A public library of business events and the workflows that should fire.

Asset A7 bearing temperature sensor crosses 95 degrees Celsius at 14:32. Pattern consistent with early-stage bearing failure in 94 percent of historical matches. Predicted unplanned downtime in 18 days if no intervention. Current state: no workflow fires. Maintenance team will find out when the asset fails.

• Classify event severity and asset criticality tier automatically
• AI analysis: match against historical failure patterns at 94 percent confidence
• Auto-generate maintenance work order in EAM or ERP system
• Dispatch nearest qualified technician with parts inventory pre-check
• Record event, action, outcome and cost in your operations log

Shipment tracking deviation detected. Projected delivery is six hours outside the contracted SLA window. The breach has not occurred yet. Current state: no workflow fires at this detection point. The organisation will respond reactively after the breach triggers a customer complaint.

• Calculate SLA breach probability and time window available for intervention
• Identify alternative carrier or route options from pre-approved list automatically
• Trigger re-routing approval workflow to operations team with recommended option
• Proactively notify customer with updated ETA before they notice the delay
• Log event, action, outcome and cost impact to carrier performance scorecard

High-value group booking inquiry received outside business hours. No response after fifteen minutes. Historical data shows 62 percent of similar inquiries are abandoned after 30 minutes without any contact. Current state: inquiry sits in a shared inbox. Nobody is notified. The booking window closes.

• Classify inquiry value and urgency tier at point of receipt before any delay occurs
• Auto-send personalised acknowledgement with availability snapshot within two minutes
• Escalate to on-call sales manager if no human response in fifteen minutes
• Trigger rate intelligence check against competitor availability and current pricing
• Record the outcome booked, abandoned, or converted in your revenue management system

End of period analysis flags a payment behaviour change correlating with 78 percent default probability within 45 days. The model runs monthly. By the time the relationship manager sees it, the data is already three weeks stale and the intervention window has narrowed significantly.

• Detect payment pattern shift and run AI risk classification in real time
• Cross-reference with portfolio exposure, covenant terms and credit limits
• Alert relationship manager with recommended intervention brief and available options
• Trigger compliance review workflow if regulatory thresholds are crossed
• Record the decision, intervention and outcome in your risk management system

Fleet vehicle battery health score drops below the minimum required for a scheduled long-distance route six days before the departure date. Current state: no workflow fires. The fleet manager will discover the issue during pre-departure checks, triggering a reactive scramble for a replacement vehicle.

• Detect battery health threshold breach against the route schedule calendar
• Cross-reference fleet dispatch schedule for impact window and severity assessment
• Auto-schedule service appointment before departure date without manual intervention
• Notify driver and fleet manager simultaneously with the recommended action
• Update fleet availability in dispatch system and trigger route re-assignment if needed

Statistical process control chart detects production line drift at two standard deviations from baseline. The first defective unit has not yet been produced. Current state: supervisor check is scheduled for end of shift. By then dozens of units will have passed through and the quality hold applies retrospectively.

• Detect SPC drift reading and classify against process control parameters immediately
• AI root cause analysis against historical failure patterns and current material batches
• Alert line supervisor immediately with a specific process adjustment recommendation
• Trigger quality hold workflow automatically if confidence threshold is exceeded
• Notify supply chain if incoming material input is identified as a contributing root cause