Anomaly detection and alerting

Problem

Metric problems are discovered in weekly reviews, days after the damage is done. Manual threshold alerts create noise without context, and teams waste time investigating false alarms.

Solution

The AI agent learns normal metric patterns and detects genuine anomalies using statistical models—not simple thresholds. When an anomaly is detected, it automatically investigates correlated metrics and delivers an alert with probable root causes.

Benefits

• Detect metric anomalies in minutes, not days
• Smart detection reduces false alarms
• Automatic root cause investigation
• Actionable alerts with context, not just numbers

How to get started

1. 1

   Connect data sources

   Link your data warehouse, analytics platform, or business intelligence tool.

2. 2

   Select metrics and sensitivity

   Choose which metrics to monitor. Set sensitivity levels: tight for revenue, looser for volatile metrics.

3. 3

   Configure alerts

   Route alerts to Slack, email, or PagerDuty with root cause context. Set escalation rules for critical metrics.

Recommended tools

Monte Carlo, Akkio, Tableau Pulse. See the full list on the AI Data Analyst Agent pillar page.