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AI Chatbot Development Services in India

Chatbots that answer customers, qualify leads and support your team, on your website, WhatsApp and apps.

OZRIT builds AI chatbots and virtual assistants for businesses in India and overseas. Our bots understand questions in natural language, give answers from your own knowledge, work in Indian languages and hand over to your team when a human is needed.

Tell us what you need

A consultant replies within one business day. No sales deck.

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AI chatbot and conversational AI development, explained

A good chatbot resolves the question. A bad one makes the customer type the word agent four times.

A chatbot earns its place when it solves problems: checking an order, booking a slot, answering a policy question at midnight. A chatbot that only says hello and asks for an email is just a form with extra steps.

We build assistants around your real conversations. We study your support tickets and sales chats, design the flows that matter, and connect the bot to your CRM, helpdesk, payment and booking systems so it can actually do things. Where answers come from documents, we use retrieval so replies stay accurate.

Every bot has a clear handover to a person, with the chat history attached. We measure resolution rate, handover rate and customer satisfaction, and use those numbers to improve the bot month after month.

Beyond the conversation itself, a chatbot needs a way for your team to run it. We build the admin side too: a place to edit flows and knowledge, review live and past conversations, see what customers asked that the bot could not answer, and hand a chat to a person. That is what keeps a chatbot improving after launch instead of going stale.

A customer chatting with an AI assistant about an order while the assistant confirms the delivery status
  • Customer support chatbots
  • WhatsApp chatbots
  • Website and in-app chatbots
  • Lead generation and sales bots
  • Enterprise and internal assistants
  • Voice bots

Chatbot services we offer

A bot for each channel and purpose.

  • Customer support chatbots

    Answer FAQs, track orders and raise tickets, with human handover.

  • WhatsApp chatbots

    Official WhatsApp Business bots for support, bookings, orders and broadcasts.

  • Website and in-app chatbots

    Chat widgets inside your site or mobile app, matched to your brand.

  • Lead generation and sales bots

    Qualify visitors, capture details and book meetings with your sales team.

  • Enterprise and internal assistants

    HR, IT and policy helpdesks that answer staff questions.

  • Voice bots

    Phone and voice assistants for call deflection and outbound reminders. Dedicated voice AI is covered on our AI voice agent development page.

  • Multilingual chatbots

    English, Hindi, Telugu, Tamil and other Indian languages.

  • Chatbot integration

    Connect bots to CRM, ERP, helpdesk, payments and booking tools.

  • Conversation builder and admin dashboard

    A visual way for your team to manage flows, intents, knowledge content and live conversations without developer help.

  • Intent and entity recognition

    Language understanding tuned to your domain, with sensible fallbacks when a message is unclear.

  • Analytics and conversation insights

    Resolution rate, hand-off rate, unanswered questions and satisfaction, so you can see what to improve.

  • Access control, monitoring and audit logs

    Role-based access, data protection controls and a reviewable record of conversations for compliance.

Our AI Chatbot Development Process

Six steps from conversation research to a chatbot that keeps improving.

A project team reviewing model accuracy and results on analytics dashboards during delivery

Design to launch

First chatbot in 4 to 8 weeks

6 steps, each ending in something you can review before the next one starts.
  1. 1

    Discovery and Use-Case Scoping

    We review your conversations and agree what the bot should handle.

  2. 2

    Conversation and UX Design

    We design flows, tone, buttons and handover points.

  3. 3

    Model and Knowledge Setup

    We choose the language model and prepare your knowledge sources.

  4. 4

    Development and Integration

    We build the bot and connect it to your channels and systems.

  5. 5

    Testing and QA

    We test intents, edge cases, languages and load.

  6. 6

    Launch and Ongoing Support

    We release, monitor conversations and improve the bot each month.

What chatbots do for businesses

Where chatbots most often save time and win customers.

  • Customer support

    Order status, returns, FAQs and ticket creation at any hour.

  • Lead qualification

    Ask the right questions and pass warm leads to sales.

  • Booking and appointments

    Slots, reminders and rescheduling over chat.

  • eCommerce assistance

    Product discovery, size help and cart recovery.

  • Banking and insurance

    Policy, premium and claim queries with secure verification.

  • HR and IT helpdesk

    Leave, payroll and access requests for employees.

AI chatbot development for your industry

The same build applies across sectors, but the data, rules and risks differ. These are the industries where we are asked for it most.

Technologies We Use for Chatbots

Language models, channels and integrations for reliable conversations.

AI & Language

Understanding real conversations.

