Process Automation Spec System Architecture

Check Exception Deposit Resolution Engine

Solution Designer

Magnus Allen

Target Line of Business

Deposit Operations

Problem Space

System Fragmentation

Status

Architecture Spec

Payment Exception Research Workflow

Phased process map — 9 steps across 4 phases · responsive

Phase 1

Identification

Start / Trigger

Exception Triggered

Control Point

Source Report Reviewed

→↓

Phase 2

Research

Control Point

Image / Document Retrieved

Control Point

Ledger Activity Researched

Analyst Action

Exception Type Classified

→↓

Phase 3

Resolution

◊ Decision

Resolution Path Selected

Resolve · Escalate · Adjust

Documentation

Decision Rationale Documented

Handoff

Status Updated / Handoff

→↓

Phase 4

Feedback

Trend / Control Feedback

Start / Trigger Analyst Action Control Point ◊ Decision Documentation Cross-Functional Handoff Feedback / Remediation

This workflow shows how payment exception research can be structured so analysts spend less time hunting across systems and more time making documented, controlled decisions.

The Problem: "Human API" Fragmentation

2 / 5

1–1.5 hours daily: pulling IBM mainframe CSVs, formatting in Excel, logging into Fiserv for check images
2.5–4 hours daily: manual ledger posting + CRM memo entry (~2 min per item, 70–120 items/day)
Only cognitive review (visual validation) requires actual human judgment yet it's buried under hours of transcription

💻 Launch Resolution Engine Sandbox

What This Demonstrates

Exception research, evidence consolidation, ledger analysis, escalation design, and structured decision support.

Check Exception Deposit Resolution Engine

Payment Exception Research Workflow

Executive Summary

The Problem: "Human API" Fragmentation

Automated Data & Image Ingestion

One-Click Execution

Business Impact & Efficiency Scaling