1. Executive Summary
In banking operations, teams often act as the "human API" between legacy systems. For Check Exception Resolution, analysts must bridge IBM reports, Fiserv image repositories, ledgers, and CRM platforms.
This spec outlines a unified architecture designed to eliminate this fragmented process. By ingesting reports, fetching images, and automating financial posting, this system isolates the human review element and eliminates up to 2.5 hours of daily administrative waste.
2. The Problem: "Human API" Fragmentation
The current workflow requires analysts to act as transcribers across platforms:
- Report & Image Prep (1 to 1.5 Hours): Analysts pull daily CSV reports from IBM mainframes, format them in Excel, and log into Fiserv to pull check images.
- Posting & CRM Notation (2.5 to 4 Hours): The analyst logs into a ledger to post corrections, then logs into the CRM to paste memos. This takes ~2m per item across 70 to 120 items daily.
- Cognitive Review: Visually reviewing the account and check image for accuracy takes ~2m per item. This is the only step that requires human intelligence.
Conclusion: Over 5 hours of an analyst's day are wasted on administrative transcription, capping capacity and guaranteeing errors.
3. The Proposed Architectural Solution
3.1 Automated Data & Image Ingestion
Instead of formatting spreadsheets, the engine features an ingestion layer that parses raw mainframe CSVs. Using backend APIs, it fetches the corresponding check images and pre-loads them into a unified queue. The analyst arrives to a fully populated dashboard.
3.2 "One-Click" Execution
The architecture shifts the analyst's role to decision making. Once they verify the discrepancy, they click a single "Post & Resolve" button. The system triggers dual payloads to the ledger and the CRM instantly.
4. Business Impact & Efficiency Scaling
Time Reclaimed
1.0 to 2.5 Hours / Day
Eliminates morning prep and manual posting/CRM overhead.
Workflow Shift
100% Decision Focused
Automates data layers so the analyst only performs the 2-minute visual validation.