AI Chatbot and WhatsApp Assistant Development Services
AI chatbots and WhatsApp assistants that answer customers in Greek and English from your own systems
ZingZee designs, builds, and operates AI chatbot and WhatsApp assistant services for Cyprus businesses whose customers ask the same questions all day on WhatsApp, on the website, and by email. Each assistant answers from the company's own bookings, orders, prices, and policies, hands the conversation to a named member of staff when a person is needed, and is delivered through the five-phase framework.
What an AI chatbot or WhatsApp assistant is
An AI chatbot is a language model connected to a company's own records and placed in the channels its customers already use: a chat window on the website, a WhatsApp Business number, Instagram and Facebook messages, or the email inbox.
A WhatsApp assistant is the same system answering on the company's WhatsApp number, where most customers in Cyprus already message the businesses they buy from. ZingZee's AI chatbot development services cover the conversation design, the connections to the booking, order, and stock systems the assistant reads, the handover to staff, and the operation of the assistant after go-live. Language handling covers Greek, English, and the mix of Greek and Latin script that customers type. The assistant answers with the company's real prices, availability, opening hours, and terms, and it says so plainly when a question needs a person. For a business owner, the result is a reply within seconds at any hour, fewer repeat messages for the team to answer by hand, and a written record of every conversation.
AI chatbots and WhatsApp assistants that answer customers in Greek and English from your own systems
Industries where ZingZee applies AI chatbots and messaging assistants
ZingZee has applied conversational AI services in travel and hospitality, where guest messages on a villa rental platform are classified and reply drafts are prepared from the booking record for staff to send; in insurance, where a commercial broker's account handlers ask questions of policy wordings and receive answers with the clause cited; and in distribution, where customer orders arriving by email, chat, attachment, and photo are read into structured order lines for the ERP. The same pattern is offered to retailers, clinics, property managers, restaurants, tour operators, and professional services firms in Cyprus and abroad whose customers expect a fast reply on WhatsApp, regardless of size.
AI chatbot and WhatsApp assistant services ZingZee provides
Conversation design and channel setup
ZingZee reads a sample of the company's real messages, groups them by intent, and writes the conversation flows, the tone, and the rules for when a person takes over. ZingZee's team sets up the WhatsApp Business number, the website chat window, and the social inboxes, so every channel reaches the same assistant.
Greek and English language handling
ZingZee builds the assistant to understand Greek, English, and Greek typed in Latin letters, and to reply in the language the customer used. Product names, place names, and the company's own terms are added to the vocabulary, so the assistant recognises them however a customer spells them.
Connections to bookings, orders, and stock
ZingZee connects the assistant to the booking system, the online shop, the ERP, or the CRM, so it answers questions about availability, an order's status, or a booking's details from live records. Where the client approves, the assistant also creates enquiries, holds, and appointments, with each action logged.
Staff handover and shared inbox
ZingZee gives the team one inbox where every conversation is visible, with the assistant's draft replies, the customer's history, and a button to take over. Messages that need a person are routed to the right member of staff by topic, language, or opening hours, with the full conversation attached.
Operation, evaluation, and improvement
ZingZee re-runs a fixed set of real customer questions with approved answers on every change to the prompts, the data, or the model. After go-live, ZingZee's team reviews unanswered and handed-over conversations each month, adds the missing answers, and reports response times, resolution rates, and cost.
When an AI chatbot is
the right choice.
When an AI chatbot is the right choice
An AI chatbot is the right choice when a business receives a steady volume of messages that repeat: opening hours, prices, availability, delivery areas, booking changes, order status, and directions. It is the right choice for a company whose customers already write on WhatsApp and expect an answer the same evening. Typical examples include a villa rental operator with guests arriving at night, a shop with delivery questions, a clinic with appointment requests, and a service business taking quotes. It suits a team that answers in two languages and spends time translating, because the assistant replies in the language the customer used. It suits a company that wants to qualify enquiries before a salesperson calls, since the assistant collects the details the team needs and books the call. ZingZee's strategic assessment measures the message volume, the share of questions that repeat, and the systems that hold the answers before any assistant is proposed.
