AI chatbot development in Dubai

What can a WhatsApp chatbot do for your business?

Start with the part of customer conversations your team repeats every day. For each action, we define the information required, the next step and when a person takes over.

• Answer routine questions. Services, terms, appointment preparation and how your business works. Answers use agreed material kept current by your team.
• Prepare an enquiry. Clarify the service, the customer's request and how they prefer to be contacted. Pass the answers and conversation context to the responsible person.
• Help with appointments. Collect the preferred time. Where a connected schedule is in scope, check availability and the booking confirmation.
• Bring in a person. Hand over when the customer asks for a team member, the question falls outside the agreed scope or a decision requires your team.

Three possible starting points

These are illustrative workflows, not reported results from client implementations.

Appointments for a service business. A customer selects a service, asks a question and shares a preferred time. Your team receives an appointment request; confirmation depends on the agreed scheduling connection.

Enquiries after an ad. The operator clarifies what interested the visitor and what they need. The responsible team member receives a prepared enquiry and can continue the conversation with context.

Questions about a course. The operator helps find information in the programme description and collects a consultation request. Questions without an approved answer go to your team.

When to use AI and when to use rules

Service selection, required fields and the sequence of actions work well with explicit rules. AI helps process free text and find answers in company material. The same operator can combine both: a clear enquiry flow and natural-language conversation.

Languages and connections for your business

We design conversations in English, Russian and Arabic. The required languages are part of the brief and each version is tested separately. Arabic wording goes through native-speaker review before launch.

WhatsApp is the main channel for this service. Connections to your CRM, calendar and other tools are scoped after checking APIs, permissions and data structure. The proposal names the systems and fields involved so you know where the enquiry will appear and who will continue the conversation.

Six stages of chatbot development

1. Map the process. Identify common questions, the enquiry journey and the person responsible for responding. Deliverable: a process map and the scope of the first version.
2. Prepare knowledge and the conversation. Agree source material, qualifying questions and handover conditions. Deliverable: an approved conversation flow.
3. Build the operator. Configure answers, qualifying questions and actions for each agreed language. Deliverable: a flow ready to test with examples.
4. Connect the working systems. Configure the agreed data transfer and error handling. Deliverable: an enquiry path from conversation to the selected system.
5. Check it with your team. Test routine questions, language changes, unknown requests and connection failures. Deliverable: verification against agreed acceptance criteria.
6. Hand it over. Show your team how to update material and handle exceptions. Deliverable: a working guide and an agreed support arrangement.

How much does WhatsApp chatbot development cost?

Development cost depends on the conversations, source material, languages and connections. To prepare a quote, we need a description of the process, common questions and the tools you use. Anonymised conversation examples are sufficient.

Launch work: conversation design, preparation of source material, configuration, integrations, testing and handover. The quote lists the agreed scope.

Running costs: platform, messaging, AI model, hosting and agreed support. Before launch, we establish which apply, who pays them and how usage affects cost.

If the first task is to find a problem in enquiry handling, start with a marketing audit. If you already know the process to improve, discuss your chatbot.

Timing, access and project handover

We set the implementation timeline after mapping the process and checking connections. It depends on source material, tool access, language versions and approvals. Before development, we agree the stages, dependencies and responsibilities.

We also establish who owns the accounts, pays for services and receives access, settings and material. The handover guide covers updating answers, bringing in a person and responding to unavailable connections. Support scope and duration are separate items in the proposal.

Preparing for chatbot development helps you assemble the brief. The enquiry journey is useful when the problem lies between an ad and your team’s response.

How do we check the first release and assess the launch?

Before development, we agree example conversations and the expected outcome of each. We test the path through to your team receiving an enquiry, including exceptions. Acceptance checks establish whether the chatbot is ready to use; they do not establish a sales increase.

To assess the launch, we agree which measures can be collected: time to a meaningful answer, completeness of enquiries, handover reasons and flow errors. Appointment requests and confirmed bookings are counted separately. The observation period and method for collecting this information are agreed within the project.

Explore our approach before starting

Conversation demonstration. Try the language and action flow. It shows RU / EN / AR selection and restarting the conversation. This is a local concept with no AI model, WhatsApp connection, CRM or enquiry delivery attached.

Development and automation experience. In our own products, TalentHub and QR Service, BEIZ worked with accounts, roles, notifications and APIs. These are separate product cases, not reported chatbot implementation results.