CAPA Ticketing
CAPA Ticketing
A CAPA ticketing workflow initiation and follow-ups can be implemented from the available information in the
CAPASai platform and it builds a structured process that converts operational observations into measurable actions. Since the system already gathers rich data from AI-driven video analytics and, where required, IoT devices like safety lapse, housekeeping issue, workflow deviation, or equipment anomaly etc would be considered for CAPA ticketing.
A rule-based or AI-assisted CAPA module can periodically scan this data and automatically generate tickets when specific patterns or thresholds are met. For example, repeated occurrences of the same issue or any critical-level deviation can trigger immediate CAPA ticketing.
Each ticket would then be assigned to designated personnel based on outlet, department, or issue type. The ticket should guide users through the essential steps: describing the incident, identifying root causes, proposing corrective actions, and recommending preventive measures.
As actions progress, the system updates the ticket status and logs verification inputs, including IoT confirmations if applicable. Dashboards and reports then provide oversight across all outlets, ensuring transparency, timely closure, and continuous improvement.