When an AI chatbot is the wrong choice
An AI chatbot is the wrong choice when the business receives a handful of messages a week, because a shared inbox and a set of saved replies do the same job for no build cost. It is the wrong choice when the answers customers need are not written down anywhere or change by the hour without a system recording them, since an assistant can only be as accurate as the source it reads. The fix is to put prices, stock, or availability into a system first, which ZingZee scopes as its own piece of work. It is also the wrong choice for conversations that are mostly complaints, negotiations, or sensitive personal matters, where customers expect a person from the first message and an automated reply harms the relationship with the company. ZingZee's assessment states which case applies, in writing, before any build is quoted.
Use cases
A villa or hotel guest asks on WhatsApp for the check-in time, the Wi-Fi password, or directions, and the assistant answers from the booking record and the property guide at any hour, so the night staff handle only the issues that need a person.
A shop customer asks where an order is, and the assistant reads the order and the courier status and replies with the expected delivery date. Staff no longer search the order system to answer each status question.
The assistant asks a new enquiry for the details the sales team needs, such as the service, the budget, the location, and the timing, then offers the next free slot in the calendar and sends the summary to the salesperson.
A clinic, salon, or service business lets customers request, move, or cancel an appointment on WhatsApp. The assistant checks the calendar, confirms the slot, and sends a reminder the day before.
For messages where the business wants a person to send the final word, the assistant reads the message and the customer record and drafts the reply in the right language. Staff approve, edit, or rewrite the draft, and every reply matches the terms the customer was sold.
AI chatbot engagement scope
Deliverables
A working AI chatbot on the agreed channels, the connections to the systems it reads, the shared staff inbox, the handover rules, the evaluation set with approved answers, and the conversation log, in daily use by the client's customers and staff at the end of the engagement.
Deliverables
A working AI chatbot on the agreed channels, the connections to the systems it reads, the shared staff inbox, the handover rules, the evaluation set with approved answers, and the conversation log, in daily use by the client's customers and staff at the end of the engagement.
Included as standard
Greek and English replies, conversation design from the client's real messages, handover to staff with the full history, opening-hours rules, a monthly review of unanswered questions, monitoring of response times and cost, and a recorded handover to the team that will run the assistant.
Environments and hosting
ZingZee provisions a test and a production deployment, on its own servers in Cyprus or in the client's cloud account, and runs both until handover. The WhatsApp Business account, the phone number, and any cloud contract are held in the client's name.
Priced separately
Additional channels after the agreed first set, voice calls, outbound marketing campaigns on WhatsApp, payments inside the chat, and new system connections after the first release are scoped and quoted as their own items.
What the client provides
A sample of real customer messages, the current prices, policies, and opening hours, access to the systems the assistant reads, the business verification documents WhatsApp requires, the staff who will take over conversations, and a person who approves each release.
Outside the engagement
WhatsApp conversation charges billed by Meta, cloud subscriptions, model usage fees where a hosted model is chosen, and legal review of the privacy notice are the client's to hold. ZingZee specifies each item and connects it once it is in place.
