AI & intelligent automation · Dubai & the UAE
AI automation in Dubai for the documents and tasks your team repeats every day
We build focused AI tools that read invoices and contracts, answer questions from your own documents and move work between your systems. A person reviews the exceptions, and every result links back to its source.
- ErrorLens, our own AI-assisted debugging and monitoring product
- A rule-based design-checking demonstrator built for a UAE public-sector authority
- A person reviews exceptions before a business record changes
- Licensed in Dubai (DED)
- Arabic and English
See the workflow
What a first document project looks like.
Both examples use synthetic data and are labelled as illustrations. Neither is presented as client results.
- Solution
AI document processing
The invoice workflow step by step: extraction, checks, the exception a person resolves, and what reaches your system.
See the document workflow - Illustrative example
From a document to a reviewed decision
How extraction, review and approval fit together in one workflow.
See the example
Sound familiar?
Where your team's time goes today.
Retyping the same documents
Invoices, forms and delivery notes are keyed in by hand, and mistakes are found at month-end.
Answers spread across drives and inboxes
Simple questions wait while someone hunts for the right contract or policy.
AI that nobody can trust
Without access rules, testing and review, a tool that looks impressive is not safe to rely on.
How it starts
One conversation, then a written scope.
- Reach out
Send a short note about the workflow you’re trying to control, then choose a time on the next screen. If no time suits, our team gets back to you as soon as possible to arrange one.
- Free 30-minute discovery call
A working session on the problem, not a pitch, in Arabic or English. If we’re not the right team for it, we say so.
- Written scope & proposal
If we fit, we confirm scope, timeline and price in a written proposal: architecture, modules, deployment and support model.
What you get
A working AI tool, plus the tests that show it works.
An integrated AI tool
A focused assistant or workflow connected to the sources and systems we agree with you.
An evaluation pack
Test cases and acceptance criteria, so quality is measured, not assumed.
Access rules
Search and actions respect the roles and permissions you set.
An operating guide and handover
Instructions and practical sessions for the people who use and maintain the tool.
Your choice of model provider
We build with Anthropic Claude and OpenAI models, chosen per project, and agree hosting with you.
Why Digital Cubic
Built around your information and your rules.
Permission-aware
Search and actions respect the roles and source permissions agreed for the system.
Human review
Confident results flow through; uncertain ones go to a person before a record changes.
Tested on your documents
We agree acceptance criteria and test on a representative sample of your real documents before anything goes live, then record failures so the tool improves after launch.
Keep reading
Before you start an AI project.
- Service
AI document and workflow automation
Use cases, review controls, evaluation and integration in more depth. - Guide
AI document automation in the UAE
Where it works, where it struggles and how to run a safe first project. - Guide
How to test AI document extraction
What to measure before you trust an extraction tool, and why one accuracy number is not enough.
Before you enquire
Questions we hear first.
What happens in the free discovery call?
We look at one workflow: how often it runs, where the information comes from, who owns the result and what constrains it. Then we agree the next step, which may be existing software, a separately scoped assessment or a bounded pilot. We don’t promise a complete architecture in a free call.
AI makes mistakes. How do we trust the output?
We design for it. Every extracted value links back to its source, rules flag values that do not add up, and uncertain results go to a person before a record changes. We test against agreed acceptance criteria before go-live.
Does it work with Arabic documents?
Yes, Arabic and English. We test extraction quality on your Arabic documents during the evaluation, because scan quality and layout matter more than the language.
What is a useful first AI project?
A bounded, frequent task with accessible source information and a clear review process, for example extracting invoice fields or finding answers in an approved policy library.
How is company information handled?
We build with established model providers such as OpenAI and Anthropic, chosen per project. The information sources, hosting and access requirements are agreed during discovery, and the design follows them rather than assuming every document can be shared with every user.
Can you connect AI to our existing systems?
We start by reviewing the available APIs, document stores, identity setup and permissions. The integration scope depends on what those systems support.
What does it cost?
There’s no public price list. We price to your scope and confirm it, with the timeline, in a written proposal after a free 30-minute discovery call.
Who owns the code?
You do, for the custom work we build for you. It is set out in the engagement agreement. Our own products stay ours.
Can you sign an NDA first?
Yes. We are happy to sign an NDA if you need one.
Can you host and run it for us?
Yes, if you choose it. We can host in-region when data residency matters, or deploy to your own cloud account instead. Operating is a separate, optional relationship.
Do you work in Arabic?
Yes. Our team works in Arabic and English, and we build bilingual systems.
Start with one workflow.
The free 30-minute discovery call looks at one task: its volume, sources, owner and constraints. You leave knowing whether the next step is existing software, a scoped assessment or a build.