AI Chatbot
Development Agency

​​AI chatbot development is the process of designing, building, and deploying intelligent virtual assistants that use natural language processing (NLP) and machine learning to interact with users via text or voice.

Unlike rule-based bots that rely on rigid scripts and if-then decision trees, AI chatbots understand context, interpret user intent, generate human-like responses, and handle complex conversations.

Generally, AI chatbots are powered by large language models (LLMs) like GPT and Claude, integrated into workflows and systems (like CRMs or helpdesks), and trained on company-specific data to serve customers, qualify leads, automate support, or streamline internal tasks.

Absolutely. We build custom chatbots for both websites and mobile apps.

If you're on web, we’ll embed the chatbot directly into your site (with full brand styling) and connect it to your backend, your CRM, or whatever system you already use. So users can do things like ask product questions, track orders, or get support without bouncing.

If it’s a mobile app, we can build native and cross-platform chatbot flows that plug into your app experience, whether it's customer-facing or internal ops. And yes, we can sync chat history across devices, handle push notifications, and even trigger in-app events based on what the user says.

We can absolutely integrate chatbots with WhatsApp, Messenger, Slack, and more.

If your customers live on WhatsApp, we’ll hook the chatbot into your Business API or a platform like Twilio or 360dialog, then build native-feeling flows with button replies, quick actions, and even media sharing.

For Messenger, it’s similar. We’ll deploy on your Facebook Page and build rich conversations with carousels, buttons, and anything else Meta allows. Fully branded, fully automated.

And with Slack, it's great for internal use. Think IT support bots, HR assistants, or sales ops tools. We can make the chatbot feel like part of your team, with slash commands, threaded replies, and real-time workflow triggers.

Our chatbots absolutely support multiple languages if you need them to. If your audience spans different regions or speaks more than one language, we can build your chatbot to detect language automatically or let users choose their preferred one.

We usually do this one of two ways: native training on multilingual data (ideal for high-accuracy use cases) or real-time translation powered by LLMs or translation APIs (fast and flexible).

A rule-based chatbot sticks to a script. You tell it, “If someone says X, respond with Y.” That’s fine for basic stuff like FAQs and store hours. But it falls apart when users ask things in unexpected ways.

An AI-powered chatbot understands what people mean. It uses natural language processing to interpret intent, handle open-ended questions, adapt mid-conversation, and even learn from past interactions. It’s flexible, human-like, and actually helpful.

That’s actually one of the first things we’ll ask for when you hire us for an AI chatbot development service. Your help docs, product manuals, past support tickets, internal playbooks, and FAQs are what we use to train the chatbot so it actually knows your business and gives answers that sound like your team.

We’ll ingest it, clean it, structure it, and either embed it (for retrieval) or fine-tune a model depending on your setup. Result: fast, accurate, on-brand answers.

If you want users to interact by voice, we can layer in speech-to-text (like Whisper) and text-to-speech (like ElevenLabs or Google TTS) so your chatbot talks like a real assistant. Perfect for mobile apps, kiosks, IVR systems, or even smart devices.

The voice UX is different from chat, so we also design for spoken flow. That entails shorter prompts, confirmations, and fallback handling. The nice part is this still connects to your backend just like a text-based bot.

They have to. If your chatbot isn’t connected to your CRM or helpdesk, it’s basically a dead-end. We can integrate your custom AI chatbot with platforms like Salesforce, HubSpot, Zoho, Zendesk, Freshdesk, Intercom, and plenty more.

Once it’s connected, it’ll be able to create leads or tickets, update contact records based on chat inputs, trigger workflows like follow-ups, alerts, or assignments, and pull in relevant data (e.g., order status, subscription info, case history, resource links) mid-conversation.

All AI chatbots use NLP. That’s what lets the bot actually understand what your users are trying to say rather than simply matching exact keywords. So whether someone types “Where’s my order?” or “Hey, can you check shipping?” the bot gets it, and gives the right response.

We use NLP to detect intent, extract entities (like names, dates, product IDs), handle messy, human language (typos, slang, different phrasing), and generate context-aware responses.

Not only the chatbot. Your business can too.

The chatbot gets smarter by learning from real conversations. We (and it) use that input to fine-tune responses, identify gaps, improve routing, and reduce fallbacks. Over time, it handles more complex cases with less human help.

But on top of that, the insights you get from chatbot conversations are gold. You’ll see what customers are asking for, what confuses them, what words they use, where they drop off — stuff you can use to improve your products, content, sales process, and support strategy.

We give you full visibility into how your chatbot is performing. You’ll be able to see things like conversation volume and engagement rates, successful vs. failed intents, drop-off points and friction areas, response time and resolution rates, and lead conversion or support deflection metrics.

We also show you what users are saying and how they’re feeling overall, so you can identify new opportunities, refine flows, and continuously improve both the bot and your customer experience.

It depends on what you need, but here’s a quick breakdown:

Simple bots (rule-based): $5,000–$30,000

Mid-range AI chatbots: $30,000–$80,000

Enterprise AI chatbot development service: $75,000–$150,000+

What affects the price is things like integrations (CRM, APIs), training the bot on your data, multi-language support, compliance (HIPAA, GDPR), and how complex the conversations need to be. We’ll give you a clear quote once we know your scope.

If you work with us on a retainer model, we’re able to stay involved post-launch to monitor performance, catch issues early, and continuously optimize the chatbot. Support, analytics, and iteration are all part of the deal.

We can build ecommerce chatbots that help customers find products, answer questions, suggest relevant items, guide them through the checkout process, and manage orders. Plus, we can integrate them with your inventory, CMS, and payment flows.

Yes, as a top AI chatbot development company, security is built into everything we do. We follow best practices for encryption, data handling, access control, and compliance depending on your industry. Your users’ data stays protected and you’re protected from fines.