AI strategy & use-case roadmap
Prioritised use cases with expected value, effort and risk — so you invest where it pays back.
AI strategy · LLM · RAG · AI agents
AI & LLM Consultant in Dubai
Practical AI strategy and implementation for companies in the UAE — from choosing the right use cases to shipping LLM-powered products, agents and copilots that are secure, compliant and measurable.
Where AI creates value quickly
- Customer-service assistants that answer from your own documents and policies.
- Internal knowledge copilots for sales, HR, legal and operations teams.
- Document processing: contracts, invoices, applications and reports.
- Personalisation and recommendations in apps and e-commerce.
- Workflow automation with AI agents that act across your systems.
- Forecasting and analytics on your operational data.
What I deliver
LLM product development
RAG systems, agents and copilots built on OpenAI, Claude or open-source models.
Architecture & integration
Secure integration with your data, APIs and existing platforms.
Governance & data protection
Guardrails, evaluation, access control and PDPL-aware data handling.
MLOps & monitoring
Tracking quality, cost and latency once AI is in production.
Team enablement
Upskilling your engineers and product team so they can own AI going forward.
How it works
- 1
Discovery call
A free 30-minute conversation about your goals and where AI could help.
- 2
AI readiness assessment
A review of your data, systems, risks and team capabilities.
- 3
Proof of value
A focused build on one high-impact use case, measured against agreed metrics.
- 4
Production & scale
Hardening, monitoring and rollout — then the next use cases on the roadmap.
AI for the UAE context
Models and patterns that work in Silicon Valley need adapting for the Gulf. I design for the region from the start.
- Arabic, English and mixed Arabic–English content in retrieval and prompts
- Data-residency and model-hosting choices that respect UAE PDPL and sector rules
- DIFC and ADGM requirements for regulated and financial-services companies
- Alignment with the UAE National AI Strategy 2031 and Dubai’s digital agenda
- Integration with regional systems, payments and identity providers
Track record
30–45%higher operational efficiency on AI-enabled platforms
LLM agentsorchestration running in production at VOYA
DBAdoctoral research in artificial intelligence
MITCTO Program and AI/GenAI education
Frequently asked questions
How much does an AI project cost in Dubai?
It depends on scope. A proof of value on one use case is a fixed-scope project; production rollouts are planned once value is proven. You receive a clear proposal after the discovery call.
Can AI work with Arabic content?
Yes. Modern LLMs handle Arabic well, and I design retrieval, prompts and evaluation for Arabic, English and mixed content.
Is our data safe with ChatGPT or other LLMs?
It can be, with the right setup: enterprise APIs that don’t train on your data, regional or private hosting where required, access controls and audit logging — designed around PDPL and your sector’s rules.
What is RAG, and do we need it?
Retrieval-augmented generation lets an LLM answer from your own documents and data instead of guessing. It’s the most common pattern for accurate business assistants and knowledge copilots.
How quickly can we see results?
A focused proof of value usually takes two to six weeks, depending on data access and scope.
Do you advise or build?
Both. I can lead the strategy and architecture, work alongside your team, or deliver the first use case end to end.
Related services
Have a product to build or a team to scale?
Tell me where you are and where you want to be. Let’s find the shortest path to get there.