Improvement at close loop
Daniel Marchetti
AI GBS & Global Business Services · Continuous Improvement · GB10B Idea to Backlog
$80k
value
85%
confidence
29
people affected
4h 0m
age
4h 7m
sla
100%
progress
Currently held by
Experiment Design Agent
An agent owns the next move
Raised by
Callum Adeyemi
Requester of record
At station
Close loop
Workflow layer · station 5 of 5
Where this train is on the line
Evidence trail
Every station this unit has passed, who acted, and what they left behind
This is the readable trail. The same actions are held in the append-only evidence spine with their authority grant, version stamps and hash links; open the auditor pack to see them.
Cleared intake
-240mWaste Detection Agent
Inputs, rule version and output hash written to the evidence log
Cleared score
-192mRoot Cause Agent
Inputs, rule version and output hash written to the evidence log
Cleared route
-144mExperiment Design Agent
Inputs, rule version and output hash written to the evidence log
Cleared track
-96mBenefit Measurement Agent
Inputs, rule version and output hash written to the evidence log
Holding at close loop
-48mIdea Intake Agent
Inputs, rule version and output hash written to the evidence log
What happens next
The next station and its rule
This is the last station. Once it clears, the unit closes and the outcome is booked.
Why the signal is what it is
Plain reading of the current state
Green. The agent completed this station inside its authority envelope, the confidence threshold was met, and no gate rule was triggered. Nobody was asked to look at it.