bi-risk-detector

name	bi-risk-detector
description	Monitors a defined set of risk indicators across the customer portfolio and generates prioritised risk alerts. Combines leading indicators from usage and health data with event-based triggers like champion departure, support escalation, and missed meetings. Use when asked to identify at-risk accounts, build a risk queue, set up churn early warning, monitor renewal risk, create risk dashboards, prioritise CSM intervention, or when any workflow needs to know which accounts require immediate attention. Also triggers for churn prediction, risk scoring, and portfolio risk assessment.
license	MIT
metadata	{"author":"Stephen Rogan","version":"1.0.0","pillar":"book-intelligence","category":"detection-layer"}

Risk Signal Detector

Monitors risk indicators across the portfolio and generates prioritised alerts. Part of the Book Intelligence detection layer -- consumes data from the Health Score Engine and Usage Pattern Monitor, produces a ranked risk queue for human triage.

This is a detection and prioritisation skill. It identifies signals, scores severity, and ranks accounts for human attention. It never initiates customer contact, triggers save plays, or makes intervention decisions. Those are human territory.

When to Run

• Event-based triggers: Near-real-time monitoring via webhooks or event streams for champion departure, P1 support tickets, declined meetings, competitive mentions
• Metric-based triggers: Scheduled cadence aligned with Health Score Engine (daily for high-touch, weekly for scaled)