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Codemotives

AI & Data

Chatbots Customers Actually Use

Conversational assistants for customer support, sales and internal teams, designed around real questions, clean handoff to people and ongoing improvement.

Get in touchHow we work

Overview

AI Chatbot Development

An AI chatbot succeeds when it resolves real questions and knows when to step aside. We start from your actual conversation history and support content, map the intents that matter, and design flows that blend generative answers with deterministic steps for things like order lookups or bookings. We test with real transcripts before launch, not only scripted examples.

We build the chatbot across your channels, such as website, app, messaging or internal tools, and connect it to the systems it needs. Handoff to a human agent carries full context, and conversation analytics show where users get stuck, so the chatbot improves instead of quietly frustrating customers. Over time, those insights guide content updates and new flows.

Context

Problems we solve

  • 01

    Dead-end conversations

    Bots that cannot escalate frustrate users. We design clear handoff to a person with the conversation attached.

  • 02

    Out-of-date answers

    Stale content creates wrong replies. We connect the bot to maintained sources and set up a review routine.

  • 03

    Off-topic or risky replies

    Open-ended bots can say things you do not want. We set topic boundaries, tone rules and fallback responses.

  • 04

    No feedback loop

    Without analytics, issues stay hidden. We track unresolved questions and use them to improve content and flows.

Capabilities

What we deliver

  1. 01

    Conversation design

    We map intents, tone and fallback paths from your real support data before building.

  2. 02

    Knowledge-grounded answers

    We connect the bot to help articles and policies so replies are based on your content.

  3. 03

    System integrations

    We link the bot to CRM, helpdesk, order and booking systems so it can look things up and act.

  4. 04

    Human handoff

    We route complex or sensitive chats to agents with transcript and context preserved.

  5. 05

    Multichannel deployment

    We deploy to web, mobile apps and common messaging platforms from a shared backend.

  6. 06

    Analytics and tuning

    We provide dashboards for resolution, drop-off and unanswered questions to guide improvements.

Where it fits

  • Order status and returns support
  • Lead qualification on a website
  • Internal HR and IT help desk
  • Appointment booking assistants
  • Product guidance inside an app

Technologies we use

  • OpenAI API
  • Rasa
  • Dialogflow
  • LangChain
  • Node.js
  • WebSocket
  • Twilio
  • Zendesk API

Approach

How we deliver

  1. 1

    Discover

    We learn your goals, users, constraints and existing systems before proposing anything.

  2. 2

    Plan

    Scope, priorities, architecture and milestones are agreed so everyone knows what ships when.

  3. 3

    Design

    User flows, interfaces and technical design are shaped and reviewed with you early.

  4. 4

    Build

    Work is delivered in short iterations with regular demos, so progress is always visible.

  5. 5

    Test

    Functional, integration and performance checks run throughout, not only at the end.

  6. 6

    Launch & support

    We deploy, monitor and keep improving the product after it goes live.

FAQs

Common questions

Have a question that is not covered here? Get in touch.

Will the chatbot replace our support team?

Usually it handles routine questions so your team can focus on complex ones. We design it to hand off cleanly, and we do not recommend removing human support for sensitive issues.

How do you stop the bot from making things up?

We ground replies in your approved content, limit the topics it will discuss and use fallbacks when confidence is low. We also review real conversations after launch to catch problems.

How long does it take to build a chatbot?

Timelines depend on the number of intents, the systems it must integrate with and the channels you need. A focused first version on one channel is often released first, then expanded from real usage.

Explore

Keep exploring

Let's build what's next

Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.

Get in touch