Insights

Measure what operational AI is delivering.

Insights gives you visibility into workflows, execution quality, adoption, and operational outcomes across Opal.

Avg responselive
842ms
−42% vs last 30 days
Flows completed
73%
+128 today
Tools called / hour1,284
Token consumption7d
Why it matters

Automation without measurement creates activity, not accountability.

Without measurement, AI investment is hard to defend and harder to improve. Insights tie operational AI to outcomes leaders actually track.

Outcomes leaders can actually track
How it works

From setup to live workflow.

  1. Step 01

    Instrument workflows

    Insights are captured automatically from every flow, agent, and task.

  2. Step 02

    Pick the view

    Look at adoption, cycle time, exceptions, or outcomes by team or workflow.

  3. Step 03

    Spot what to fix

    Identify bottlenecks, error patterns, and the highest-leverage improvements.

  4. Step 04

    Report and decide

    Share dashboards with leadership and use them to prioritize what to build next.

What it does

What Insights help you do.

  • 01Track workflow progress and cycle times
  • 02See bottlenecks and exceptions earlier
  • 03Monitor adoption and usage trends
  • 04Connect platform activity to operational goals
  • 05Improve workflows with real data
Outcomes

What teams actually see.

01 / Outcome

Clear where time goes

See exactly where operational work bottlenecks today.

02 / Outcome

Honest adoption signals

Know which workflows people actually use and which they avoid.

03 / Outcome

Connected AI to outcomes

Tie platform activity to the operational metrics leaders care about.

Build on Opal

Measure operational AI performance.

See where work is improving, what needs attention, and how to scale with more confidence.