Node-level truth about every workflow you run.
A workflow is only as good as its worst node. Workflow Intelligence breaks every pipeline into per-node statistics — latency percentiles, failure contribution, cost share, retry behavior — so optimization targets the actual bottleneck instead of the usual suspect.
The problems that pile up quietly.
A pipeline is "slow" but nobody knows which of its fourteen nodes is responsible.
One node contributes 80% of failures and 60% of cost, invisibly.
Optimization effort goes to the node someone guessed, not the node the data indicts.
What changes for your team.
Bottlenecks named, not guessed
Node-level latency percentiles show precisely where time goes. The "slow AI" turns out to be one HTTP node with a 9-second p95 — fixed in an afternoon.
Failure hotspots isolated
Each node’s failure contribution is tracked over time, so hardening effort concentrates where breaks actually originate.
Cost hot paths exposed
See which nodes consume the token budget. Often one enrichment step costs more than the rest of the workflow combined.
Live in minutes, not sprints.
Decompose the workflow
Auto-discovery maps every node, branch, and dependency in each workflow.
Measure per node
Every execution contributes per-node timing, outcome, and cost data, aggregated into live statistics.
Surface the outliers
Nodes that dominate latency, failures, or spend are flagged with their trend — and feed straight into the Recommendations feed.
See it on your own AI stack.
Connect in five minutes with read-only credentials. No code changes, no credit card.