AI & Automation
Alerts & Operational Intelligence
2–6 weeksAnomaly detectionDemo
Expected rangeNormal behaviorOut of range · it alerts
Drop detected
−58%
vs. expected
Time to alert
<2 min
real time
False alarms
1%
no needless noise
You shouldn't find out something changed when it's already too late, nor need an analyst to understand what changed and why.
We continuously monitor your key metrics, detect anomalies and significant changes, and turn them into interpretable alerts and narratives that reach the right person — before the problem becomes visible. From sales drops to pipeline failures or operational deviations. Technically: statistical change detection (mean, variance, distribution) and anomaly detection on operational time series, contribution analysis and variance decomposition, LLM-generated narratives over structured context, and routing by channel and severity (email, Slack, webhook) with a status dashboard.
Use cases
- —You need to know in real time when a key metric drops below a threshold
- —You want to detect anomalies or unusual behavior in your operational data
- —Your analysts spend time searching for what changed in the data this week
- —You want leadership to automatically receive the most important variations, already interpreted
- —You need failure or degradation alerts on pipelines, integrations, or internal systems
Deliverables
- —Metrics monitoring system with configurable threshold rules
- —Anomaly and statistical change detection on operational time series
- —Automatic contribution analysis and interpretable LLM-generated narratives
- —Alert routing by channel and severity (email, Slack, webhook)
- —Operational status dashboard with alert and insight history
- —Documentation of rules, thresholds, and response protocol