AI consulting · Saudi Arabia
AI consultant in Saudi Arabia for practical, Arabic-ready automation
I help Saudi businesses move from "we should use AI" to working systems: choosing the right use cases, handling Arabic and English content, keeping personal data under control, and integrating AI into the tools your team already uses.
In short
An AI consultant in Saudi Arabia helps a business identify where AI creates real value, then designs and oversees implementation. That includes accounting for Arabic language quality, personal data protection under PDPL, data residency, integration with existing systems, and measurable outcomes.
Who this is for
- Operations-heavy businesses with repetitive document, email, or WhatsApp workflows
- Customer service teams handling Arabic and English enquiries
- Product companies adding AI features to an existing app
- Leadership teams that need an AI plan grounded in real data and processes
Problems this solves
- AI pilots look impressive in demos but never reach production.
- Arabic output quality is inconsistent, especially for dialect and mixed Arabic/English text.
- Nobody is sure whether customer data can be sent to an external AI service.
- Off-the-shelf tools do not connect to your ERP, CRM, or internal systems.
Where AI usually delivers value first
The best first projects are narrow, frequent, and measurable. Examples I look for in Saudi businesses:
- Customer enquiries over WhatsApp, web chat, and email in Arabic and English, with human handover
- Extracting data from invoices, contracts, and forms, including Arabic documents
- Internal knowledge assistants over policies, product documentation, and procedures
- Drafting and summarising reports, proposals, and meeting notes, with human review
- Classification and routing of tickets, leads, and requests
Arabic is a design requirement, not a translation step
Arabic users write in Modern Standard Arabic, Gulf dialect, Arabizi, and mixed Arabic/English, often in the same conversation. Model choice, prompt design, evaluation sets, and right-to-left interfaces need to be planned around that. I test with real Arabic examples from your business before any rollout.
Personal data, residency, and governance
Under the Personal Data Protection Law (PDPL), sending personal data to external AI services, particularly outside the Kingdom, needs a deliberate decision. I design AI systems so the data flow is explicit: what is sent, where it is processed, what is stored, and who can see it. For sensitive or regulated data that can mean redaction, in-Kingdom hosting, or self-hosted models. SDAIA has also published AI ethics principles that are a useful reference for governance. Legal interpretation should come from qualified counsel.
Integration is the real work
Most AI value depends on connecting to existing systems (ERP, CRM, ticketing, document storage, WhatsApp Business) with proper permissions, logging, and fallbacks. I scope integration effort honestly so pilots are designed to reach production.
How the engagement works
- Use-case workshop. Map processes, volumes, and pain points; shortlist 2–3 use cases with clear value and acceptable risk.
- Data and risk review. Check data availability, quality, personal data exposure, and residency requirements.
- Pilot. Build a focused pilot with real Arabic/English data, success metrics, and human review.
- Production plan. Integration, monitoring, cost control, and ownership, so the pilot becomes a maintained system.
Relevant experience
Muhammad Owais Talat co-founded Locofy.ai, a design-to-code AI platform, where he led product engineering and frontend architecture. In Riyadh he leads frontend and mobile engineering at Dinar.sa and previously led a frontend team on NEOM digital platforms, so his AI work is grounded in production systems, not demos. Full profile
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Frequently asked questions
What does an AI consultant do?
An AI consultant identifies where AI can create measurable value in a business, chooses suitable models and tools, designs data handling and integration, and oversees pilots through to production. Along the way, they manage risks such as accuracy, privacy, and cost.
Can AI work well in Arabic?
Yes, but quality varies by model and task, especially for Gulf dialect and mixed Arabic/English text. The right approach is to test candidate models on real examples from your business and design evaluation and human review around the results.
Can we send customer data to ChatGPT or other AI services?
It depends on the data, the service, where it is processed, and your obligations under Saudi Arabia's Personal Data Protection Law (PDPL) and any sector rules. Options include redacting personal data, using enterprise agreements, in-Kingdom hosting, or self-hosted models. Confirm the legal position with qualified counsel.
How long does an AI pilot take?
A focused pilot on one use case is typically measured in weeks, not months, when data is accessible. Integration with production systems and governance usually takes longer than the AI component itself.