Know what to build before you build it.
We help you choose the AI bets worth making, prove them against your own data, and design the governance that lets a regulated organization actually ship. That includes telling you plainly when a use case is not ready, and exactly what it would take to make it ready.
- Use-case discovery
- Data & knowledge readiness
- Governance design
- Evaluation before promises
Advice that ends in numbers, not slideware.
Our consulting is shaped by having built and operated a governed AI platform, not by having read about one.
Use-case discovery with a ranked portfolio
We sit with the people who own the process, not just the IT department. The output is a ranked portfolio: each candidate scored for value, risk, and data readiness, with an owner, a success metric, and the evidence it would need to go live.
Data and knowledge readiness audits
Most AI failures we investigate turn out to be data failures. We audit your sources for structure, ownership, lifecycle, and effective dates, then leave you a remediation plan your own team can execute, whether or not you ever hire us again.
Governance a regulator can inspect
Access models, approval gates, audit requirements, data residency, and abstention thresholds, designed on paper and then enforced in software. We work from what regulated deployments actually require, including national identity integration and personal-data law obligations.
Evaluation before commitment
Before anyone commits budget, we build an evaluation set from your real questions and measure candidate approaches against it. You get baseline numbers you can hold any vendor to. Including us.
Sovereignty and sizing decisions
On-premises or cloud, what hardware, what it costs to run, and what stays inside your perimeter. We have sized, deployed, and operated GPU environments and can put honest figures under each option.
A short engagement with a hard-edged output.
Assess
Two to four weeks with your teams and your data. We map processes, inspect sources, and interview the people who will live with the result.
Prove
A focused pilot against your own documents and questions, measured with an evaluation harness, not a demo script.
Blueprint
Architecture, governance model, delivery roadmap, and cost model, written so your own engineers can execute it.
Build or hand over
We can build it with you, or hand the blueprint to your team and stay available. Both are fine. The blueprint is yours either way.
The same bar we set for our own platform.
Deliverables you keep.
- A ranked use-case portfolio with success metrics and owners
- A data-readiness report and a remediation plan
- A governance and access blueprint designed for audit
- An evaluation baseline you can hold vendors to
- A deployment and operating-cost model for your environment
Sovereign, Arabic-first AI, ready to prove its value on-premises, in weeks.
Start with one high-value use case and measure it on real data.