Workflow Evaluation
Evaluate one AI workflow before deciding how to scale.
Start with a bounded business process. Define the information authorization boundary, define the action authorization boundary, observe the resulting decisions in Shadow mode, and review the evidence with the people responsible for the workflow.
SHADOW MODE
Observe.
Record.
Review before enforcement.
Shadow mode records GRACE decisions without affecting live operations.
Evaluation sequence
Move from a real workflow to reviewable evidence.
Select one workflow
Choose a consequential AI use case with a clear business owner and downstream action.
Define the two boundaries
Identify what information the task should receive and what actions should require authorization.
Run in Shadow mode
Observe ALLOW, MODIFY, and ABSTAIN decisions without changing live operations.
Review evidence and next step
Inspect the two PAPs, Chain of Confidence, policy decisions, exceptions, and integration observations.
What the institution can learn
Evidence before scale.
- Whether required information is available and unnecessary information is excluded or adjusted.
- Where proposed actions meet policy, require modification, or should be routed for human handling.
- What authorization evidence the workflow produces at both boundaries.
- How the control layer fits the existing application, agent, and downstream system.
A bounded decision point for the workflow.
The institution can use the evaluation evidence to decide whether the workflow should remain observational, move to controlled enforcement, be redesigned, or stop.