Most teams find out about problems when a customer complains, a metric tanks, or someone screenshots a Slack message. Mana OS detects the same pattern hours earlier — from the data, before the damage.
Mana OS turns raw noise into categorized operational awareness, scanning millions of data points to identify the moments that demand attention.
Shifts in customer behavior, support volume, and product usage patterns over time.
Churn indicators, SLA breaches, compliance gaps, and potential security threats.
Recurring complaints, usability friction patterns, and customer frustration markers.
What customers are asking for, automatically aggregated across thousands of conversations.
Anything that breaks the normal pattern in your operational and system data.
Signals runs continuously against every connected source — support tickets, product events, CRM records, documents, and conversations.
There are no dashboards to build, and no queries to write. Mana OS synthesizes the entire stream of incoming data to spot issues the moment they emerge.
Signals aren't just a list. Related signals are automatically grouped into clusters — such as product friction, revenue risk, or customer retention — and rolled up by department, ensuring you never miss the broader narrative.
Validate the signal and push it into the team's operational workflow.
Re-assign ownership, change priority, or modify the suggested next step.
Dismiss the signal. The system learns from this to improve future accuracy.
Every critical detection enters a human-in-the-loop review queue. Your team can confirm, discard, or adjust the findings. Mana OS is designed to surface intelligence, but your team always remains the final authority on operational decisions.
Signals tracks its own quality over time — coverage, freshness, and accuracy — so you can trust the system is running well. It automatically scores its performance based on user acceptances and feedback.
SIGNALS → INVESTIGATION
Every signal links directly into Ask Mana. From there you can seamlessly transition from observation to reasoning, digging deeper into the contextual evidence to build a full understanding.
Connect your first data source and see your first signals within an hour.