GRACE™GRACE™ AI ControlCONTROL BEFORE CONSEQUENCE

Integration & Demo

See where GRACE connects—and what happens at each authorization boundary.

GRACE integrates around the AI workflow: information authorization before AI reasoning, action authorization before execution, and linked authorization evidence for the transaction.

Integration architecture

Application / Workflow
↓
GRACE authorization boundaries
↓
Downstream system

Technical details such as endpoint schemas, authentication, and deployment configuration are confirmed during integration diligence.

Where GRACE fits

One workflow. Two authorization exchanges.

Application / Workflow

Declares the task and proposes the information needed for that task.

Information Authorization

Context Path. GRACE evaluates the proposed information and returns ALLOW, MODIFY, or ABSTAIN.

Creates the Context PAP.
AI Reasoning

The agent reasons from the approved or adjusted information and proposes a structured action.

Action Authorization

Action Path. GRACE evaluates the proposed action before execution.

Creates the Action PAP.
Downstream Workflow

The institution's existing execution point receives the approved or adjusted action when authorized.

CHAIN OF CONFIDENCE — verifies that the two authorization records belong to the same controlled transaction.

How GRACE complements the platform

Keep application logic, agent reasoning, and GRACE authorization roles distinct.

Application / OEM

Own the workflow.

The application or platform defines the business workflow, user experience, orchestration, and downstream system integration.

GRACE

Authorize at the boundaries.

GRACE applies institution-defined rules before the AI receives information and before a proposed action reaches execution.

Illustrated demonstration

Walk one controlled transaction from information to action.

1
Task declared

The institution identifies the workflow and the information the task requires and permits.

2
Information authorization

GRACE evaluates the proposed information. An illustrative result could be MODIFY, producing approved or adjusted information for the task.

3
Context PAP created

A signed, tamper-evident record captures the information authorization decision.

4
AI reasoning

The agent reasons from the approved or adjusted information and proposes an action.

5
Action authorization

GRACE evaluates the proposed action. The result is ALLOW, MODIFY, or ABSTAIN according to the institution's rules.

6
Action PAP + Chain of Confidence

The action authorization record is created and linked to the Context PAP for the same controlled transaction.

Illustrative workflow values. A customer evaluation uses the institution's own task definition, policy rules, and integration boundaries.

API integration

Architecture first, implementation detail during diligence.

Public site content describes the authorization exchanges and evidence model. Endpoint schemas, authentication patterns, deployment topology, and language-specific implementation materials are confirmed with the technical team during integration diligence.

Discuss the integration boundary.

Bring the application or agent workflow, the information source, the proposed downstream action, and the system that would enforce the authorized result.

Discuss an Integration