  • OpenAI GPT
  • Anthropic Claude
  • Rasa
  • Dialogflow
  • LangChain

Channels

Where your customers already are.

  • WhatsApp Business API
  • Telegram
  • Facebook Messenger
  • Web chat widget
  • Voice and IVR

Integrations

A bot that can act.

  • Zoho
  • HubSpot
  • Salesforce
  • Freshdesk
  • Razorpay
  • Node.js

What decides the cost of a chatbot

Bot quotes depend on these factors.

A discovery sprint from $1,000 tests the idea on your own data and ends with a scoped quote. Team rates are on How We Work, or you can hire AI developers directly.
  • Number of use cases

    A single FAQ bot costs less than a bot that handles bookings, payments and tickets.

  • Channels

    Web, WhatsApp, voice and apps each need setup and testing.

  • Languages

    Each language needs training data and testing.

  • Integrations

    CRM, helpdesk and payment links add engineering work.

  • Knowledge base size

    More documents need more preparation and evaluation.

  • Running costs

    Messaging fees and model usage continue after launch, and we estimate them up front.

Security and privacy in AI chatbot development

A security or compliance team will ask where the data goes, who can see it and how quality is checked. These are the safeguards we build into every project.

  • Where your data lives

    Models can run in your own cloud account or on private endpoints, with provider settings that stop your data being used for training. You choose the region.

  • Access control

    Assistants respect the permissions of the person asking. Someone who cannot open a document cannot get its content through a chat window either.

  • Testing before launch

    We build an evaluation set from your real cases and measure accuracy, safety and cost before and after every change, not just once at launch.

  • Certification and ownership

    OZRIT is ISO/IEC 27001:2022 certified for information security. You own the code, prompts, models you commission and your data.

All eight AI safeguardsCertifications and AI frameworks we work to

AI chatbot development: frequently asked questions

Straight answers on cost, timelines, data, security and ownership.

What is an AI chatbot?

An AI chatbot is software that talks with people in natural language, understands what they want and responds or takes action, instead of following fixed menu options.

What is the difference between a rule-based chatbot and an AI chatbot?

A rule-based bot follows fixed paths and breaks when users phrase things differently. An AI chatbot understands intent, handles varied wording and can answer from your documents.

Can you build a WhatsApp chatbot?

Yes. We build bots on the WhatsApp Business API with message templates, buttons, payments links, human handover and CRM updates.

How much does chatbot development in India cost?

Chatbot cost depends on the channels, the number of conversation flows, the systems it connects to and the languages it speaks. A single-channel FAQ bot costs far less than a multi-channel assistant that books, takes payments and updates your CRM. A discovery sprint from $1,000 scopes your use case and ends with a quote, and we estimate monthly running costs separately.

How long does it take to build an AI chatbot?

A focused support or lead bot takes 3 to 6 weeks. A bot with several integrations and channels takes 8 to 12 weeks.

Will the chatbot work in Indian languages?

Yes. We build and test bots in Hindi, Telugu, Tamil, Kannada, Malayalam, Marathi and other languages, including mixed-language messages.

Can the chatbot connect to our CRM and helpdesk?

Yes. We integrate with Zoho, HubSpot, Salesforce, Freshdesk, Zendesk and custom systems, so the bot can read and update records.

How does a human take over from the bot?

The bot passes the chat, with history and context, to an agent in your helpdesk or inbox when it is unsure or when the customer asks.

How do you measure chatbot success?

We track resolution rate, handover rate, response time, customer satisfaction and leads captured, and review failed conversations to improve.

Do you offer support after launch?

Yes. We offer monthly plans for monitoring, updating answers, adding flows and new integrations.

Can non-technical staff manage the chatbot?

Yes. We build an admin dashboard where your team can edit answers, update knowledge content, review conversations and spot unanswered questions without developer help. Changes to flows or integrations go through us or your developers.

What happens when the chatbot does not know the answer?

It says so, rather than guessing, and offers a next step: a human hand-off, a callback or a ticket. Every unanswered question is logged, so you can add the missing knowledge and watch the gap close.

Plan your chatbot

Tell us who the chatbot should help and where. We will say what it can resolve on its own, how hand-off would work and what a first release would look like.

What happens next

  1. 1An AI consultant reads your note and may reply with a few questions.
  2. 2We hold a call to understand the problem, your data and the systems involved.
  3. 3If AI fits, we propose a discovery sprint or a scoped pilot with clear success measures.

We use your details only to reply to this request. See our privacy policy.