How to Create AI-Driven Workflows Over Your Data
This video adds an AI-driven workflow to an existing support ticket process, without replacing your portal or rebuilding your systems. Every new ticket gets analyzed, categorized, routed, and supported automatically, using the m-Power Development Platform.
What you'll learn
You'll see a chain of single-purpose AI assistants wired into a ticket workflow, each doing one job behind the scenes. Here's what the build covers:
Categorize every ticket automatically
An AI assistant reads each new ticket and tags it by type, priority, and tone, including whether a customer sounds angry.
Route tickets to the right rep
A routing assistant checks staff workloads and ticket priority, then assigns each ticket to the best-suited person.
Notify the right person instantly
An automated email step sends the assigned rep a deep link to the ticket, with the ticket ID pre-filled.
Suggest handling steps from your policies
A suggestions assistant consults your knowledge base through tool functions and returns three tailored ways to handle the ticket.
Control what each assistant can see
You choose which LLMs run, what data each assistant reads, and how outputs get written back, so the workflow stays auditable.
Chain single-purpose assistants
Each assistant handles one job, classify, route, or suggest, which makes the workflow easier to build and easier to trust.
See AI workflows run over your data
We'll walk through m-Power live, using your data and your use case, and answer any questions your team has.