours, and we will automate the unautomatable.
Super-intelligent document imaging
A machine that looks at a page, knows what it is, reads what matters off it, assembles the packet, and audits its own work before it goes out. CDIA+ certified competency behind it.
See how → 02 — ERPERP wrapping & integration
Read live state out, key transactions back in, reconcile against the systems that disagree. No module licence, no upgrade project, no change to the core.
See how → 03 — HealthHealthcare systems
HL7 interfacing, Master Patient Index, document imaging. Systems that cannot go down, built by someone who has kept one running for fifteen years.
See how → 04 — LogisticsLogistics & customs
ISF filings, supply-chain security compliance, container and bill-of-lading matching, carrier portals watched around the clock.
See how →Everyone else builds AI for a blank page. We build it for the system you cannot turn off.
The hype is all greenfield — chatbots, copilots, new apps on clean data. But the systems a business actually runs on are ten, twenty, forty years old, mission-critical, and have no API. That is where the real work is, and where we have lived since 1989. The AI just goes on the far end of a pipe we already know how to build. Four rules make it safe to put on the systems that cannot fail.
- 01 — Through the glass
We read the system the way your best employee does
Through the same screen, with every business rule, validation and calculation the system has accrued over decades left intact. The data comes out literal and correct — already assembled by the system that owns it.
- 02 — Hands off the data
We never touch the files underneath
On a mission-critical system, writing to the data below the application is how disasters are born. We go through the front door, the way a person would — just faster, and around the clock.
- 03 — It compounds
Every correction becomes a permanent rule
We never fix one case by hand and move on. Each piece of feedback hardens the whole system, so it gets more correct and less needy every week.
- 04 — It shows its work
The AI explains itself; a human signs off
It reads, classifies and assembles — and audits its own work, with a stated reason for every decision — before anything irreversible goes out. You keep control of the moves that cannot be undone.
Prying open systems that fight back — since before “RPA” had a name.
The tool on the far end of the pipe keeps changing — a mainframe transaction then, a web page, a Notes agent, a large language model now. The craft never has: get the data out of the system that will not give it up, and put it where the business needs it. Plugs Technology was incorporated in 2007; the work goes back to 1989.
- 1989
IBM mainframe · CICS
First production screen integration — reading 3270 transaction screens under CICS on IBM VM, before the web existed.
- 1997
A prominent customs house broker
Put a System/36 on the web for shipment tracking — the start of a relationship now approaching three decades, today running on AI.
- 1999
Hampton Jitney
Extended a System/36 reservation system to the web — bidirectional, booking seats straight back into the midrange, when online booking itself was brand new.
- ~2000
Riverhead Building Supply
Contractor online ordering against an AS/400 custom ERP — live pricing, availability and order entry, years before B2B e-commerce was ordinary.
- Today
Nassau University Medical Center
A Master Patient Index in production fifteen years, and the next re-platforming underway — the same discipline, now with AI on the far end.
Tell us what you have been told is impossible.
A couple of sentences about the system and what you need out of it is enough to get a straight answer about whether we can do it.