[00] AI Chatbot Development
AI Chatbot Development for Website, WhatsApp and App Support
We build AI chatbots that talk to your customers on your website, WhatsApp, mobile app and social channels. They answer from your own help content, product data and policies, take bookings and check orders, capture leads into your CRM, and pass the conversation to a person, with the details already collected, when a question needs one.
built for
- Customer support and contact centre teams
- E-commerce and retail brands
- Clinics, hotels and service businesses taking bookings
- Banks, insurers and financial services firms
- Businesses serving customers in Arabic and English
Illustration: someone asks “Can I return a bulk order after 10 days?”. The assistant scores 6 chunks from the company's own sources, packs the 4 most relevant into its context window, and answers: “Yes. Bulk orders (50+ units per line) can be returned within 14 days of delivery. Request an RMA number from your account page first; the refund reaches your original payment method in 5–7 working days.” Each sentence cites the chunk it came from.
key facts
- GPT, Claude, Gemini and Llama, chosen per bot
- 4 model families
- and the other languages your customers write in
- Arabic & English
- open models can run on your own servers
- Cloud or self-hosted
- signed before we see your data
- NDA
What we deliver
What you get with AI Chatbot Development. Nine parts of the service, each scoped with you.
Unlike older rule-based bots, an LLM chatbot understands questions phrased in many ways and in several languages, including Arabic and English. We are not tied to one provider: depending on cost, quality, language and hosting needs, we use GPT, Claude, Gemini or open models such as Llama that can run on your own servers.
A good chatbot is mostly careful design: which questions it should answer, which it must refuse, when it hands over and how you check it is right. We test every bot against real customer questions before launch and give your team the tools to review conversations and fill gaps afterwards.
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Website and in-app chat
A chat widget in your brand that works on mobile, plus in-app chat for your Android and iOS apps, aware of the page or screen the customer is on.
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WhatsApp and social channels
WhatsApp through Meta's WhatsApp Business Platform, plus Facebook Messenger and Instagram, with approved message templates for reminders and follow-ups.
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Answers from your own content
Retrieval over your help centre, product catalogue, PDFs and policies, so replies come from your sources and stay current when the content changes.
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Handover to a person
The bot passes the conversation to a live agent in your helpdesk or shared inbox with a summary of the issue, so the customer never has to repeat themselves.
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Bookings, orders and lead capture
Book appointments, check order status, qualify leads and open tickets by connecting to your CRM, booking system, e-commerce platform or helpdesk.
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Your choice of model
GPT, Claude, Gemini or a self-hosted Llama model, picked after testing on your questions, with simple queries routed to a cheaper model where it makes sense.
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Multilingual conversations
Customers write in their own language, including Arabic and English, and the bot replies in kind using your approved product names and terms.
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Guardrails and safe refusals
Topic limits, refusal rules, checks against prompt injection and no invented prices or promises. When the bot is unsure, it says so and offers a person.
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Conversation analytics and review
A dashboard of conversations, handovers, unanswered questions and customer feedback, so your team can see where answers or content need fixing.
Why it matters
The difference it makes to your business. Results your team will notice.
AI Chatbot Development is planned around these outcomes, measured against a baseline we agree with you up front.
Discuss your project- 01
Answers outside office hours
Customers get a useful reply at night and at weekends, and anything the bot cannot handle is waiting for your team in the morning.
- 02
Fewer repeat questions for agents
Routine questions about hours, prices, orders and policies are handled by the bot, so agents spend their time on conversations that need a person.
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More enquiries captured
Visitors who would not fill in a form will often answer a few questions in chat, and those details go straight into your CRM.
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No lock-in to one AI provider
The bot is built so the model can be changed, letting you switch providers as prices and quality move without rebuilding it.
How we work
How we deliver AI Chatbot Development
A clear five-step process, so you always know what happens next and what you will get.
Every project starts with a free, no-obligation consultation.
$ appsinai run --pilot-first
Step 1: Map the conversations
We review your support tickets, chats and FAQs to decide what the bot should handle, what it must not, and when it should hand over.
Step 2: Prepare the knowledge
Help articles, product data and policies are cleaned up and connected, and the gaps the bot will hit are listed for your team to fill.
Step 3: Build and connect
We build the bot, connect your channels and back-office systems, and set up handover to your helpdesk or inbox.
