Four core automation patterns for this operating system. Each flow shows where AI acts, where business rules apply and where human approval remains mandatory.
These are implementation patterns, not claims that a specific company already uses the system. They must be adapted to the actual software stack, permissions, data and policies before launch.
Message arrives from supported channel
→Language and intent are detected
→Knowledge is retrieved
→Case is routed to AI response or human queue
Risk, sentiment or policy trigger is detected
→AI stops autonomous resolution
→Human receives full context and suggested next step
→Final resolution is logged
Open ticket reaches SLA trigger
→Current owner and blockers are checked
→Reminder/escalation is created
→Customer receives approved status update
Resolved conversations are classified
→Recurring topics and gaps are detected
→Knowledge/SOP improvements are proposed
→Manager approves updates