AI solutions for business: pick the one that fixes your actual problem
AI solutions for business are systems that take over repetitive work that eats your team’s time today: answering customers on WhatsApp, your website and the phone, reading invoices and contracts, automating processes between systems, answering staff questions from company documents, analysing images and cameras, and turning data into KPIs. They suit mid-sized and large companies in Saudi Arabia and the Gulf that know where their time goes. A first solution usually takes 2 to 12 weeks depending on its type, and the cost depends on the number of flows, the systems to connect and usage volume. Try a live agent at /en/try, and we send a written quote within 24 hours.
- Quote
- Written, within 24 hours
- Timeline
- 2 to 12 weeks for the first phase, depending on the type of solution
- Ownership
- The code is yours
- Delivery
- On the agreed date
On this page
- Who is this for?
- What you get
- Start with the problem, not the technology
- Customer-facing solutions and team-facing solutions
- What makes an AI project succeed?
- Data, privacy and ownership
- How we start: a small, measurable first phase
- How to compare AI companies
- Our commitments
- How we work with you
- Frequently asked questions
Who is this for?
- Management teams hearing a lot about AI who want to know exactly where it helps their company
- Service and sales companies receiving many enquiries on WhatsApp, the phone and the website
- Finance and operations teams whose staff key in invoice, contract and order data by hand
- Companies with several systems that do not talk to each other, so data moves by copy and paste
- Factories, warehouses and retailers with cameras and data that go unused
- Managers who want their company’s numbers on one dashboard instead of waiting for Excel reports
What you get
WhatsApp AI agent
An agent on your official company number that replies in Saudi Arabic, qualifies the customer, books the appointment and hands off to staff with a summary. The closest fit if slow replies are costing you customers.
Website chatbot
An assistant that answers your website visitors from your approved information, captures interested leads and passes them to sales instead of letting them leave without contact.
Voice agent that answers calls
Takes calls in Arabic, answers, books and routes the caller. A fit for call centres, clinics and companies that miss calls outside working hours.
Workflow automation and system integration
Connects forms, email, WhatsApp, CRM and accounting into automated workflows, so data moves and alerts and approvals go out without manual work.
Document reading and data extraction
Extracts data from invoices, purchase orders, contracts and IDs in Arabic and English images and PDFs, reviews it and enters it into your system.
Internal AI assistant for staff
An assistant that answers staff from company policies, procedures and documents, and reads from your systems according to each employee’s permissions, so departments field fewer repeat questions.
Computer vision
Analyses images and cameras to count products, inspect quality, monitor safety and read plates, when the problem lies in what is seen rather than what is written.
Dashboards and business intelligence
Brings sales, inventory and operations data into one self-updating dashboard with alerts when numbers drift, so management decides on today’s figures.
Start with the problem, not the technology
Most AI projects that stall start with the question “how do we use AI?”. The ones that succeed start with a different question: where is our team losing time, or where are we losing customers? When the problem is clear and measurable, choosing the solution is easy, and judging its success after launch becomes possible.
Here is a short map linking the most common business problems to the right solution for each. Many companies find themselves in two or three lines, and that is where we start, with the highest impact and lowest complexity.
- Lots of WhatsApp messages and slow replies: a WhatsApp AI agent
- Visitors land on the website and leave without getting in touch: a website chatbot
- Missed calls and a busy phone line: a voice agent that answers calls
- Data moved by hand between systems, email and spreadsheets: workflow automation
- Invoices, contracts and documents read and keyed in by hand: document AI
- Staff asking HR, finance and IT the same questions: an internal assistant
- Quality, safety or stock that needs eyes on it: computer vision
- Decisions made on late or conflicting reports: dashboards and business intelligence
Customer-facing solutions and team-facing solutions
The solutions fall into two groups. The first faces customers directly: the WhatsApp agent, the website chatbot and the voice agent. Their return shows quickly in reply speed, qualified leads and evening and weekend coverage, but they need more care over tone and the limits of what the bot says, because customers see every mistake.
The second group serves the team internally: automation, document reading, the internal assistant, computer vision and dashboards. Their return shows in hours saved, fewer errors and faster decisions, and the risk is lower because the user is an employee who can be trained and can check the result. That is why many companies start with an internal solution to build trust, then move on to customer-facing ones.
The two groups often work together: the bot collects the customer’s request, automation logs it in the CRM and alerts the salesperson, and the dashboard shows management how many requests came in and how many closed. That connection is what turns AI from an isolated experiment into part of how the company works.
What makes an AI project succeed?
The AI model itself is now available to everyone, and the difference between a successful project and a failed one is rarely the model. It lies in the information it is fed, the rules that govern it, the systems it is connected to, and how its impact is measured.
- Approved information: answers, prices and policies reviewed by someone at your company, not generic web content
- Clear limits: what the solution handles alone, and what it always hands to a person
- System integration: a solution that cannot reach your CRM, booking or accounting system is only half a solution
- A success measure before you start: response time, share resolved automatically, hours saved or extraction accuracy
- Regular review: reading samples of conversations and results in the first weeks and improving the replies
Data, privacy and ownership
The first question an IT manager usually asks is: where does our data go? In our projects, conversations and documents are stored in a database dedicated to your project with defined permissions, we comply with the Saudi Personal Data Protection Law, and data can be hosted in the region on request. We sign a non-disclosure agreement if you wish.
