AI customer service that answers on WhatsApp, web chat and the phone, and hands your team what needs a person
AI customer service is a digital employee that takes the first line of support on the company’s WhatsApp, website and phone line. It answers repeated questions from a knowledge base you approve, checks an order or ticket where the system offers an interface, opens a ticket for what it cannot solve, and passes it to the right member of staff with a summary of the conversation. It suits companies that hear the same questions every day and reply late in the evening and at peak times. Delivery usually takes 3 to 6 weeks, and projects of this kind start in the market at about SAR 20,000. You can try a live digital employee now on the /try page, and we send a written quote within 24 hours.
- Quote
- Written, within 24 hours
- Timeline
- 3 to 6 weeks
- Ownership
- The code is yours
- Delivery
- On the agreed date
On this page
- Who is this for?
- What you get
- What the first line takes, and what stays with your team
- The knowledge base: where the answers come from
- When it hands over to a person, and how
- Three channels, and the rules of each
- What it does not do, and customer data
- Try it before you decide
- How much does ai customer service cost in Saudi Arabia?
- Our commitments
- How we work with you
- Request a quote
- Frequently asked questions
Who is this for?
- Service and subscription companies whose support team answers the same questions every day
- Stores and delivery companies whose customers ask about order status, shipping and returns
- Small support teams that cannot cover evenings, holidays and peak hours
- Companies contacted on WhatsApp, the website and the phone, with conversations scattered across all three
- Managers who want to know what customers actually ask and where replies stall
What you get
One first line on three channels
One digital employee answers on WhatsApp, in the website chat window and on the phone from the same knowledge base, so the customer hears the same answer wherever they ask.
A knowledge base you approve
We build it from your customers’ questions, your policies and your product guides, and it answers from that alone. What is not there, it apologises for and hands over instead of guessing.
Opens and sorts tickets
It records the problem in detail, sorts it by type and priority, and sends it to your ticketing system where the system offers an interface, or to a simple panel the team works from.
Handover with a summary
When the customer asks for a person or a sensitive case comes up, the conversation moves to the right member of staff with what the customer said and tried, so nobody starts again.
Order and ticket status
After verifying who is asking, it reads the status of an order, ticket or subscription from your system where the system allows it, and tells the customer what comes next.
Fixed limits on decisions
Refunds, compensation and exceptions to policy stay with your staff. The digital employee explains the written policy and records the request, and promises no outcome.
Arabic dialects and English
It understands messages in Gulf dialects and standard Arabic, messages mixed with English and voice notes, and replies in the customer’s language.
Reports on questions and gaps
A panel shows the most frequent questions, what was solved automatically, what was handed over and why, and the questions it had no answer for, so you can add them yourself.
What the first line takes, and what stays with your team
In most support teams a small set of questions comes up far more than the rest: where is my order, how do I reset my password, what is the returns policy, when does my subscription end. A person who answers them one by one has no time left for the case that needs digging and a decision, and the customer who writes in the evening waits until tomorrow.
The digital employee takes that repetitive share. It answers on the spot from the knowledge base, carries out the simple actions your systems allow, and passes the rest to your team in order. The aim is not to do without support staff. It is that only work worth their time reaches them.
- Handled by the digital employee: repeated questions, order or ticket status, explaining policies, collecting the details of a problem
- Handled, then handed over: faults that need checking, refund requests, changes to account details
- Always with a person: sensitive complaints, compensation, exceptions and anything that involves a decision
The knowledge base: where the answers come from
Automated customer service is only as good as what it is fed. We start by collecting questions as your customers actually write them, from your archive of chats and tickets, then write an answer for each that someone at your company reviews. Prices, policies and time limits are kept as fixed wording the digital employee does not rephrase.
Before launch we test it on real messages it has never seen, some typed in a hurry and some with two questions in one, and give you the results to judge for yourself. Accuracy is not assumed. It is measured on your own customers’ messages. After launch, every question it had no answer for shows in the report, and you add the answer from a simple panel without waiting for a developer.
When it hands over to a person, and how
A handover is not a failure of the digital employee. It is part of the design. We write with you the list of cases that always go to a person: the customer asks for one outright, there is clear anger or a complaint, an amount of money is in dispute, the issue touches safety or privacy, or a question has come twice without being understood.
At handover the member of staff sees a short summary: who the customer is, what they want, what they were told and what details were collected. During working hours the conversation moves across directly. Outside them a ticket is opened and the customer is told plainly when to expect a reply, with no promise the team cannot keep.
Three channels, and the rules of each
WhatsApp runs through the official business interface, and it has rules. You can reply freely to a customer for a limited time after their last message. After that, a message needs a template that Meta has approved. So the digital employee sends notifications and follow-ups only to people who agreed to receive them, using approved templates, such as an update on a ticket or a request for feedback once it is closed.
