ACATS Exception Workflow
Working title: Finplan
A product strategy designed to help authorized financial institutions evaluate suspicious transfer requests and assemble evidence under strict timing pressure—without handing final authority to the software.
Executive Summary & The Problem Space
Finplan is a research-stage product concept built around a narrow, high-value wedge in institutional risk infrastructure: ACATS transfer exceptions. The core operational challenge in financial transfers is the asymmetry between the speed of modern fraud (e.g., synthetic identities, account takeovers) and the rigidity of legacy transfer rules. Operations teams must navigate extreme workflow pressure, fragmented signal ownership, and tightening regulatory scrutiny. The thesis of this artifact is that AI should not be used as an autonomous decision engine in this environment; rather, it must be deployed as a structured evidence assembly and reviewer-orchestration layer.
What it is / is not
- A structured evidence assembly and reviewer-orchestration layer for ACATS exception review.
- An audit-ready logging model that preserves both assembled evidence and the analyst’s final rationale.
- A workflow designed around strict timing windows and human-in-the-loop decision-making.
- An autonomous decision engine that holds or releases transfers on its own authority.
- A replacement for the institution’s legal authority over exception handling.
- A general-purpose fraud detection model or a black-box scoring system.
Designing for Regulatory Constraints
This product strategy is built explicitly around immovable regulatory and operational realities:
- Time-Bound Execution: The system must collate evidence and prompt human review within strict regulatory and business-day timing windows.
- Narrow Exception Authority: Because exception handling is legally restricted, the system must help reviewers assess and document the basis for escalation or delay.
- Product-Safe Boundaries: Suspected fraud is not a blank check to reject a transfer. The software is architected to ensure it never claims independent “hold” or “release” authority. The institution must always remain the final decision-maker.
Architectural Principles
To operate safely within these constraints, the proposed system design relies on a dual-layer architecture:
- Structured Evidence Assembly: Instantly structuring unstructured behavioral data and assembling a clean evidence packet for the analyst upstream from the transfer event.
- Institutional Controls & Auditability: Proposing an audit-ready logging model that preserves both the assembled evidence and the analyst’s final rationale.
Research Status
Selected workflow details, integration design, and market assumptions are reserved for private discussion.