The accounts, numbers and code belong to your company: the WhatsApp number, Meta account, keys and data stay in your name, so you are never locked into one provider if you want to change later. The quote explains which models we use, what is sent to them, and what never leaves your systems.
How we start: a small, measurable first phase
We do not propose a huge AI project on day one. We start with an online meeting to pin down one or two problems and agree the success measure, then build a first phase within weeks that runs on your real data. Once you see its impact yourself you decide whether to expand, and payments are tied to deliverables you see working.
If you want to judge before any meeting, try the live demo at /en/try: a chat agent and a voice agent you can question in your own words to judge their Arabic understanding and speed. We work on Saudi hours, follow up with you daily on WhatsApp, and you see progress weekly in the client portal.
How to compare AI companies
AI quotes vary enormously because the word is used for very different things, from a ready-made bot template to a system built on your processes. So ask every company to answer the same questions in writing, and compare the answers, not just the numbers.
- What specific problem will the project solve, and how will we measure success?
- Which systems will the solution connect to, and is the integration included in the price?
- What is the monthly cost after launch: hosting, model usage, channel fees such as Meta?
- Who owns the accounts, data and code, and can the solution move to another provider?
- What does the solution do when it does not know the answer? Can we test it on our data before launch?
- What support comes after launch, and who updates the information when our prices or policies change?
Our commitments
You own the code
Source code, accounts and domain are in your organisation’s name from day one.
Written scope and contract
Scope, milestones and price are agreed in writing before the first line of code.
On-time delivery, guaranteed
The delivery date is written into the contract, and we keep it at every milestone.
Fast technical support
A team that responds quickly after launch and fixes any issue in production.
How we work with you
- 1
Free discovery session
30 minutes with an engineer to understand your needs and how you work.
- 2
Written proposal within 24 hours
Clear scope, milestones, timeline and a price in SAR, with no obligation.
- 3
Contract and staged payments
You pay in stages tied to deliveries, not everything upfront.
- 4
Delivery with weekly reports
Follow progress in the client portal and review every milestone before sign-off.
- 5
Launch, training and support
We launch on schedule, train your team and stay with you with fast support.
Frequently asked questions
How much do AI solutions for business cost?
It depends on the solution: automating one process between two systems costs far less than a voice agent connected to a booking system or a computer vision project across several cameras. Basic chatbot projects on the market start from around SAR 20,000, plus a monthly running cost for hosting and model usage. We send a written quote within 24 hours once we understand the problem and the systems to connect.
Where do I start if I am not sure which solution I need?
Start with the work that repeats most and takes longest: answering enquiries, data entry or compiling reports. In a short online meeting we review these with you, rank them by impact and ease of delivery, and propose a single first phase whose result can be measured within weeks, instead of a large project with an unknown return.
Does AI understand Saudi Arabic?
Yes. Modern models understand Saudi and Gulf dialects and MSA, and handle messages mixed with English, typos and voice notes. We test every solution on real samples of your customers’ messages or your documents before launch, and add your service names, branches and industry terms so the answers are accurate and on-brand.
Does AI make up wrong answers?
It can if left without guardrails, which is why we build solutions to answer only from your approved information and to apologise and hand off to staff when they cannot find the answer. In internal solutions such as document reading, staff review uncertain results before they are approved. We read samples of conversations and results in the first weeks to improve accuracy.
Is my company’s data safe?
We store data in a database dedicated to your project with defined permissions, comply with the Saudi Personal Data Protection Law, and can host in the region on request. The quote explains what is sent to the AI model and what stays inside your systems, and we sign a non-disclosure agreement if you wish. The accounts, data and code remain your company’s property.
Can I try a solution before signing?
Yes. On our /en/try page there are live chat and voice agents you can question in your own words. Once we agree, we build a first version on your real data that you and your team test before it reaches customers, and we only move to launch after you approve the result.
Will AI replace my staff?
In most companies it does not replace them; it takes repetitive work off their plate. The bot answers recurring questions and hands the salesperson a ready lead, and document reading saves hours of manual entry so the accountant can focus on review. The usual result is that the same team serves more customers and transactions at higher quality, without extra pressure.
What is the difference between automation and AI?
Automation runs fixed steps: when a request arrives, log it in the system and send an alert. AI adds understanding: reading a message written in the customer’s own words, extracting data from a photographed invoice, or summarising a conversation. The best results come from combining the two: AI understands the input, and automation makes sure the result reaches the right place.
Do you connect the solution to our existing systems?
Yes, and it is a core part of every project. We connect solutions to CRM, booking, accounting and ERP systems, email, WhatsApp and spreadsheets through their APIs or automation tools. If you do not have a suitable system, we can build a simple one connected to the solution, such as a sales CRM or an order tracking dashboard.
How long does a first AI project take?
Automating a single process can be live within one to two weeks, a basic chatbot within 3 to 6 weeks, while computer vision projects need 6 to 12 weeks. The timeline is written into the contract with on-time delivery guaranteed, you follow progress weekly in the client portal, and we provide fast technical support after launch.
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Ready to start?
Send us your idea on WhatsApp and get a written proposal with scope, timeline and price within 24 hours.
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