Insights dashboard
Real-time view of workflow volume, success rates, execution time, and saved-time trends, at workspace, workflow, and agent granularity.
Platform · Observability
Every decision logged.
Every step reversible.
Real-time visibility into workflow performance, success rates, and saved-time trends, with an audit trail exhaustive enough for the auditor, the regulator, and the post-incident review.
The primitives
What's inside observability.
Six building blocks between a running workflow and a coherent operational picture, designed for product, operations, and compliance teams together.
Execution traces
End-to-end traces for every run. Inputs, decisions, reasoning, outputs, and side-effects, navigable, searchable, and replayable.
Signed audit log
Every call, argument, decision, and output recorded and cryptographically signed. Immutable by default; exportable to your evidence store.
Metrics & SLOs
First-class SLOs for success rate, latency, and cost. Alerts route to the on-call channel your team already uses.
Workflow analytics
Before/after comparisons, saved-time history, and workflow-version A/B outcomes surfaced as data, not rebuilt as one-off reports.
Export & retention
Native integrations with Datadog, Splunk, Elastic, and your SIEM. Retention and redaction enforced by policy at export time.
Observability in numbers
What teams see when they turn it on.
0%
Audit coverage
0s
Rollback latency
0/7
Live monitoring
0x
Faster incident response
Capabilities
What you can do with observability.
Six capabilities that turn an opaque agent fleet into a legible, operable, auditable system, for product, ops, and compliance together.
Live workflow health
Total, active, disabled, running, succeeded, failed, cancelled, at a glance. Drill into any workflow from the dashboard; navigate to the execution in two clicks.
Saved-time trends
Workspace-level "saved time" history across configurable periods, daily, 7-day, 30-day, monthly. Export to SVG, PNG, or CSV.
Execution inspection
Replay any execution. Inspect plans, sub-plans, tool calls, and outputs. Identify the exact step where a workflow drifted, and the reason it did.
SLOs & alerting
Set success-rate, latency, and cost objectives per workflow. Alerts route to Slack, PagerDuty, or your SIEM, on the signal you actually care about.
Audit export
Stream evidence into your SIEM or evidence store. Retention, redaction, and signing governed by policy, not by convention.
Compliance reporting
Generate regulator-ready reports from the same audit trail that runs production. No parallel reporting pipeline; no month-end reconciliation project.
How it works
From a running step to a coherent picture.
Three stages transforming raw workflow activity into an operational picture anyone in the business can act on.
- 01
Capture
Every plan, routing decision, tool call, policy check, and output emitted as structured, signed telemetry. Nothing sampled, nothing dropped.
- 02
Aggregate
Telemetry aggregated into dashboards, traces, and metrics in real time. Product, ops, and compliance views share one source of truth.
- 03
Act
Alerting, rollback, and evidence export close the loop, detect anomalies, mitigate immediately, and respond to audits without reconstructing state.
In production
How teams use observability.
Six live patterns across product, operations, and compliance, all reading the same telemetry.
Workflow performance dashboards
Executive and ops dashboards tracking total, active, and disabled workflows with saved-time history. Drill into any run, in any period, from the top-level tile.
Impact Ops visibility continuous, not weekly
Execution replay
Replay a production execution step by step. Inspect plans, tool calls, and outputs in context, answering "what happened?" in minutes, not meetings.
Impact Post-incident review hours, not days
SLO-driven operations
Success-rate, latency, and cost SLOs per workflow. Alerts route to the on-call channel; rollback is one click away when signals drift.
Impact Mean time to mitigation seconds
Compliance & audit evidence
Stream signed evidence into your SIEM or evidence store. Regulator-ready reports come from the same log that runs production, no parallel pipeline, no month-end scramble.
Impact Evidence always ready
A/B & canary outcomes
Before/after comparisons on workflow-version changes. Promote on evidence, roll back on evidence, and tell your product team which change drove the lift.
Impact Promotion decisions on data
Cost observability
Per-workflow, per-agent, per-connector cost surfaced alongside performance. Decisions about which agent to use, which model to call, and which workflow to deprecate become data-driven, not lore-driven.
Impact Cost-per-outcome measured continuously
Why observability matters
The gap between demo-grade AI and production.
If it wasn't logged, it didn't happen
Regulators, auditors, and post-incident reviewers all reconstruct state from evidence. Observability that samples, drops, or redacts is observability you cannot defend.
Opaque agents cannot be operated
Without execution traces and SLOs, every incident becomes a forensic exercise. Visibility is the difference between an operable system and a risk.
Compliance is a property of the log
Audit-grade evidence comes from the same log that runs production, not a parallel reporting project that diverges within weeks.
Improvement requires measurement
You cannot improve what you cannot measure. Before/after, A/B, and saved-time trends turn intuition into attributable operational lift.
Let's talk
See observability
See observability
on your workflows.
30-minute technical walkthrough. Your architects, our platform engineers.