AI Consulting Company in Dubai — Strategy & Readiness
استشارات وجاهزية الذكاء الاصطناعي
AI strategy consulting: a prioritised, costed roadmap — plus an honest list of what you shouldn't automate yet.
خارطة طريق مُسعّرة ومرتّبة بالأولويات — مع قائمة صريحة بما لا ينبغي أتمتته بعد.
The problem
Leadership wants an AI plan. Six departments each want their own tool. Nobody has said out loud which of these actually pays back inside a year.
What does an AI consulting engagement with Brolly.ae produce?
An AI strategy and readiness engagement produces one agreed plan instead of six competing pilots: an opportunity audit across departments scored on value and feasibility, a data readiness review, a build-versus-buy call per use case, a costed twelve-month roadmap with owners, and a governance frame for where UAE PDPL obligations land. It takes three to four weeks and ends with an honest no-go list.
Last reviewed · Brolly.ae editorial team
AI Strategy & Readiness at a glance
| Deliverables | Opportunity audit, data readiness review, build-vs-buy per use case, 12-month roadmap with budget and owners, governance frame, no-go list |
|---|---|
| Method | Workshops, stakeholder interviews and a data audit — not a slide deck built from a template |
| Scoring | Every use case scored on value and feasibility; data readiness is where most fail, so it is assessed before any model is discussed |
| Governance | Usage policy, approval flow, and where PDPL and sector obligations applyFree-zone regimes — DIFC and ADGM — have their own data protection frameworks. |
| Timeline | 3–4 weeks |
| What happens next | The roadmap is delivered so you can run it with any vendor; Brolly.ae quotes the first pilot separately if asked |
| Pricing | Fixed price for the engagement, quoted in AED, excluding 5% VAT |
What we actually build
- Opportunity audit across departments, scored on value and feasibility
- AI readiness assessment — most AI projects fail on data, before any model is chosen
- Build-vs-buy call per use case, with real numbers
- 12-month AI strategy roadmap with sequencing, budget and owners
- Governance: usage policy, approval flow, and where UAE PDPL obligations land
- One agreed plan instead of six competing pilots
- A defensible budget ask
- Clear no-go list
We baseline these before the build starts. Without a before, the after is just a claim.
AI Strategy & Readiness: the questions buyers ask first
Short answers, written to stand on their own — including the ones with an uncomfortable answer.
Not always. If one workflow obviously costs you money and the data behind it is usable, start there and skip the strategy. The engagement earns its fee when leadership wants a plan, several departments each want their own tool, and nobody has said which of them pays back inside a year. Its job is to sequence and to say no.
Whether the data a use case depends on is complete, consistently formatted, accessible without a three-week IT ticket, and clean enough that a person could work from it; whether the real workflow has been observed; who would own the system after go-live; and what number would count as success. Most pilots that stall, stall on the first of those.
No. Each use case gets a build-versus-buy call with real numbers, and some of the answers will be a SaaS tool, an existing feature in software you already pay for, or 'not yet'. The roadmap is written so you can run it with any vendor. If you ask us to quote the first pilot, that is a separate, fixed-price phase.
As an engineering checklist: a map of the personal data each use case touches, hosting residency decided before design, human review defined for consequential decisions, logging of inputs, outputs, model version and approver, and a one-page acceptable-use policy. It is framed against the UAE PDPL and sector rules, and your counsel reviews anything that touches regulated data.
Three to four weeks. It needs the budget owner, the heads of the departments in scope, and whoever actually knows where the data lives — usually not the same person as whoever owns it on the org chart. Two workshops, a round of interviews and a data audit, then the roadmap.
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