GRACE™GRACE™ AI ControlCONTROL BEFORE CONSEQUENCE

How It Works

One complete story from information authorization to action authorization.

GRACE places one explicit control point before AI reasoning and another before execution. Each authorization creates a signed, tamper-evident Policy Action Packet, and the Chain of Confidence verifies that the two records belong to the same controlled transaction.

THE GRACE SYSTEM

Information authorization
↓
AI reasoning
↓
Action authorization

Why the information boundary matters

A title-search task can be limited to the property information it actually needs.

Information proposed to the workflow

A broadly connected agent may be able to access information that is unrelated to the declared task.

  • Social Security number
  • Date of birth
  • Other unrelated personal information

Information authorized for the task

The institution defines the information needed for the title-search task.

  • Property address
  • Parcel number

Illustrative example. The organization defines the actual required and permitted fields for each workflow.

The GRACE mechanism

Two authorization boundaries around one AI agent.

1Information AuthorizationContext Path

Evaluate the information proposed for the declared task before it reaches the AI.

→
2Context PAPPolicy Action Packet

Signed, tamper-evident record of the information authorization decision.

→
3AI ReasoningApproved or adjusted information

The agent reasons from the information the workflow has authorized.

→
4Action AuthorizationAction Path

Evaluate the proposed action before it reaches a downstream system.

→
5Action PAPPolicy Action Packet

Signed, tamper-evident record of the action authorization decision.

CHAIN OF CONFIDENCE Verification that the information authorization and action authorization belong to the same controlled transaction.

Decision states

Three clear outcomes at either authorization boundary.

ALLOW

Proceed as proposed. The requested information or proposed action satisfies the applicable institution-defined rules.

ABSTAIN

Stop autonomous progression. Route the request for human or institutional handling.

CHAIN OF CONFIDENCE

THIS IS WHERE AGENTIC AI ACCOUNTABILITY LIVES.

VERIFIED RELATIONSHIP BETWEEN BOTH SIGNED AUTHORIZATION RECORDS

INFORMATION AUTHORIZATION

Context PAP

Record
Context PAP
Purpose
Signed, tamper-evident information-authorization record
Timing
Before AI reasoning
WHAT INFORMATION WAS THE AI AUTHORIZED TO RECEIVE?
CHAIN OFCONFIDENCEVERIFIED
ACTION AUTHORIZATION

Action PAP

Record
Action PAP
Purpose
Signed, tamper-evident action-authorization record
Timing
Before execution
WHAT ACTION WAS THE AI AUTHORIZED TO TAKE?

Evaluation mode

Shadow mode

Observe and record decisions without affecting live operations.

Shadow mode runs the information and action evaluations and records the resulting authorization decisions while the organization's current production controls remain in place.

Evaluate One AI Workflow