Quick answer
AI delivers clear returns today in four cases: automated customer service for repetitive questions, document processing and data extraction, smart search and recommendations in stores, and summarising and analysing internal data. Adding an AI assistant to a site or app starts around SAR 15,000. What is not yet worth it: "AI projects" with no specific problem to solve.
Market conversation about AI tends toward two extremes: hype promising to transform everything, or dismissal as a fad. Reality sits in the middle: specific cases where it saves real, measurable money, and other cases where spending is still premature.
Case 1: Customer service and repetitive questions
The clearest and fastest return. If your team answers the same twenty questions daily — prices, opening hours, order status, return policy — that work can be automated accurately.
- The critical condition: the assistant must be built on your own content (your prices, policies and documents) rather than general knowledge, or it will invent answers.
- Typical impact: 40–70% fewer repetitive messages, freeing the team for cases that genuinely need people.
- Approximate cost: from SAR 15,000 for an assistant connected to your site content, plus a variable monthly usage cost.
Case 2: Document processing and data extraction
Businesses handling invoices, contracts or paper forms spend hours on manual data entry. Modern models read the document and extract the required fields with high accuracy.
- Extracting invoice data and entering it into the accounting system.
- Reading customer orders sent as images or PDFs and turning them into structured orders.
- Summarising contracts and flagging unusual clauses for human review.
Case 3: Search and recommendations in stores
- Semantic search: a customer types "sofa that fits a small majlis" and finds suitable results instead of nothing because the words did not match literally.
- Product recommendations: suggestions based on real behaviour that raise average order value.
- Image search: very useful for spare parts, furniture and fashion where describing what you want in words is hard.
Case 4: Summarising internal data
Instead of reports few people read, a model can summarise the week's sales, flag anomalies in the numbers, and answer natural-language questions such as "which product declined this month and why?"
Use case vs return and cost
| Use case | Expected impact | Estimated cost | Timeline |
|---|---|---|---|
| Customer service assistant grounded in your content | 40–70% fewer repetitive messages | SAR 15,000 – 45,000 | 2 – 6 weeks |
| Document processing and data extraction | Hours of daily manual entry saved | SAR 30,000 – 90,000 | 4 – 10 weeks |
| Semantic search and store recommendations | Higher average order value and find rate | SAR 25,000 – 80,000 | 4 – 8 weeks |
| Internal data summarisation and analysis | Faster decisions grounded in numbers | SAR 20,000 – 60,000 | 3 – 8 weeks |
What is not worth investing in yet
- An "AI project" with no specific problem: if you cannot write the problem and its metric in one line, you are not ready.
- Critical decisions without human review: models are confidently wrong — do not hand them a financial or legal decision unreviewed.
- Building a custom model from scratch: very expensive and rarely justified. Using a ready model through an API is cheaper and better for most cases.
- Published content without review: generated content without human editing damages both your credibility and your SEO.
How to start properly
- Pick one measurable problem: "reduce repetitive WhatsApp messages by 50%" is a verifiable goal.
- Start small: a pilot within weeks, not a six-month project.
- Organise your data first: a model does not compensate for messy data — structured data is half the project.
- Keep a human in the loop: especially in the first two months, to monitor quality and correct course.
- Measure before and after: without a baseline number you will not know whether the investment worked.
At Horizon Tech we build assistants grounded in the client's own content as part of our projects — see examples in our portfolio or browse our services.
FAQ
How much does adding an AI assistant to my site cost?
From around SAR 15,000 for an assistant connected to your site content and documents, rising with integrations (linking to an order or inventory system, for example). There is also a variable monthly usage cost depending on conversation volume, which is relatively low for most sites.
Will the assistant give wrong information?
It may if built on general knowledge. The technical fix is grounding it in your own sources (your site and documents) so it answers from specific content rather than memory, and teaching it to say "I don't know" and hand off to a human when uncertain. This setup reduces errors substantially.
Is my data safe?
It depends on the architecture chosen. The system can be configured so your data is not used to train models and sensitive data stays on your servers with only what is necessary sent out. This should be written into the contract rather than assumed.
Does AI replace customer service staff?
In practice it redistributes their work more than it replaces them. It handles the simple repetitive questions that make up most messages, freeing the team for complex cases, complaints and selling — where people make a real difference.
How long does an AI project take?
An assistant connected to a site's content is usually delivered in two to six weeks. Document processing or recommendation projects take one to three months depending on data volume and quality. Starting with a small pilot is always better than a long project before feasibility is proven.
