Ref 2c

AI Performance, Risk and Escalation Reporting

This document states how IndusLabs intends to monitor AI performance and operational risk, and how notable exceptions should escalate to the right operational owners.

Purpose

Describe KPI monitoring, incident reporting, management reporting cadence, and escalation triggers.

Scope

Customer-facing AI interactions that produce voice, text, or workflow decisions.
Performance indicators such as latency, failures, output quality, and safety exceptions.
Internal reporting expectations for material operational issues.

Published Commitments

Teams should define recurring metrics for service health, quality, and harmful-output monitoring.
Material deviations should trigger internal review and escalation according to severity.
Management reporting should be refreshed on the stated cadence for active systems.