AI Product Development
AI chatbots that answer well and know when to hand over
We build chatbots that answer common questions accurately from your own content, collect the details your team needs, and hand everything else to a person smoothly.
The problem
The problem this solves
Customers ask the same questions all day: opening hours, prices, availability, order status, how to book, what is included. Answering them takes staff time, and outside business hours the questions go unanswered, so customers go elsewhere.
Old rule-based chatbots made things worse. They followed rigid menus, misunderstood anything unexpected and trapped customers in loops with no way to reach a person. Many businesses tried one and removed it.
A modern AI chatbot understands questions written in normal language and answers them from your own knowledge base using RAG, so answers are grounded in what you have actually published. A carefully written system prompt sets its tone, limits and rules. It can collect details, check availability or book appointments through your systems, and it hands over to a person with the full conversation when the question is complex, sensitive or the customer asks for a human.
Honesty is built in. The chatbot says when it does not know, never invents prices or policies, and makes clear it is an automated assistant. We test it against real customer questions before launch and review conversations regularly afterward.
Chatbots work especially well in hospitality, vacation rentals, ecommerce and healthcare front desks, where questions are frequent and predictable.
A chatbot is never finished at launch. Customers ask new questions, policies change and seasons shift demand. We set up a simple routine: the bot flags questions it could not answer, your team reviews them weekly, and the knowledge base is updated so the same gap does not appear twice.
What you get
What you get
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Knowledge setup
Your FAQs, policies, product and service information organized for accurate answers.
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Website chat widget
A fast, accessible chat window that matches your brand.
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Messaging channels
WhatsApp, Facebook Messenger or SMS, where your customers already are.
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Actions
Booking, order lookup or lead capture through your existing systems.
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Human handover
Smooth transfer to staff with the conversation history, during and after hours.
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Multiple languages
Answers in your customers' languages, checked by a person before launch.
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Guardrails
Topics the bot avoids, rules it follows, and clear disclosure that it is automated.
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Conversation insights
Common questions, unanswered topics and handover rates in one dashboard.
How we build it
How we build it
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1
Collect questions
We gather real customer questions from email, chat and phone notes.
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2
Prepare knowledge
Content is organized, gaps filled and rules for tone and limits agreed.
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3
Prototype and test
The chatbot answers real questions; your team reviews every answer.
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4
Build and connect
Widget, channels, actions and handover built and tested.
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5
Launch and review
Soft launch, then weekly review of conversations to improve answers.
AI and people
Where AI helps, where people decide
AI makes the repetitive parts faster. The decisions that shape your product stay with experienced people.
Where AI speeds things up
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Answering customer questions from your approved content.
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Grouping past questions into topics to prioritize.
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Drafting answers for gaps in your knowledge base.
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Testing the chatbot against hundreds of sample questions.
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Summarizing conversations for staff at handover.
Where people decide
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What the chatbot may and may not answer.
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The tone of voice and how it introduces itself.
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When a conversation must go to a person.
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Which actions, such as bookings, it may take.
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Whether answers are accurate enough to go live.
Is this right for you?
When this is the right choice
A good fit when
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Staff answer the same customer questions many times a day.
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Customers contact you outside business hours.
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Your policies and information are written down, or can be.
Consider something else when
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Most conversations need expert judgment or sensitive advice.
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You receive only a handful of inquiries a week.
Timeline and cost
What affects the timeline and cost
A website chatbot answering from your existing content can be ready in a few weeks. Messaging channels, bookings and integration with order or CRM systems add time.
We do not publish fixed prices because scope drives cost. How we estimate.
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Content readiness
Well-organized content is quick to use; scattered content needs preparation.
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Channels
Each messaging channel adds setup and approval steps.
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Actions and integrations
Booking or order lookups need connections to your systems.
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Languages
Each language needs testing with native speakers.
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Handover setup
Connecting to a help desk or live chat tool adds work.
