LensReading which lens this session carries.
RD5C-1017In flightmedium materiality

Model at assess dependency

Clara Costa

Research & Development · Data Science & Modeling · RD5C Model Retirement

$40k

value

92%

confidence

31

people affected

3h 57m

age

5h 44m

sla

40%

progress

Currently held by

Validation Agent

An agent owns the next move

Raised by

Farrah Costa

Requester of record

At station

Assess dependency

Workflow layer · station 2 of 5

Where this train is on the line

RD5CModel RetirementTransactional · 5 stations

Detect obsolescence

32 q

Assess dependency

1 live

Owner approve

4 q

Retire

18 q

Archive

43 q

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.

  1. Cleared detect obsolescence

    -237m

    Feature Engineering Agent

    Spine control pack posted, three-way evidence attached

  2. Holding at assess dependency

    -119m

    Model Training Agent

    Inputs, rule version and output hash written to the evidence log

What happens next

The next station and its rule

Owner approve

run by Director, Data Science · Policy layer

Held for a named human when the unit exceeds the model decision envelope, when confidence falls below the floor, or when a policy clause is engaged.

approver Director, Data Science

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.