Service Line A · AI Build
We design and build custom AI capabilities that you run in your own environment. Every build is threat-modelled before we start and security-tested before we hand it over.
What we build
Agents for defined organisational workflows, with the tools, permissions and controls agreed for the use case.
Assistants for your teams or your customers, with guardrails on what goes in and what comes out.
AI that answers from your own documents and data, with access control respected in what it retrieves.
Multi-step work such as document processing, automated with clear points for human review.
Who it is for
And for vendors who need a build partner that treats security as part of delivery, not an extra.
How a build runs
You see the design, the model choice and the running costs before you commit. Three steps cannot be passed without a signature.
Gate requires a signature to proceed.
What we need from you
AI outputs are probabilistic. No build is immune to every jailbreak, prompt injection or hallucination. Human oversight of outputs stays with you. We document these limits in the system card rather than leaving them unsaid.
We own the design we build: agent logic, guardrails and the controls we implement. You own your environment: connected data, access, configuration and monitoring. It is all written into a shared-responsibility matrix before work starts.
We will not give it ourselves. Independent assurance on our own work goes to another firm. That is the rule that keeps our testing honest.
Ways to start
Every engagement starts with a conversation about your needs and a scope agreed in writing. Each of these is a natural first step: narrow, concrete, and easy to approve.
Before a full build
Your use case, data and users; a solution design with model choice and running-cost estimate; and an early prototype you can react to.
After the first engagement
Periodic re-testing as your system or its model changes, and maintenance for systems we built.
Early. A prototype comes before the deep build, so you can redirect us while changes are still cheap, and you see regular demos throughout.
No. We security-test everything we build before handover, and that report is clearly labelled internal QA. Independent sign-off on our own work has to come from another firm, and we will help you arrange it.
The data-handling plan is part of the solution design you see before you commit. We work with sample or anonymised data where possible, act as a data processor, and sign a data-processing agreement in line with the UAE PDPL.
Yes. The system runs in your environment, and model choice is part of the design stage, where we explain the trade-offs and realistic running costs before you commit.
You receive documentation and a system card that states the known limits. Optional support covers maintenance and periodic re-testing. If something breaks, the signed shared-responsibility matrix decides who fixes which layer.
No, and we will not claim otherwise. AI outputs are probabilistic. We design and test to reduce the risk, document what remains, and keep human oversight with you.
Next step
Tell us the problem, the users and the data involved. We will tell you honestly whether we can build it well, and what it would take.
A scoping conversation first. Nothing starts until scope and limits are agreed in writing.
