AI Readiness Audit
We assess your data, systems and team to score where you actually stand before recommending anything.

We audit your operations, prioritize the AI use cases with real ROI, and hand you a roadmap your team can actually execute — or build it with you end to end.
Production-grade ai consulting, engineered and shipped by one accountable team.
We assess your data, systems and team to score where you actually stand before recommending anything.
Every candidate AI use case scored on ROI, feasibility and time-to-value, not hype.
A phased, budgeted roadmap with clear milestones your board can approve and your team can run.
Data privacy, PDPL and regulatory guardrails built into the plan from day one, not bolted on after.
Honest recommendations on custom builds vs. off-the-shelf tools, scoped to your actual constraints.
Board-ready briefings and internal training so leadership can champion the plan with confidence.
A transparent, low-risk path — validated on your data before you commit.
We map your data, systems, workflows and team capability to establish a real AI-readiness baseline.
We identify and rank every viable AI use case by ROI, effort and risk, cutting the list to what's worth doing.
We turn the shortlist into a phased roadmap with budget, timeline and success metrics ready for sign-off.
We build the prioritized use cases ourselves, or equip your team to run the roadmap independently.
Engagements are scoped to the size of the audit and roadmap — a focused readiness audit and use-case roadmap typically runs weeks, not months. We quote a fixed scope after an initial discovery call, no open-ended hourly billing.
Yes. Consulting and delivery are separate engagements. Many clients start with a readiness audit and roadmap alone, then decide separately whether to build with us or their own team.
Regulatory fluency (PDPL, sector-specific compliance), native Arabic-language capability, and delivery experience across GCC industries — not a global playbook adapted after the fact. We're built around how business actually works in this region.
Both. We're vendor-neutral in the audit phase, but if you want one accountable team from strategy through to production, we deliver the full build ourselves rather than handing you off.
Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.
Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.
Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.
Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.
Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.
No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.
Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.
Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.
Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.
120+ teams shipped across 6 industries
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