Every panel needs a connected source and recorded investigations. On a new account the page says so rather than showing an empty chart.
Mean time to conclusion
How long the agent takes to reach a conclusion. This is the one figure on the page that answers whether NOFire AI is making on-call faster, rather than whether it is being used. Three rules decide what goes into it, and each one exists because the number could otherwise mislead:- Only investigations the agent finished. One still running has a runtime that means “so far”. Averaging it in drags the figure toward whatever happens to be in flight when you open the page.
- Only a positive runtime. A zero is a row that was never timed, not an investigation that took no time. Where no runtime was recorded, the elapsed time between when the investigation was created and when it was last updated stands in.
- The sample is shown next to the mean. The mean is computed over a page of the investigation list, not over the whole account, so the number it is averaged over is printed rather than hidden.
Trust score
A score built from the ratings your team leaves on investigations, weighted so that recent ratings count more than older ones.- A falling score means recent answers were rated lower. Use By feedback type to see which kinds of investigation are rated worst.
- A steady high score means the reasoning is holding up for your environment.
- An account with few rated investigations shows a more conservative score until enough ratings arrive.
Investigations
Volume and origin over the window you select.Weakest entities
Where the reasoning is least reliable, broken down by the services involved.
Use this to decide where to add Knowledge. Adding context for a weak entity is the most direct way to raise its ratings.
Active users
Who is using NOFire AI, and who is not.Tokens
What the reasoning costs.Next steps
Knowledge
Add the context that raises ratings for your weakest entities.
Workflows
The scheduled and triggered runs that appear in these numbers.