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AI Chatbots · Web, WhatsApp and Voice

AI Chatbot Development for Customer Support and Sales

We build AI chatbots that answer from your own documents and connect to your business systems. They help customers on your website, in your app, on WhatsApp or by voice, and they hand the conversation to your staff when a question is beyond them.

Request a Quote See Our Work

Years in Business

75+

Clients Served

50+

People on Our Team

AI Chatbot Development

by DQOT Solutions — Trusted by 75+ Global Clients

GPT-4oClaude 3.5Llama 3.3RAGMultilingualVoice AI

What Is AI Chatbot Development?

Chatbots That Understand What People Are Asking

Older chatbots follow a script and get stuck as soon as a customer steps outside it. An AI chatbot is built on a large language model, so it understands questions in everyday language and remembers what was said earlier in the conversation. It can also look up answers in your documents and carry out tasks in your systems.

DQOT Solutions builds custom AI chatbots that use your own business information and connect to your CRM, helpdesk and databases. They work on your website, in your mobile app, on WhatsApp and over voice, at any hour.

What We Deliver

What Our AI Chatbots Can Do

Choose what your chatbot needs to do, and we will plan it, build it and connect it to the tools you already use.

🧠

Natural Conversation

We build on models such as GPT-4o and Claude, or on open-source models tuned for your use. The chatbot works out what a person means, even when the question is vague, and keeps track of a long conversation.

📚

Answers From Your Own Content

We connect the chatbot to your documents, PDFs, databases and website using retrieval-augmented generation (RAG). It answers from your information, which keeps made-up answers to a minimum.

🔗

CRM & Helpdesk Integration

The chatbot works with Salesforce, HubSpot, Zendesk, Freshdesk and Intercom. It can create, update and escalate tickets during a conversation, so your team does not have to re-enter anything.

🌍

Multilingual Support

One chatbot can serve customers in many languages, including Hindi, Arabic, Spanish and French. It detects the language a person writes in and replies in the same one.

🎙️

Voice Assistants

The same chatbot can talk. We add speech recognition and natural-sounding voices with tools such as Whisper, Deepgram and ElevenLabs, for phone lines and for the web.

📊

Analytics & Improvement

A dashboard shows how many conversations the chatbot resolved, when it handed over to staff and how customers felt. We use what it shows to keep improving the answers.

Our Process

How We Build Your AI Chatbot

We follow six steps, from working out what the chatbot should handle to improving it after launch.

Start the Process →

Discovery & Use Cases

We look at how your team handles customer questions today and pick the jobs a chatbot would help with most. We also agree how success will be measured before any code is written.

Preparing Your Content

We gather your product documents, FAQs, policies and past support tickets, then clean and organize them. This becomes the knowledge the chatbot answers from.

Conversation Design

We plan how conversations should go, what the chatbot may and may not do, and when it hands over to a person. Its replies are written in your brand's voice.

Development & Integration

We build the chatbot on the model you choose and connect it to your CRM or helpdesk. Then we set it up on the channels you need, such as a website widget, WhatsApp or Slack.

Testing

We test for wrong answers, lost context and unusual questions, and we try to trick the chatbot into breaking its rules. It goes live only after a large set of test conversations.

Launch & Improvement

After launch we watch customer satisfaction, how many questions are resolved and where handovers happen. Each month we fix weak spots and add new abilities.

Industries & Use Cases

Where an AI Chatbot Helps

Use Case 1

Customer Support

The chatbot answers common questions, processes returns and checks order status. Anything complicated goes to your staff.

Use Case 2

Lead Generation & Qualification

It greets website visitors, asks a few questions to see whether they are a good fit and takes their contact details. The lead is added to your CRM automatically.

Use Case 3

E-commerce Assistance

Shoppers describe what they want and the chatbot suggests products, compares options and applies discount codes. It then guides them through to checkout.

Use Case 4

HR & Employee Self-Service

Employees ask about policies, leave, payroll and onboarding and get an answer straight away, without waiting for someone in HR.

Use Case 5

Healthcare Appointment Booking

Patients book appointments and receive medicine reminders and follow-ups after a visit. We build these chatbots around your privacy and compliance requirements.

Use Case 6

Banking & Finance

Customers check balances and past transactions and ask about loan eligibility. Personal data is protected and every action is logged.

Why DQOT Solutions

Why Businesses Choose Us for AI Chatbot Development

🏆

8+ Years in Business

We started in Jaipur in 2018 and have since worked with 75+ clients in 7 countries, across software and digital marketing.

⚡

Short Cycles, Early Feedback

We work in short cycles and share each stage with you, so you can ask for changes while they are still easy to make.

🔍

Updates You Can Follow

You get regular progress updates and can see the work as it takes shape, so you always know what we are doing and why.

🌍

Offices in India and Canada

Our head office is in Jaipur, with offices in New Delhi and Canada. We work with clients in 7 countries, including India, the USA, the UK and the UAE.

🤖

AI Tools Where They Help

We use AI tools in our own work where they help, and build AI features into your product when they are useful to your customers.

🤝

A Long-Term View

We take the time to understand how your business works, and we aim to keep working with you after the first project is delivered.

FAQs

Frequently Asked Questions

Answers to the questions we hear most often about AI chatbots. Can't find yours?

Ask Us Directly →

A rule-based chatbot follows a scripted decision tree and fails when a customer leaves the expected path. An AI chatbot built on a large language model understands everyday language, keeps track of a conversation over several turns and copes with questions nobody planned for. That makes it much more useful with real customers.

Yes. We use retrieval-augmented generation (RAG) to connect the chatbot to your product catalog, policy documents, FAQs and internal databases. It then answers with your own information, not with generic or made-up replies.

We set chatbots up on websites as an embedded widget and in iOS and Android apps. They also work on WhatsApp Business, Facebook Messenger, Instagram DMs, Telegram, Slack, Microsoft Teams and voice lines (phone or IVR). One backend serves all of these channels.

We set rules for when the chatbot should hand over. They are based on how the customer seems to feel, how confident the chatbot is in its answer and the topics you want your staff to handle. The conversation then passes to a human agent with the full history, so the customer never has to repeat themselves.

Yes. You can choose where your data is stored, and for sensitive data we can run the language model on your own servers. When we use OpenAI or Anthropic, we work under enterprise agreements that include data processing addendums. Data is encrypted in storage and in transit.

Chatbot development costs range from $5,000–$8,000 for a focused chatbot with a single use case to $25,000–$80,000+ for a multi-channel enterprise system with complex integrations. Contact us for a detailed estimate based on your requirements.