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AI Chatbots

Custom AI Chatbot: 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.

  • TrainedOn your products and policies
  • LiveData from your systems
  • 4-6 wkTo a first working chatbot
  • CleanHandoff when it should not answer

Why It Matters

The wrong chatbot is worse than no chatbot

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 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.

The conversations most businesses want covered

  • 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.

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 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 teams choose TCB Infotech for chatbot development

  • 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.

  • Boundaries set upfront

    We agree what the chatbot answers alone before launch, so handoffs are designed, not discovered.

  • Tested on real conversations

    It is checked against real past questions before it talks to a real customer or employee.

  • Built to improve

    We review real usage after launch and extend its knowledge from what people actually ask.

  • Model-agnostic build

    We choose the approach that fits your data and hosting rules, with no lock-in to one vendor.

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.

Related

The other services in this section, and related pages from TCB Infotech.

Give Your Chatbot Something to Actually Know

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