On the website it appears in a chat window, where those rules do not apply. On the phone it answers in a natural voice and introduces itself as an automated assistant. If calls are recorded or transcribed, the caller is told at the start of the call. Conversations from all three channels appear in one place, so staff never ask a customer what they already said elsewhere.
What it does not do, and customer data
The digital employee does not approve a refund, promise compensation, change account details before verifying the owner, or give legal, medical or financial opinions. It explains what the written policy says and records the request. The decision stays with your staff.
Customer data is kept in a database dedicated to your project, with access limited to those entitled to it, in line with the requirements of the Saudi Personal Data Protection Law, and we collect only what the service needs. We connect to your systems where the system offers an interface. Where it does not, tickets reach the team on a panel or by email. The number, the accounts and the code belong to your company.
Try it before you decide
The demo page opens on a fictional sample business. Write it a complaint, ask something outside its remit, ask for a person halfway through, then call it. What matters is how it behaves at its limits, not on the easy questions, and everything it does shows in the system panel beside it.
Yours is built on your customers’ questions and your policies, and your support team tests it before it opens to customers. Before launch we agree what we will measure: time to first reply, what was solved without a person, and the reasons for handover.
How much does ai customer service cost in Saudi Arabia?
Indicative Saudi market ranges in SAR, not a quote.
| Scope | Typical cost | What drives the price |
|---|---|---|
| A basic digital employee (repeated questions and handover) | SAR 20,000 to 40,000 | Rises with the number of flows, languages and the size of the knowledge base. |
| A digital employee with system integrations (CRM, booking, orders) | SAR 20,000 to 80,000 to set up | Integrating existing systems and the complexity of the flows move the price most. |
| Monthly running (hosting, the AI model, follow-up) | SAR 3,000 to 8,000 a month | Excludes Meta’s fees for WhatsApp messages, paid to Meta by message type. |
We send you a written quote in SAR within 24 hours of the discovery session.
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.
Request a quote
Tell us what you need for “AI customer service” and a specialist will send a written proposal with scope, timeline and price within 24 hours.
Frequently asked questions
How much does AI customer service cost?
A basic digital employee starts in the market at about SAR 20,000 and rises with the number of channels and flows and with a ticketing or order system integration, plus a monthly running cost for hosting, the AI model and follow-up. Meta’s fees for WhatsApp messages are paid to Meta by message type. We send a written quote within 24 hours once we understand your channels and your volume of conversations.
Does it replace the customer service team?
No. It takes the repeated questions and the first line around the clock, and your team stays for the cases that need digging, a decision or empathy. What changes is the kind of work that reaches a person: fewer repetitive conversations, each with a summary ready. We agree with you at the start what always stays with staff.
What if it gives a customer wrong information?
We reduce the chance in three ways: it answers from the approved knowledge base only, it apologises and hands over when it finds no answer, and prices and policies are fixed wording it does not rephrase. Even so, no system is free of mistakes, so we test it on real messages before launch, read samples of conversations in the first weeks and correct what turns up.
Does it connect to our ticketing system or CRM?
Where the system offers an interface we connect directly, so tickets are opened there and their status is read from it. Where it does not, tickets reach the team on a simple panel or by email, or we build a system that fits you. We review your systems in the first session and tell you in writing what can be connected before any commitment.
Does it understand our customers’ dialect?
It understands Gulf dialects, standard Arabic, messages mixed with English and common typos well, though how well depends on your field and your terms. So we test it on a sample of your real customer messages before launch, add your product names and abbreviations, and set it to ask for clarification or hand over when it does not understand.
Does it send customers follow-up or feedback messages?
Yes, on WhatsApp with templates Meta has approved, and only to people who agreed to hear from you, such as an update on a ticket or a request for feedback once it is closed. It sends no marketing to anyone who has not agreed, and a customer can stop the messages whenever they like.
Does it answer phone calls too?
Yes. The voice version answers calls in a natural voice from the same knowledge base and transfers the call to a person when needed. It introduces itself as an automated assistant at the start of the call, and if calls are recorded the caller is told. You can start with WhatsApp and the website and add the phone later.
Where are customer conversations kept?
In a database dedicated to your project with defined access, in line with the requirements of the Saudi Personal Data Protection Law, and hosting in the region is available on request. We agree with you how long data is kept, and what is and is not sent to the AI model. The conversations, the accounts and the code belong to your company.
How long does it take?
Usually 3 to 6 weeks: the first week to collect the questions and build the knowledge base, then the build and integrations, then testing with the support team. The delivery date is written into the contract with on-time delivery guaranteed, 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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