YundaDeskTell AI your support rules, and it generates revertible workflows
YundaDesk turns automation from “building flows” into “describing rules.” Knowledge base creation, tickets, smart routing, handoff to human, and learning loops can be driven by conversation and confirmed before launch.
Turn operating rules into executable, governable automation
Conversational setup
Skip complex flowcharts at the start. Tell AI which channels to handle, how to route, and when to hand off to humans.
Self-building knowledge base
Generate knowledge from product data, shipping policies, after-sales rules, and agent follow-up answers, then confirm it before use.
Tickets and smart routing
Automatically create tickets, assign agents, or escalate to humans by channel, language, risk, and order status.
Revertible closed loop
Every automation change has a source, test path, on/off control, and rollback so AI does not become a black box.
From one rule to a running closed loop
Describe your operating rules
Tell AI in conversation which questions to answer automatically, which ones become tickets, and which actions require handoff to human.
Generate a workflow draft
The system turns rules into knowledge base entries, routing, tags, approvals, and handoff nodes for preview before launch.
Keep learning from human answers
Useful agent resolutions enter a review queue and become new revertible skills after confirmation.
Automation triggers from real conversations and learns from human handling
The Omnichannel inbox provides the entry point, the three-state AI agent handles judgment and drafting, and automation turns outcomes into tickets, routing, handoff to human, and knowledge base updates. Every human follow-up answer becomes material for the next learning cycle.
FAQ
Do I need to understand a workflow editor?
No. The first phase focuses on conversational setup: describe operating rules clearly, then let the system generate an inspectable workflow draft.
Where does knowledge base content come from?
It can come from product data, shipping policies, after-sales rules, agent follow-up answers, and owner-approved learning suggestions.
What if automation makes a mistake?
Every workflow and learning item supports pause, test, run replay, and rollback so you can control it before scaling.
Turn repetitive handling into reusable AI skills
Start with one rule, then let the knowledge base, routing, and human backup run together.