4-11% Transformation success rate in legacy-heavy sectors
Against 26% in digitally mature industries. Fewer than 30% of transformations improve performance and sustain the gain.
Public sector · Middle East
The programmes fail for the same reason every time: they try to replace the system instead of relieving the pressure on it.
of government agencies run critical systems on COBOL, with technology averaging 20 years old.
Source: GAO-25-107795: Agencies Need to Plan for Modernizing Critical Legacy Systems
In the Gulf
Platforms in this market
Rules that apply here
We read the rule before the call. It is the cheapest way to prove we did the work.
What is happening
Against 26% in digitally mature industries. Fewer than 30% of transformations improve performance and sustain the gain.
Not from lack of intent. From procurement cycles, fragmented regulation and systems nobody can safely touch.
Because the effort addresses the visible queue rather than the process that generates it.
Fragmented, hard to navigate rules favour vendors who are good at bidding over vendors who are good at delivering.
However hard, whatever it is
We wrote this about reading a legacy system of record. If yours is a service nobody can complete online, or a queue nobody can see, same method.
01 Days where the work happens, not a workshop in a meeting room. We watch the job get done and write down the shortcuts nobody wrote down.
02 Your data, your rules, your vendors and their documentation, and the published research on your sector. We report what is actually in there.
03 Not which tool fixes this. What is actually causing it, taken apart until we reach the piece that cannot be divided further.
04 Weeks, not quarters. By this point we are not guessing what to build, and guessing is the thing that makes projects long.
Where we sit
What you get
Built new for you — none of this exists in your stack today
What you already run — unchanged, and still yours
If the mainframe knows it, we can get it out. COBOL copybooks, a green screen, a printed report, a scanned form. All of it can be reached.
No API
No documentation
A terminal from 1994
It arrives as paper
The vendor said no
It reports nothing Not a list of limits. Name yours on the call.
And once we can reach it, a model can read it. Most of the value here is in the sources nobody ever structured — the note, the letter, the screen.
Intelligence, plumbed in
Underneath: a one-way read of the mainframe, a copybook mapped to plain fields, and an accuracy figure you can publish.
How we make AI survive real data
Connectors
A semantic layer
Evals you can check What changes
No rip-out The legacy system keeps doing what it does. We build the access, reporting and workflow layer around it, and that takes months, not years.
Backlog Because the work targets the generating process, with the measurement in place to prove it held.
Auditable Which is a requirement here, not a feature — and far easier to build in than to retrofit.
Who this is for
Director of Digital
Chief Information Officer
Programme Director
Head of Service Delivery
Procurement Lead Straight answers
Yes, and that is usually the right constraint. We read from it — through extracts, APIs or a replica — and build alongside. Not touching the core is what makes the timeline realistic and the risk acceptable.
We scope to fit inside your thresholds where that makes sense. We start small, so value is proven before you commit further. And we produce the paperwork your process needs without treating it as a nuisance.
Most attempt replacement. The replacement is specified against today's understanding, takes three years, and meets a changed world. Relieving pressure on the existing system delivers value in months and does not require anyone to bet a service on a migration.
Yes. A screen or a printed report is enough. We publish the accuracy figure, so the desk knows exactly how far to trust it.
For government that means the UAE Digital Government strategy, Saudi DGA standards and data residency rules. We read the rule before the call, so the first meeting is about your operation rather than about us catching up.
What you already run stays where it is. Around it we build software, hardware and the process itself. Here that means a form a citizen can finish on a phone in one sitting.
See everything we build
Software
Hardware
Ways of working
Whole ventures Honest about the numbers
We have not localised it, because a number nobody can check is worth less than a real one plus this sentence. The pattern travels. The size of it in your market is a question for the call.
Same industry, other markets