Service
AI Chatbot Development.
Chatbots that answer from your own knowledge, connect to your systems and hand over to a person when it matters, for customer support, sales and internal teams.
What is a custom AI chatbot?
A custom AI chatbot is a conversational assistant built around your business. It uses a large language model to understand questions, retrieves answers from your documents and systems so it does not guess, and can take actions such as looking up an order or booking a meeting. Qodexify builds chatbots with human handoff, guardrails and analytics. A typical pilot takes 2–6 weeks and costs roughly $8,000–$30,000.
What’s included
What a production chatbot needs
Answers grounded in your content
Retrieval from your help centre, policies and product data, with source links, so answers are accurate and current.
Where your customers are
Website chat, in-app assistants, WhatsApp, Slack, Microsoft Teams or email, using one shared brain.
Smooth human handoff
Complaints, cancellations and complex cases go to a person with the full conversation attached.
Connected to your systems
CRM, helpdesk, order and booking systems, so the bot can act, not just talk.
Guardrails and privacy
Scoped permissions, refusal rules, data minimisation and logging built in from day one.
Analytics and improvement
See what customers ask, where the bot fails and what to fix next, with an evaluation set to prevent regressions.
Our approach
How a ai chatbot development project runs
Find the questions
We analyse real tickets and chats to pick the highest-volume, lowest-risk topics first.
Prepare the knowledge
We clean and structure your content and decide what the bot may and may not do.
Build and test
We build the bot, connect your systems and test against a set of real questions.
Launch and improve
Gradual rollout, weekly review of conversations and steady expansion of topics.
Use cases
Chatbot use cases
Common projects where this service delivers the fastest return.
Customer support
Resolve order status, returns, billing and how-to questions around the clock.
Sales and lead qualification
Answer pre-sales questions, qualify visitors and book calls with the right salesperson.
Internal IT and HR helpdesk
Give employees instant answers on policies, benefits, access and equipment.
E-commerce advisor
Help shoppers find products, compare options and complete purchases.
Onboarding and training
Guide new customers or staff through set-up with step-by-step help.
Appointments and bookings
Check availability, book and reschedule, and send confirmations.
Cost & timeline
Typical timeline and budget
Indicative ranges for projects of this kind. Final pricing depends on the number of integrations, channels and compliance requirements.
| Project type | Typical timeline | Typical budget |
|---|---|---|
| FAQ chatbot on your content | 2–3 weeks | $8k–$15k |
| Support agent with system integrations | 4–6 weeks | $15k–$30k |
| Multi-channel bot with handoff and analytics | 6–10 weeks | $25k–$50k |
FAQ
Frequently asked questions
How is a custom chatbot different from an off-the-shelf one?
Off-the-shelf bots are quick to set up but limited to their templates. A custom chatbot is built around your content, workflows and systems, so it can answer precisely and take real actions.
How do you stop the chatbot from making things up?
We ground answers in your approved content with retrieval, instruct the bot to say when it does not know, show sources and test with a set of real questions before launch and after every change.
Can the chatbot hand over to a human?
Yes. Handoff rules are part of the design. The conversation history moves to your team in your helpdesk or inbox, so customers never repeat themselves.
Which languages and channels do you support?
Modern language models handle many languages well. We deploy to your website, apps and messaging platforms such as WhatsApp, Slack and Teams, depending on your audience.
Is our data safe?
We apply least-privilege access, minimise the data sent to model providers and can use private or regional deployments for sensitive data. See our guides on AI guardrails and private AI.
How long until we see results?
A working pilot typically takes 2 to 6 weeks, and you can then improve it weekly based on real conversations.
From the blog
Guides on this topic
How to Use AI for Customer Support Without Hurting the Customer Experience
A practical guide to AI customer support: what to automate, what to keep human, how to ground answers in your knowledge base and how to measure whether it works.
AI Agents vs. Chatbots: What Is the Difference and Which Do You Need?
A chatbot answers questions. An AI agent completes tasks. Here is how they differ, where each fits, and how to deploy agents safely.
What Is RAG? Retrieval-Augmented Generation Explained for Business Leaders
RAG lets AI answer from your own documents instead of guessing. How it works, when to use it, and where projects go wrong.