AI Services
AI Chatbot Development Company for Support, Sales and Internal Teams
We design and build chatbots that answer from your own documents, remember the conversation, speak your customers' languages and hand over to a human the moment it matters.
Overview
Why AI Chatbot Development matters
Most businesses already know which questions their customers and staff ask every day, yet the answers sit in PDFs, SOPs, help-center articles and the heads of a few experienced people. As an AI chatbot development company, HANA Platform turns that scattered knowledge into a conversational assistant that replies accurately, cites its sources and knows when to step aside. We build on OpenAI, Claude, Ollama or a custom model, choosing the one that fits your accuracy, cost and privacy needs rather than locking you into a single vendor.
The outcome is a chatbot that resolves routine queries around the clock, routes complex cases to the right agent with full context, and gives your team a dashboard showing what customers actually ask. It connects to the systems you already run, from Salesforce, HubSpot and Zendesk to Google Workspace, so answers and actions stay consistent with your records.
What we build
AI Chatbot Development: capabilities
Every feature is built on our standardized stack, so it is secure, tested and maintainable by any engineer in our pool.
Multi-LLM support
Run OpenAI GPT, Claude, Ollama-hosted open models or a custom LLM behind one interface, and switch or combine them per task without rebuilding the bot.
Custom knowledge base
Ingest documents, PDFs, SOPs, product sheets and help articles so every answer is grounded in your approved content, with source references users can check.
Multi-turn context
The bot remembers what was said earlier in the session, handles follow-up questions naturally and asks clarifying questions instead of guessing.
Multilingual conversations
Serve customers in 50+ languages supported by modern models, including Hindi, Gujarati and other regional languages, with consistent tone across all of them.
CRM and helpdesk integration
Create tickets, update contacts and look up order or account status in Salesforce, HubSpot and Zendesk directly from the conversation.
Smart human escalation
Detect frustration, sensitive topics or low-confidence answers and pass the chat to a live agent with a summary, so customers never repeat themselves.
Analytics dashboard
Track resolution rate, CSAT, top intents, unanswered questions and escalation reasons to see where the bot helps and where content needs work.
Google Workspace actions
Book meetings in Google Calendar, send confirmation emails through Gmail and pull the latest policy files from Google Drive without leaving the chat.
Key benefits
Outcomes your business can count on
Faster answers, any hour
Customers and employees get a reliable reply at midnight or on a public holiday, without waiting in a queue for the next available agent.
Agents focus on hard cases
Routine questions are handled automatically, so your support team spends its time on complaints, renewals and issues that genuinely need judgement.
Consistent, approved information
Every reply draws from the same curated knowledge base, which reduces contradictory answers between shifts, branches and channels.
Insight into customer intent
Conversation analytics reveal recurring problems, missing documentation and product feedback that rarely surface in ticket tags alone.
No single-vendor dependency
Because the model layer is swappable, you can move to a cheaper, faster or private model later without starting the project again.
Use cases
Where this delivers value
E-commerce support
Answer delivery, return and sizing questions, track orders from your store platform and recover abandoned carts with helpful product suggestions.
SaaS onboarding
Guide new users through setup step by step, explain features in context and open a support ticket with logs when something breaks.
Banking and financial services
Explain products, eligibility and documentation requirements, with strict guardrails on what the bot may say and mandatory escalation for account-specific matters.
Healthcare scheduling
Let patients find the right department, check doctor availability and book or reschedule appointments, while clinical questions go straight to staff.
HR helpdesk
Give employees instant answers on leave policy, payroll dates, reimbursements and benefits, drawn from the HR handbook stored in Google Drive.
Real estate enquiries
Qualify buyers and tenants by budget and location, share matching listings and schedule site visits in the sales team's calendar.
Technology used
Built on one proven stack
We pair the language model with retrieval over your documents, a secure NestJS backend for integrations and our standard Next.js front end for the chat widget and admin dashboard. Hosting can be cloud, on-premise or hybrid depending on your data rules.
- OpenAI GPT
- Claude
- Ollama
- Llama and Mistral
- LangChain
- LlamaIndex
- Pinecone or Weaviate
- Python and FastAPI
- NestJS and Next.js
- Redis
- Docker
Our process
From first call to confident launch
- 01
Discovery
We review chat logs, ticket exports and FAQs to find the intents worth automating, agree escalation rules and decide which content sources the bot may use.
- 02
Design
We define the conversation flows, tone of voice, fallback behavior and data access, then choose the model and retrieval setup that balances accuracy and cost.
- 03
Agile Build
In short sprints we ingest your knowledge base, connect CRM and helpdesk tools, and test answers against a growing set of real questions before each demo.
- 04
Production + 90-day hypercare
We launch to a small share of traffic first, then scale up while monitoring answer quality, tuning prompts and filling content gaps for 90 days after go-live.
What a well-built AI chatbot actually does
A modern chatbot is no longer a decision tree with buttons. It reads the user's question, retrieves the most relevant passages from your knowledge base, and composes an answer in natural language that stays within the boundaries you set. When the question involves live data, such as an order status or an appointment slot, it calls your systems through secure APIs instead of guessing.
Equally important is what the bot refuses to do. We configure guardrails so it declines topics outside its remit, avoids giving advice it is not authorized to give, and escalates when its confidence is low. That discipline is what makes a chatbot safe to put in front of paying customers.
Why choose our AI chatbot development company
Every chatbot we deliver is built by engineers trained on one standardized stack, which means the integration code, admin screens and monitoring follow the same patterns as the rest of your software. If you later need a full AI customer support desk across WhatsApp and email, or a company-wide AI knowledge base, the foundation is already in place.
We also treat evaluation as part of the build, not an afterthought. Each release is checked against a test set of real questions with expected answers, so improvements are measured rather than assumed. You can read more about this discipline on our how we work page.
- Model-agnostic architecture with a swappable LLM layer
- Answers grounded in your content with visible sources
- Role-based admin access and audit logs for every conversation
- Deployment on cloud, private servers or a hybrid of both
Keeping customer data under control
Conversations often contain names, phone numbers and account details. We mask personal data in logs, restrict which records the bot can read, and store transcripts in your own database with retention rules you define. For organizations with strict privacy requirements, the same chatbot can run on a private local LLM so prompts and documents stay inside your infrastructure.
Industries served
Proven across industries
FAQ
AI Chatbot Development: frequently asked questions
Plan your AI chatbot
Share a sample of the questions your team answers every week and we will outline the intents, integrations and model options that suit your business.