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Conversation volume
Model costs scale with the number of messages.
Keep exploring
Related services, solutions and reading
Related services
View all related services- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Voice AI Speech to text, call summaries and voice assistants that take bookings or answer routine calls.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- RAG knowledge assistants Assistants that answer questions from your own documents and show where each answer came from.
- AI-Powered Web Development Business websites, customer portals, dashboards and web applications that load fast, rank well and are easy to change.
- Mobile App Development iOS, Android and cross-platform apps with the backend and APIs they need, taken all the way to the app stores.
Solutions
View all solutions- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- Scheduling automation Let customers book, change and confirm appointments themselves, by web, chat or phone, with reminders that cut no-shows.
- AI lead qualification Score, research and route every new inquiry so your team talks to the best leads first.
- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
- Knowledge assistant (RAG) Ask a question in plain words and get an answer from your own documents, with links to the sources.
- AI-assisted content workflows Briefs, first drafts, edits and repurposing in a workflow where people set the angle and approve every word.
Industries
View all industries- Ecommerce Online stores, product data cleanup, support assistants, price monitoring and order automation for online retailers.
- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Healthcare Patient booking, intake forms, internal knowledge assistants and admin automation for clinics and care providers.
- Vacation rentals Booking websites, owner and guest portals, turnover scheduling and guest messaging for rental operators.
- Home services Booking, dispatch, quotes, invoicing and reviews for plumbers, electricians, cleaners and other home service businesses.
- Real estate Listing sites, lead handling, CRM automation and document workflows for agencies, brokers and developers.
Case studies
View all case studiesGuides and articles
View all guides and articlesAI models
View all ai models- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
- Claude Sonnet 5 Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
- Claude Haiku 4.5 Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
- ElevenLabs Eleven v3 ElevenLabs text-to-speech: the expressive Eleven v3 in 70+ languages, a real-time conversational version, and the low-latency Flash models, with voice cloning.
- Mistral Large 3 Mistral's open-weight general-purpose flagship under Apache 2.0, with image input, tool calling, structured outputs and a 256K token window.
- GPT-4o mini TTS OpenAI's current text-to-speech model for turning text into natural spoken audio, at a low price level.
MCP servers
View all mcp servers- Communication Servers for chat, email, SMS and phone, so AI can read messages, draft replies and send notifications.
- Intercom Intercom's official hosted MCP server lets AI search conversations, contacts, companies and help articles, create articles and add notes.
- Discord A community MCP server that lets AI read and send Discord messages, react, send direct messages and manage channels through a bot.
- Zendesk A community MCP server that lets AI read Zendesk tickets, comments and attachments, create tickets and add comments.
- BigCommerce BigCommerce's official Storefront MCP, in beta, lets AI shopping assistants browse the catalog, build carts and hand shoppers to checkout.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
Glossary terms
View all glossary terms- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- RAG RAG, or retrieval-augmented generation, is a method where an AI system first finds relevant passages in your documents, then answers using only those passages.
- System prompt A system prompt is the standing set of instructions an application gives an AI model, defining its role, rules and style for every conversation.
- Fine-tuning Fine-tuning is further training an existing AI model on your own examples so it learns a specific style, format or task.
- Frontend The frontend is the part of a website or app that people see and use, including pages, forms, buttons and how they respond.
- Hallucination A hallucination is when an AI model states something false or invented as if it were true, such as a made-up fact, figure or source.
FAQ
Questions about AI chatbots
Have a question that is not here? Ask us directly.
It can, so we limit it to your approved content, tell it to say when it does not know, and test it on real questions before launch. Conversations are reviewed regularly to fix gaps.
Always. The chatbot hands over when asked, when unsure or when a topic needs a person, and staff see the full conversation.
Yes, through the official WhatsApp Business Platform. Setup includes business verification, which we guide you through.
A chatbot mainly answers and collects information in a conversation. An agent takes actions across systems. See chatbot vs agent and AI customer support.