AI Credit Card Auditor
The AI Credit Card Auditor is an enterprise financial verification platform that automates expense reconciliation by matching credit-card transactions against corporate calendar events and email context. Built with a hybrid engine of local fuzzy-logic string matching and large-language-model reasoning, it ingests pre-parsed CSV statement data rather than raw PDFs, eliminating parsing latency and enabling high-speed batch processing. A secure PHP authentication layer exchanges tokens so the Python backend can safely retrieve Microsoft Calendar entries, while the dual-layer matching engine pairs vague merchant descriptors with actual meetings, travel, or project activities. Verified matches are exported as structured CSV and JSON audit logs ready for immediate ledger ingestion. The system reduces manual reconciliation effort by approximately 50 %, cuts dispute resolution time, and provides a complete, auditable trail of every matched transaction for finance and compliance teams.
Polyglot Tech Stack
Industrial Strength Engineering
Automation
Python
Auth Interface
PHP/CI
Intelligence
LLM APIs
Matching
Fuzzy Logic
Architectural Integrity
Streamlined Data Flow
Operating via an optimized pipeline, the platform ingests a pre-parsed CC.csv dataset as its primary source instead of raw PDF documents, maximizing execution efficiency and reducing overhead.
Intelligent Matching
Dual-layer verification combining localized fuzzy matching with deep LLM contextual analysis to pair vague transaction descriptors with concrete corporate events.
Secure MS Calendar
Secure token exchange system via PHP authentication interface, allowing a robust backend Python subsystem to safely fetch calendar entries for verification.
Actionable Audit Outputs
Automatically compiles and exports verified data matches into structured, developer-friendly formats for instant ledger ingestion.