AI for your business in Saudi Arabia: where to start without wasting money
AI is in every sales pitch now, but the question that matters is: where will it actually save my company time or money? The answer usually starts with one dull task repeated every day, not a huge project.
Uses that deliver results
Customer service in Arabic
An assistant on WhatsApp or your site answers: where's my order? What's the price? When do you open? When a question is hard, it hands over to a person. Test it in the dialect your customers actually write in, because models that are excellent in formal Arabic can stumble in everyday speech.
Searching your company's documents
Instead of an employee digging through dozens of files, they ask an internal assistant about policies, contracts or product guides, and get an answer with its source.
Extracting data from documents
Reading invoices, contracts and forms and entering them into your system. It's an excellent task to automate, with human review for uncertain cases.
Summaries and drafts
Summarising meetings and drafting replies and reports. An employee reviews and approves.
Sorting requests
Classifying messages and complaints and sending them to the right person automatically.
Where it doesn't fit
- Decisions that affect people without human review, like rejecting an application or hiring.
- Anywhere that can't tolerate mistakes. Models can give a confident, wrong answer.
- A problem that's really messy data. Sort your data first.
How to start small
- Pick one repetitive task and measure how long it takes today.
- Set a clear measure of success, like the share of questions resolved without staff.
- Try it on a small number of real cases.
- Have a person review at first.
- Work out the monthly cost, because most models are priced by usage.
- Expand only when the numbers prove the result.
Watch your customers' data
This is the point people ignore most. If an employee pastes customer details into a public AI tool, that's processing personal data, and often a transfer abroad, so the Personal Data Protection Law applies.
- Don't enter customer data or company secrets into public tools.
- Use business versions that exclude your data from training, and check the contract.
- Know where the data is processed, and read about hosting and data transfers.
- Give your company a short written usage policy.
- Tell customers when they're talking to an automated assistant.
SDAIA has published guidelines on generative AI and AI ethics principles. These are mostly non-binding guidance, while the data protection law is binding, so start there. See the PDPL checklist.
Protect the system itself
Any assistant connected to your systems needs limited permissions. Don't give it full database access, and expect people to try to trick it with cleverly written messages. The cybersecurity steps complete the picture.
Build or buy?
Start with a ready-made tool if your need is general. Build a custom solution when you need a connection to your systems, control over the data, or an Arabic experience tuned to your business.
Have a task eating your team's time? Send me the details, and I'll tell you honestly whether AI is worth it there.