How to Make an AI Chatbot That Understands Your Business
Most chatbots can hold a conversation but know nothing about your business. This video shows how to add a support chatbot to an existing ticket page that reads your real data, using the m-Power Development Platform. Your reps get one screen that understands the ticket, knows the customer's history, updates orders, and drafts replies.
What you'll learn
This video builds a working support chatbot over an existing ticket page, then shows the routing that ties it together. Here is what you'll see it do:
Recommend next steps from your rules
The chatbot reads the open ticket and suggests how to handle it, drawing on your policies and knowledge base rather than generic advice.
Customer history in one place
Past orders and account history appear right on the ticket page, so reps stop hopping between systems to piece a story together.
Update order records with confirmation
Status and detail changes write straight back to your database, and only after the rep confirms, so the bot never edits data on its own.
Live tracking on request
When a customer asks where their order is, the bot returns current tracking and event history instead of sending the rep off to look it up.
Draft on-brand replies on demand
Reps get a polished response email they can adjust and send in seconds, written from the ticket context and your tone.
Route each request to the right assistant
A routing agent reads the rep's question, keeps context between turns, and hands it to focused assistants for tickets, orders, tracking, and email, each with controlled access to only the data it needs.
See what an AI chatbot could do over your data
We'll walk through m-Power live, using your data and your use case, and answer any questions your team has.