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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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AI Chatbots

A Chatbot That Knows Your Business, Not a Generic Script

Most chatbots either stay stuck on a fixed decision tree or answer confidently with information that has nothing to do with your business. We build chatbots trained on your own products, policies and past conversations, connected to your real systems where useful, and designed to hand off to a person cleanly the moment a question needs one.

50+ ERP and software projects. Zero failed projects since 2021.

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Support Chatbot
Illustrative
Where is my order #10482?
Order #10482 dispatched yesterday and is expected in 2 to 3 working days. Would you like the tracking link?
The invoice amount looks wrong though
I have flagged this for our billing team with your order details. Someone will follow up within a business day.
Figures are illustrative
Trained
On your products and policies
Live
Data from your systems
4-6 wk
To a first working chatbot
Clean
Handoff when it should not answer
Why It Matters

The wrong chatbot is worse than no chatbot

A rigid script frustrates people with real questions. A generic AI answers fluently and wrongly. Both cost you trust.

Built on What You Actually Say

Trained on your products, policies and past conversations

Instead of a generic knowledge base, the chatbot is built from your product catalogue, your policy documents and the questions customers have actually asked before. That means it answers the way your business actually operates, not the way a template assumes it does.

  • Trained on your own product and policy content.
  • Shaped by real past customer conversations.
  • Answers reflect how your business actually runs.
A customer support conversation being handled
Knows When to Step Back

A clean handoff beats a confident wrong answer

The chatbot is designed to recognise when a question is outside what it should handle alone, such as a complaint or a pricing exception, and hand off to a person with the full conversation attached, so nobody repeats themselves.

  • Boundaries defined for what the chatbot answers alone.
  • Full conversation history passed on with the handoff.
  • No repeated questions when a person takes over.
A support agent taking over a conversation from a chatbot
In Conversation

What a real exchange looks like

A question answered from live data, and a case handed off the moment it needs a person.

Internal HR Chatbot
Illustrative
How many casual leave days do I have left this year?
You have 6 casual leave days remaining out of 12 for this year, based on your leave record.
I want to appeal my last performance rating
That needs a person to review. I have created a case with HR and shared this chat. Someone will contact you within 2 working days.
Figures are illustrative
How It Works

From your content to a chatbot people actually use

1
Gather the content
We collect your product, policy and past conversation content that the chatbot should know.
2
Connect the systems
Where useful, we connect it to your ERP or CRM so it can answer with real, current data.
3
Set the boundaries
We agree what it answers alone and what it hands off, with your team's input.
4
Test on real questions
It is tested against real past conversations before it talks to a real customer or employee.
5
Launch and improve
We review what it is asked after launch and extend its knowledge from real usage.
What It Handles

The conversations most businesses want covered

We start with your highest-volume questions, then extend as the chatbot proves itself.

💬

Customer support

Order status, returns, product questions and common issues answered around the clock.

👤

Employee self-service

Leave balances, policy questions and HR forms answered without an email to HR.

📦

Order and stock lookups

Live answers from your ERP on order status, delivery dates and stock availability.

💳

Pre-sales questions

Product fit, pricing tiers and specification questions answered before a lead reaches sales.

📋

Ticket triage

Understanding what a customer needs and routing it to the right team with context attached.

✅

Escalation handoff

A clean transfer to a person for anything sensitive, complex or outside its remit.

What Changes

What a chatbot built on your data changes

Faster
First response, any time of day
Fewer
Repeated questions to your team
Accurate
Answers grounded in your data
Clean
Handoff when a person is needed
Consistent
Tone and policy across every chat
Learning
From real conversations over time
Why Us

Why teams choose TCB Infotech for chatbot development

1
We connect it to real data
We build ERP systems, so the chatbot can check a real order or stock position, not guess at one.
2
Boundaries set upfront
We agree what the chatbot answers alone before launch, so handoffs are designed, not discovered.
3
Tested on real conversations
It is checked against real past questions before it talks to a real customer or employee.
4
Built to improve
We review real usage after launch and extend its knowledge from what people actually ask.
5
Model-agnostic build
We choose the approach that fits your data and hosting rules, with no lock-in to one vendor.
6
Proven delivery
50+ projects across industries, with zero failed projects since 2021.
FAQ

AI chatbot development questions

What makes a chatbot custom rather than off the shelf?
A custom chatbot is trained on your own products, policies and past conversations, and connected to your actual systems so it can look up an order or a stock position rather than give a generic reply. It is built for the specific questions your customers or employees actually ask.
Can the chatbot look up real data, like order status?
Yes, if you connect it to the relevant system. It can check an order status, a stock position or an account balance in your ERP or CRM and answer with the real, current figure rather than a general statement.
What happens when the chatbot cannot answer?
It is built to recognise the limits of what it should answer and hand off cleanly to a person, along with the conversation so far, rather than guess or loop the customer through the same question again.
Where can the chatbot run?
On your website, inside WhatsApp or another messaging channel, or as an internal tool for employees, depending on who it is built for and what it needs to access.
How do you keep it from giving wrong answers?
Answers about your specific policies and products are grounded in your own documents and data rather than general knowledge, and the chatbot is tested against real past conversations before it goes live.
How long does a first chatbot take to build?
A first version covering your most common questions usually takes four to six weeks, with system connections and less common questions added once it is live and being used.
In Short

Useful means grounded, current and honest about its limits

A chatbot earns trust the same way a good employee does: by answering accurately when it knows, and saying so plainly when it does not, rather than covering the gap with confident filler.

Built on your own content and connected to your systems where it matters, a chatbot handles the volume of repeated questions your team already knows the answers to, and leaves the judgement calls to the people who should be making them.

Give Your Chatbot Something to Actually Know

Book a free consultation. Tell us the questions your team answers most often, and we will show you what a custom chatbot would look like.

Book a Free Consultation →

No commitment. A practical look at the conversations worth automating.