See what matters — not just what happened
EngagementOS turns raw activity into prioritised insights, so managers know where to intervene first.
Recognition Pulse
Spot drops in recognition rhythm before they become disengagement.
From signals to actions to outcomes
EngagementOS detects what managers miss, analyses patterns across teams, and recommends the next best step — so you act before disengagement shows up in exit surveys.
What we detect
Participation drops, recognition lags, sentiment divergence, and milestone gaps — so risk is visible early.
What we analyse
Team health trends, collaboration networks, and at-risk indicators — so you see the full picture, not just the last event.
What we recommend
Manager nudges, recognition prompts, and intervention priorities — so the right person gets the right cue at the right time.
EngagementOS dashboard: health scores, people in focus, and suggested next steps — so managers know where to intervene first.
How EngagementOS works
Signals flow in, the agent analyzes continuously, and insights surface where they matter.
Signals In
Insights Out
Engagement Engine
Works continuously in the background — analyzing team health trends, collaboration networks, and at-risk indicators to generate recommendations.
- •Pattern detection and risk scoring
- •Bias-free: analyzes data patterns without subjective judgment
- •Learns and adapts to your organization over time
Before vs with EngagementOS
Without EngagementOS
- Engagement blind spots
- Surprise exits and quiet quitting
- Manual guesswork and gut feel
- Annual surveys that arrive too late
- Recognition forgotten or inconsistent
With EngagementOS
- Real-time engagement signals
- Early risk alerts before it's too late
- AI-driven action recommendations
- Continuous intelligence from daily activity
- Proactive nudges at the right moment