AI chatbots
AI chatbot development that answers from your business, not the internet
Custom AI chatbots trained on your own documents, prices and policies, on your website, WhatsApp or inside your product, that answer accurately, say when they do not know, and hand over to a person with the conversation attached.
Bring the questions your team answers ten times a week. Those are the build brief.
Quick answer
What does an AI chatbot cost, and how do you stop it making things up?
Mana Studio builds custom AI chatbots trained on a business's own documents, prices and policies — on the website, on WhatsApp through the official Business API, or inside the product. The published packages are the US price list, starting at $299 for a website chatbot; for India the build is quoted to scope after a short call, and the price is driven mostly by how much of the content already exists in usable form versus needing to be assembled. Accuracy comes from grounding: the bot answers from supplied documents rather than the model's general knowledge, and is built to say "I do not have that" below a confidence threshold instead of producing a plausible sentence — with those questions logged so the gaps in the content are visible and fixable. It answers in Telugu and Hindi as well as English, including the mixed-script way people actually type, from the same source documents, so a multilingual bot is not several bots to maintain. When it cannot help it hands over to a person with the conversation attached, a path designed at the start of the project, because a chatbot with no exit is worse than no chatbot. The code, prompts, document index, API keys and conversation history stay in the client's accounts. Mana Studio is based in Warangal, Telangana, India, works with clients in India, the United States, the United Kingdom and the UAE in English, Telugu and Hindi, and replies to enquiries within one business day.
Last reviewed
- US price list from
- $299 for a website chatbot
- India
- Quoted to scope after a short call
- Channels
- Website, WhatsApp Business API, in-product
- Languages
- English, Telugu, Hindi — including mixed script
- Accuracy
- Answers from your documents; says when it does not know
- You own
- Code, servers, domain and every key, in your name
Most chatbot projects fail the same way: the bot is connected to a general-purpose model, asked about a specific price or policy, and confidently invents one. The fix is not a better model. It is retrieval, the bot answers from your own documents, quotes what it found, and is built to say “I do not have that, let me get someone” instead of guessing.
So the build starts with your content, not the conversation design. Price lists, product specs, service terms, delivery rules, the FAQ your team retypes daily, the WhatsApp answers your sales staff already send. That corpus is what makes a chatbot useful; without it you are paying for a general model with your logo on it.
A chatbot is the right choice when answering is the whole job. If it also needs to look up an order, update a record or book something, that is an AI agent and costs more. We say which one you need on the first call, and turning a chatbot enquiry into a smaller quote is a normal outcome here.
Chatbots we build
Website support chatbots
Answers the pre-sales and support questions that arrive at 11pm, from your own pricing, policies and product content. Every unanswered question is logged, so the gaps in your content become a list rather than a mystery.
WhatsApp Business chatbots
Built on the WhatsApp Business API, where most Indian customers actually message from. Handles the repeat questions and routes anything real to the person who should answer it, inside the same thread.
Lead-qualifying chatbots
Asks the two or three questions that separate a buyer from a browser, writes the answers into your CRM, and books the call. The qualification criteria are yours, written down before it is built.
Knowledge-base and internal chatbots
For staff rather than customers: SOPs, HR policy, product specs, dealer terms. The internal version is usually the one that saves the most time and nobody thinks to ask for.
In-product assistants
A chatbot inside your own application that can see the logged-in user's context, so “where is my order” is answered rather than deflected to a support form.
Multilingual chat
English, Hindi and Telugu handled in the same bot, including the mixed-script way people actually type. Answers stay grounded in the same source documents regardless of language.
How the answers stay accurate
Mainstream, well-supported technology — chosen so your next developer can pick the project up, not so we are the only ones who can maintain it.
Retrieval
- Vector search over your documents
- Source citation
- Answer grounding
- Confidence thresholds
Models
- Commercial LLM APIs
- Prompt + policy layer
- Structured output
Channels
- Website widget
- WhatsApp Business API
- In-app chat
- Telegram
Operations
- Human handover
- Conversation logging
- Unanswered-question reports
- Node.js
- MongoDB
How we work
How a chatbot project runs
Decide chatbot vs agent
A short call about what it must do. If answering is the whole job, it is a chatbot and cheaper. If it must act on your systems, we quote an agent instead and tell you why.
Gather and clean the source content
Documents, price lists, policies and existing FAQs collected and structured. This is the stage that decides whether the bot is any good, and it is the stage most projects skip.
Build, then test on real questions
Evaluated against questions your team has actually been asked, not invented ones, so there is a measured answer rate before launch rather than a demo impression.
Launch with a handover path
Escalation to a human is designed on day one, not after the first complaint. Conversations are logged, unanswered questions reported weekly, and every key and account is in your name.
What it costs
Chatbot packages are published in full for the US market. India projects are quoted to scope after the first call, because the work is dominated by how much of your content already exists in a usable form.
Conversational and content systems we have built
A chatbot is retrieval over a content set plus a messaging channel. Both are things we have shipped.
Algo Trading
AlgoEdge
Automated PNL reporting platform for Tradetron Creators — real-time MTM tracking, drawdown alerts, and Telegram summaries
Tradetron API · Telegram Bot
Job Portal
Sarkari Job Samachar
Comprehensive job portal for government job seekers with real-time updates and notifications
Next.js · Appwrite · SEO · Content Management
Car Service
JustFix Automotive
Designed and built a fast, user-friendly website for JustFix Automotive, a trusted mechanic workshop in Sunshine North, VIC. We executed a comprehensive on-page and technical SEO strategy optimizing site speed, local schema, and service-page architecture—to boost search rankings, capture high-intent local traffic, and drive online service bookings.
NEXT JS · HOSTING · TAILWIND · MONGODB
AI Chatbot Development by industry
The sectors we have shipped work in, and what changes about the build in each one.
AI Chatbot Development — frequently asked questions
How much does AI chatbot development cost?
The published packages are the US price list, starting at $299 for a website chatbot. For India the build is quoted to scope after a short call, the price is driven almost entirely by how much of your content (prices, policies, product data) already exists in a usable form versus needing to be assembled.
What is the difference between an AI chatbot and an AI agent?
A chatbot answers questions. An agent takes actions, looks up an order, updates a record, books a slot, and decides its own next step. If answering is the whole job, a chatbot is cheaper, more predictable and the right choice. See our AI agent development page for when it is not.
How do you stop the chatbot from making things up?
It answers from your documents rather than from the model's general knowledge, and it is built to return “I do not have that” below a confidence threshold instead of producing a plausible sentence. Those questions are logged so you can see exactly what it could not answer and add the missing content.
Can it work on WhatsApp?
Yes, on the official WhatsApp Business API, which is what allows automated replies at all. That is also where most Indian customers message from, so for a lot of businesses it is the more useful channel of the two.
Can it answer in Telugu or Hindi?
Yes, including the mixed-script way people genuinely type. The answers come from the same source documents whatever the language of the question, so a multilingual bot does not mean multiple bots to maintain.
What happens when the chatbot cannot help?
It hands over to a person, with the conversation so far attached so the customer does not repeat themselves. That path is designed at the start of the project, because a chatbot with no exit is worse than no chatbot.
Who owns the chatbot and the conversation data?
You do. The code, the prompts, the document index, the API keys and the conversation history are all in your accounts and your name. There is no platform fee to us and nothing stops working if you stop working with us.
Scope your AI chatbot
Bring the questions your team answers ten times a week. Those are the build brief.