Step 4: Test with real questions
The bot is scored against real customer questions, including awkward and off-topic ones, and your team tries it before any customer does.
Step 5: Launch, review, improve
We launch on one channel first, review conversations each week, fix wrong or missing answers, then add more channels.
↺ results feed the next improvement cycle$
Security & control
Customer conversations handled with care
Chatbots see names, phone numbers and order details. We agree up front what the bot may store, which model providers may process it and for how long.
Ask us about security- 01
Personal data kept to a minimum
The bot asks only for the details it needs, sensitive fields are masked in logs, and transcripts are kept for the period you set.
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Hosting you choose
Commercial model APIs under business terms, a cloud region you pick, or an open model on your own servers when conversations must not leave your infrastructure.
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Verification before personal answers
Order, booking and account details are shared only after the customer is verified, for example with a one-time code.
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A record of every conversation
Every conversation, handover and bot action is logged, so your team can review what was said and why.
FAQ
Questions about AI Chatbot Development
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyHow is an AI chatbot different from ChatGPT integration?
A chatbot is a customer-facing conversation on your website, WhatsApp or app, with handover to your team, and it can run on GPT, Claude, Gemini or Llama. ChatGPT integration puts OpenAI features inside your own product or internal tools, such as document extraction, summaries or search over your knowledge base.
See ChatGPT & OpenAI integrationWhich AI model will our chatbot use?
We decide after testing on your own questions. GPT, Claude and Gemini are strong general choices with different strengths in tone, languages and price. Open models such as Llama suit cases where conversations must stay on your servers. The bot is built so the model can be changed later.
What happens when the bot cannot answer?
It says so rather than guessing, and offers a person. The conversation moves to a live agent in your helpdesk or inbox with a summary and the customer's details. Outside working hours it takes a message and opens a ticket. Unanswered questions are listed so your team can add the missing content.
Can the chatbot work on WhatsApp?
Yes. We use Meta's WhatsApp Business Platform, which needs a verified business number. Customers can message you at any time, and messages you start, such as reminders and follow-ups, use templates that Meta approves in advance.
How do you stop it from making things up?
Answers are drawn from your own content through retrieval, and the bot is told to say it does not know rather than guess. Prices, stock and order details come from your live systems, not the model's memory. We test against real questions before launch and review conversations afterwards. No chatbot is right every time, so customers can always reach a person, or leave a message out of hours.
How much does a chatbot cost and how long does it take?
It depends on the number of channels and systems it connects to, the languages, how much content needs preparing and the conversation volume, which drives model costs. A website bot answering from your help content can launch in a few weeks. One with bookings, payments and several channels can take a few months.
Estimate your AI project costWill it connect to our CRM and helpdesk?
Usually, yes. We connect through their APIs so leads, tickets and conversation summaries land in the tools your team already uses. If a system has no API, we agree the least disruptive alternative, such as email or a scheduled export.
Free PDF brochure
AI Chatbot Development brochure
Features, outcomes, delivery process and FAQs in one PDF you can share with your team or management.
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related
Keep exploring
- ChatGPT & OpenAI IntegrationOpenAI features built into your own product and internal tools: extraction, summaries, search and API-driven assistants.
- AI Agent DevelopmentAgents that go beyond answering, planning and completing multi-step tasks across your systems with human approval.
- AI readiness checklistCheck whether your content, data and team are ready for a chatbot before you start.
- AI & ML DevelopmentEnd-to-end AI and machine learning development, from a feasibility check and proof of concept to models running inside your ERP, CRM or apps.
- Generative AI DevelopmentGenerative AI applications that draft, summarise, search and answer from your own content, built on the model that fits and tested before rollout.
- LLM DevelopmentWe select, adapt and deploy large language models for your tasks, from fine-tuned open-source models on your servers to integrations with hosted APIs.
- Model Training & Fine-TuningWe prepare your data and fine-tune or train AI models so they follow your terminology, formats and rules, with evaluation before and after every change.
- Machine Learning DevelopmentCustom machine learning models for forecasting, risk, recommendations and inspection, trained on your own data and evaluated before they reach production.
- Computer VisionCustom computer vision models that detect, count, read and inspect what your cameras see, trained on your own images and run in the cloud or on edge devices.
Free consultation
Plan a chatbot your customers will actually use
Send us a sample of your most common customer questions and we will show you how a bot would answer them, and where it should hand over to your team.