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AI & Automation ToolsMicro Business#223

AI Customer Support Bot

An AI support bot trained on your product docs that answers customer questions instantly and hands off to a human — with a ticket — when it can't.

Project snapshot

Starting at
₹1,00,000$1,400
Delivery
35 days
Status
Draft
Tech stack
Next.js + OpenAI + LangChain

From your docs

Answers

To human

Handoff

Tickets

Creates

35 days

Delivery

Overview

AI Customer Support Bot ingests your help docs and product content, then answers customer questions in natural language on your site. When a question is out of scope or the customer asks, it hands off smoothly to a human and creates a support ticket.

It is built for teams drowning in repetitive support questions who want to deflect the easy ones automatically while making sure nothing important falls through the cracks.

The problem

Support teams answer the same questions endlessly, and customers wait for replies that a good knowledge base could give instantly. This bot answers from your own documentation around the clock and escalates cleanly when a human is genuinely needed.

Who it's for

  • SaaS and product teams with a growing volume of support questions.
  • Businesses that want 24/7 first-line support without more headcount.
  • Support leads who want to deflect repetitive questions and keep an audit of escalations.

Features

Trained on your docs

The bot answers from your own product documentation and help content, so replies are accurate and on-brand.

FAQ auto-answer

Common and repetitive questions are answered instantly in natural language, deflecting routine tickets.

Human handoff

When a query is out of scope or the customer asks, the conversation is handed to a human without losing context.

Ticket creation

Escalations automatically create a support ticket with the conversation attached, so nothing is lost.

Embeddable widget

A chat widget drops into your site so customers get help where they already are.

User stories

  • As a customer, I want instant answers so that I don't wait for support.
  • As a support lead, I want repetitive questions deflected so that my team focuses on hard cases.
  • As a customer, I want to reach a human when needed so that complex issues get solved.
  • As a team, I want escalations to create tickets so that follow-ups are tracked.

User flow

  1. 1

    Customer asks

    A customer types a question into the chat widget on your site.

  2. 2

    Bot answers

    The bot responds from your documentation with a relevant answer.

  3. 3

    Escalate if needed

    Out-of-scope questions or explicit requests trigger a handoff to a human.

  4. 4

    Ticket created

    The escalation opens a ticket with full conversation context.

Architecture

A Next.js application using an LLM via the OpenAI API, orchestrated with LangChain. Your documentation is indexed so the bot retrieves relevant content and answers grounded in it rather than guessing.

A confidence and scope check decides when to answer directly versus hand off, and escalations create tickets with the conversation attached.

The chat widget is embeddable and the knowledge base can be refreshed as your docs change.

Tech stack

FrameworkNext.js
AIOpenAI API + LangChain
Knowledge baseIndexed product docs (retrieval)
BackendDatabase for tickets and conversations
HostingVercel / cloud hosting

Data model

EntityFields
Documentid, source, content, embedding
Conversationid, customerId, messages, resolved
Ticketid, conversationId, status, assignee, createdAt

Build plan

  1. Week 1 — Ingestion & retrieval

    ~7 days

    Document ingestion, indexing, and grounded answering.

  2. Weeks 2–3 — Chat & handoff

    ~14 days

    Chat widget, scope detection, and human handoff.

  3. Weeks 4–5 — Tickets & launch

    ~14 days

    Ticket creation, admin review, evaluation, QA, and deployment.

Deliverables

  • Deployed AI support bot with embeddable widget.
  • Knowledge base built from your documentation.
  • Human handoff and ticket creation.
  • Full source code and setup documentation.

Integrations

  • OpenAI (or compatible LLM) for answering.
  • Your help docs / knowledge base as the source.
  • Optional: existing helpdesk (e.g. ticketing tool).
  • Optional: Slack or email alerts on escalation.

FAQ

Where do the answers come from?

From your own product documentation, which is indexed so the bot answers grounded in your content.

What happens when the bot can't help?

It hands off to a human and creates a ticket with the full conversation attached.

Can I update its knowledge?

Yes. The knowledge base is refreshed as your documentation changes.

Can it plug into our existing helpdesk?

Yes. Ticket creation can integrate with your current helpdesk as a scope option.

Want AI Customer Support Bot built for you?

Share your requirements and CodersArts Build will scope it into a fixed timeline and price, starting at ₹1,00,000.

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