Before you spend on AI, get a governed plan: where it pays off, where the data risk sits, and what to build first.
AED 12.5K–20K
Price
2-3 weeks
Timeline
The UAE AI Readiness Audit is the entry point to working with DVNC. Over 2-3 weeks we map your real workflows — the WhatsApp threads, CRM records, email chains, and spreadsheets your team runs the business on — and turn them into a use-case map, a data-risk view, a governance-aware gap list, and a costed 90-day implementation roadmap. You leave with a clear first build to commission, a tool and vendor read, and a plan you can defend to partners, regulators, and your own team. It is built for operators who want a governed plan before they spend, not a slide deck of AI possibilities.
Lead, client, and deal workflows across CRM, WhatsApp, email, and spreadsheets
Data sensitivity and where personal, client, or financial records move
Current AI and SaaS tooling and the vendors you are considering
Manual handoffs and repetitive admin ripe for automation
Governance posture: approvals, audit trails, and risk documentation
Bilingual EN/AR touch-points where they carry operational or compliance weight
Most AI projects in the UAE stall not because the technology is weak but because nobody mapped the real workflow before buying a tool. The work actually runs on WhatsApp threads, email chains, and a few critical spreadsheets — and that is exactly where the data risk and the automation opportunity both live. Spend two to three weeks getting the picture right and you avoid the far more expensive mistake of shipping AI into a process you did not fully understand.
We sit inside your real operation — the CRM, the WhatsApp and email flows, the spreadsheets, the handoffs between people — and document how work actually moves, not how the org chart says it should.
Your core workflows end to end, including the steps that live outside any system
The tools and vendors you use today and the ones you are weighing
Where personal, client, or financial data is created, stored, and shared
Your current governance posture: who approves what, and what gets logged
Before naming a single AI use case, we map where your sensitive data lives and how it moves. We flag the points where AI use would touch personal, client, or financial records, and describe the exposure in PDPL-aware, data-protection-aware terms an operator can act on — not legal language. This is a risk view to help you decide and design; it is not legal advice or a compliance certification.
Every candidate use case goes on the map — drafting and triage, RAG knowledge assistants over your own documents, automation of repetitive handoffs, internal dashboards — scored on impact, effort, and data sensitivity. The output is a ranked list, not a wish list, so the priority order is clear before any budget moves.
Where automation removes manual re-keying, copy-paste, and follow-up chasing
Where a RAG assistant over your own documents saves real hours
Where a dashboard turns scattered data into something leadership can monitor
Where bilingual EN/AR handling is an operational requirement, not a nice-to-have
We list the governance gaps to close before AI touches a live workflow: missing human-approval steps, absent audit trails, and undocumented risk on the decisions AI would influence. The aim is governance-aware AI you can defend to partners and regulators — the human approval workflows, audit trails, and risk documentation that make a deployment safe to run. DVNC documents these gaps and recommends operational controls; we do not certify your AI, guarantee compliance, or provide legal advice.
Findings become a phased, costed plan. The roadmap names what gets built, in what order, by whom, and at what AED cost across the first 90 days — sequenced so the highest-return, lowest-risk work ships first and each phase earns the right to the next.
The audit ends with a clear recommended first build and a path to delivery. You can take the roadmap and execute it with your own team, or commission DVNC to build — typically starting with one of our productized services such as AI Workflow Automation, a RAG Knowledge Assistant, or an AI Ops Dashboard. Whichever you choose, the audit fee is credited toward your first DVNC build commissioned within 60 days.
Real-estate brokerage
A RERA-licensed brokerage running leads across Bayut, Property Finder, WhatsApp, and a CRM gets its pipeline mapped, listing-content data risks flagged, and a first build named — typically inquiry triage or viewing follow-up automation.
Clinic or clinic group
A clinic with intake, scheduling, and claims spread across an EMR, spreadsheets, and patient WhatsApp gets a workflow map, data-protection-aware notes on patient data, and a costed first automation.
Fund or financial operations team
A DIFC or ADGM-based team gets its reporting and operations workflows mapped, vendor risk read, and the governance gaps documented before any AI touches investor or financial data.
Multi-tool operator with vendor confusion
A founder weighing four AI vendors and unsure which is safe for sensitive data gets a clear tool and vendor review, a ranked use-case map, and one first build to commission with confidence.
AI use-case map — every candidate use case across your business, scored on impact, effort, and data sensitivity, so the priority order is obvious
Workflow map — your real processes documented end to end, including the WhatsApp, email, and spreadsheet steps that never made it into the CRM
Data-risk notes — where personal, client, or financial data moves, where it is exposed, and what AI use of it would mean in PDPL-aware terms
Tool and vendor review — a read on your current stack plus a shortlist of AI tools and vendors that fit your data sensitivity and budget, with monthly AED costs
Automation opportunity list — the manual handoffs (re-keying, copy-paste, follow-up chasing) that automation can remove first, with rough hours saved
Governance gap list — the human-approval, audit-trail, and risk-documentation gaps to close before AI touches a real workflow
90-day implementation roadmap — a phased plan naming what gets built, in what order, by whom, and at what AED cost
Recommended first build — one named, scoped, and costed build to commission immediately, chosen for fastest defensible return
Readout call — a 90-minute session walking leadership through findings, the roadmap, and the first-build decision, plus a 30-day Q&A window
UAE and GCC founders and operators planning real AI work — not a pilot for the deck, but systems that go into production
Companies with sensitive workflows and vendor confusion — patient, client, deal, or financial data spread across tools and unsure which AI vendors are safe to trust with it
Teams that need a governed plan before they spend — leadership that wants the use cases, the data risks, and the first build named and costed before signing anything
DVNC is an AI implementation firm, not a law firm. The AI Readiness Audit produces an operational risk view and governance-aware recommendations to help you plan and build responsibly. It does not constitute legal advice, does not certify your AI, and does not guarantee compliance with any UAE or DIFC regulation. For legal interpretation, engage qualified counsel.
Build logs, working systems, and field notes from running a portfolio of AI ventures. Sent weekly, never more.