INTELLIGENT FINTECH RECONCILIATION

Intelligent Reconciliation Dashboard

An enterprise-grade automated accounts payable workflow — AI-powered extraction, real-time reconciliation, and human-in-the-loop exception handling.

šŸ¤– AI-Powered Extraction

⚔ Live API Backend

šŸ”’ SOX Compliant Controls

ā— LIVE INTERACTIVE DEMO

1. Ingestion Queue (5 Active)

INV-2026-089 (TechCorp) Match: $4,500.00
INV-2026-090 (Global Office) Exception: Variance ($300)
INV-2026-091 (CloudScale) Match: $12,400.50
INV-2026-092 (Apex Logistics) Exception: PO Not Found
INV-2026-093 (SaaSify) Match: $1,200.00

2. AI Extraction & Review

Raw OCR Payload
// Select an invoice from the queue…
AI Confidence Score 0%
Extracted Amount (Editable for Audit)

3. System of Record Check

Detected PO: —
Approved Budget: —
Invoiced Amount: —

HOW IT WORKS

Three-Panel Architecture

Panel 1: Ingestion Queue

Displays incoming vendor invoices ranging from clean matches to variance discrepancies and missing purchase orders. Clicking any item in the queue triggers the asynchronous JavaScript pipeline, passing raw invoice text to the live backend.

Panel 2: AI Extraction & Review

Simulates intelligent document processing (OCR/LLM parsing) with a real-time AI Confidence Score gauge. Human reviewers can inspect or manually override extracted data — SOX compliance built in for full audit control.

Panel 3: Reconciliation Engine

Compares extracted invoice data against the internal Purchase Order database. Perfect matches trigger green straight-through processing and a “Route to AP” action. Variances, late fees, or missing POs flag as exceptions requiring manual override.

INFRASTRUCTURE

Under the Hood

āœ“

Frontend: Standard HTML, CSS Grid, and vanilla JavaScript in a full-width breakout container — seamlessly integrated with the site theme without layout conflicts.

āœ“

Backend: Live POST requests to a Python FastAPI service on Render — a decoupled microservice deployed from GitHub.