Insights
Analyzers on your ingested data — bottleneck delays, knowledge concentration, process drift, and merged autonomous signals.
Autonomous insights
Merged signals from bottleneck, graph, and workflow analyzers on your workspace
Proactive organizational intelligence — evidence-backed signals from your data
Generate insights after workflows and graph data exist.
Bottleneck intelligence
Handoff delays between workflow stages (e.g. PR review → merge) computed from your reconstructed workflows
Deterministic handoff delay analysis from reconstructed workflows
Connect sources and sync events first. Bottleneck analysis runs on reconstructed workflows from your data.
Knowledge risk
Where activity concentrates on few people or repos — continuity planning, not employee scoring
Continuity and dependency visibility — build graph and analyze workflows first
Ingest events and build the graph first. Knowledge risk analyzes actor and repo concentration in your data.
Process mining
Compares observed workflow paths in your data against built-in process templates
Evidence-backed observed vs expected process comparison — not employee performance scoring
Process mining compares observed workflow paths in your data against built-in templates. Connect and sync sources first.
Run workflow reconstruction first, then analyze processes. Use Run Full Demo Pipeline for one-click setup.