AI chatbot and WhatsApp assistant tooling
ZingZee builds every AI chatbot and WhatsApp assistant on the same set of tools, so a client who reads about one deployment can expect the same on the next. The tooling covers:
- The WhatsApp Business Platform through the official Cloud API, with templates approved under the client's own business account
- A website chat window built into the client's site, with the same assistant behind it
- Language models served on ZingZee's own GPU servers in Cyprus, or a hosted model where the client chooses one
- Python services for conversation handling, retrieval, and tool calls, with every message and answer logged
- Postgres for the conversation log, the evaluation set, and the handover queue
- Typed connections to the booking, shop, ERP, CRM, and calendar systems the assistant reads
How an AI chatbot project with ZingZee runs
An AI chatbot project with ZingZee runs through the five-phase delivery framework. The strategic assessment reads a sample of real customer messages, measures the volume and the share of questions that repeat, lists the systems that hold the answers, and builds the evaluation set from real questions with approved answers. The AI roadmap fixes which channels, which questions, and which system connections come first, with a target for the share of conversations the assistant resolves without a person. Integration and deployment sets up the WhatsApp number and the website chat, connects the booking, order, or stock systems, and re-runs the evaluation set before the assistant answers a single customer. Adoption and enablement trains the staff who take over conversations and the person who maintains the answers, with written guidance on what the assistant will and will not answer. Governance, optimisation and scale reviews unanswered and handed-over conversations each month, adds new answers and channels, and reviews cost and accuracy as the volume grows. Each phase opens with a scoping workshop and closes with a hardening workshop, where the assistant is tested against the evaluation set, and a delivery workshop, where staff use the release and sign it off.
Strategic assessment
We assess how the business operates today: its processes, its data and the systems it runs on. From that we identify the use cases with the highest return and confirm the organisation is ready to adopt them, so the programme starts from a defined baseline.
AI roadmap
Findings become a phased roadmap that balances early wins with the longer build. ZingZee sets the milestones, the resourcing and the governance that keep delivery on schedule and aligned to business objectives.
Integration and deployment
Our engineers develop, validate and deploy the solution into your production environment, integrated with the enterprise systems you already run and sized for the workloads it will carry.
Adoption and enablement
Enablement programmes prepare business users and technical teams to work with the new capability, and structured change management ensures the organisation captures the full value of what has been deployed.
Governance, optimisation and scale
Ongoing governance, monitoring and optimisation keep the solution accurate, compliant and performing. Proven solutions are then scaled across departments and regions under the same data governance standards.
AI chatbot engineering practices
Every reply the assistant sends is traceable to the records it read, the instructions it received, and the model version that produced it, and the trace is kept in the conversation log. The assistant only states prices, availability, and terms that come from the client's systems or approved documents, and it hands over to a person when it has no source for an answer. Customers are told they are speaking with an assistant and can ask for a person at any point. Actions that change a booking, an order, or an appointment carry a confirmation step with the customer and are logged against the conversation. The evaluation set is treated as a test suite: a release goes live only when accuracy on the approved answers is at or above the last release. Personal data is kept to what the conversation needs, retention follows the client's privacy notice, secrets and credentials are held outside the codebase, and no customer conversation is used to train a model unless the client commissions it.
Cost and time for an AI chatbot or WhatsApp assistant
The cost of an AI chatbot or WhatsApp assistant depends on the number of channels, the volume of messages, the number of systems the assistant reads, the languages it must handle, and whether it may create bookings, orders, or appointments. An assistant that answers common questions on WhatsApp and the website from the company's own documents, with handover to staff, is a matter of weeks. An assistant that reads several systems, takes bookings, and qualifies sales enquiries is a matter of months and goes live one channel and one workload at a time. WhatsApp conversation charges and model usage fees are estimated in the assessment from the client's real message volume. ZingZee provides a written estimate after the strategic assessment and phases the budget to the client's priorities.
What happens next?
You send a description of the messages your customers send, the channels they use, and the systems that hold the answers.
An engineer reads it and replies within two working days with the shape of a strategic assessment and the channel options.
You sign a non-disclosure agreement if you need one, and you receive a proposal with the phases, the estimate, and the team.
Get a free AI chatbot consultation
Send a sample of the messages your customers send, the channels they use, and the systems that hold the answers. An engineer replies with a scoped assessment and the channel options.
Or call +357 26 022564
Your details are used to respond to this enquiry, as our privacy policy explains. Privacy policy
Frequently asked questions
Straight answers on AI chatbots and WhatsApp assistants work with ZingZee.