For COOs who need to catch problems before KPIs drop
AI meeting intelligence for COOs who need to catch problems before KPIs drop
Leap gives COOs a leading indicator of execution problems from the management meeting itself, so you see the breakdown in process before it shows up as a missed target in the quarterly review.
What Leap is
Leap is AI meeting intelligence for managers. It sits in your 1:1s, standups, and planning sessions, captures every decision and owner as it happens, and tracks whether the work actually moved.
What it solves when KPIs are a lagging indicator
By the time a KPI drops, the cause has usually been compounding for weeks. The decisions that should have been made were not. The owner who should have acted did not. The blocker that surfaced in a standup went unresolved. Those are meeting-level events, and they happen before any dashboard reflects them. Leap captures those events from the meeting itself, giving you a view of where execution is breaking down before it breaks.
Why COOs who need to catch problems before KPIs drop choose Leap
See execution risk in the meetings, not the dashboards
Dashboards show you what happened. Meetings are where what is going to happen gets decided. Leap captures the signals in those management conversations: decisions that do not close, commitments that cycle without resolution, blockers that remain open week after week.
On average, 30% of management meetings are identified as producing no clear decision or unresolved blockers. Those are your early warning signals.
Act on management signals before teams start missing targets
When Leap surfaces a pattern of unresolved ownership in a team's meetings, you have a window to intervene before that pattern produces a missed deadline. That window closes the moment the KPI moves.
Companies using Leap see a 12% improvement in decision speed across their management layer.
Build a proactive management discipline, not a reactive one
Organizations that catch execution problems early develop a different management culture than those that diagnose after the fact. Leap builds the habit of addressing issues when they appear in meetings rather than when they appear in results.
75% of managers show measurable progress when they can see their own execution patterns.
Common questions
We have a strong data and analytics function. Is Leap duplicating that?
Your analytics function tells you what happened and why. Leap gives you a signal from the management meeting before anything has happened. The two are complementary: Leap is the early warning layer, your analytics function is the diagnostic layer.
Our managers would push back on being flagged before a problem is confirmed.
Leap surfaces behavioral patterns in meeting data, not individual performance flags. The conversation with a manager is: here is a pattern in your team's meetings, let us look at it together. That is a development conversation, not a performance conversation.
Move from reactive KPI management to proactive meeting intelligence
Book a demo to see how Leap gives COOs early warning signals from management meetings.