Generic Agent AI Β· Detached Finance Β· Demo

Finance Receipt Matching Agent

AI agent that matches receipts to expense entries, validates amounts, and flags missing documentation.

AI AgentLLM ServerFinanceReceiptDetached System
HomeDemosTelegram
0.5×← Perlahan Β· Cepat β†’
0%Stage 0 / 7 Β· Idle
πŸ’¬Tekan Play Demo untuk lihat bagaimana Receipt Matching Agent memproses dokumen kewangan.
Demo Complete All Stages Generated

01 WhatsApp Command

02 Requirement Analysis

Mode
Receipt Match
Receipts
4
Matched
2
Missing Entry
1
Mismatched
1
Menunggu Sedang aktif Selesai

03 Python Script Generation

1
πŸ“₯
OCR receipt dataScan & extract receipt information
2
πŸ”
Compare to expense ledgerMatch receipts against entries
3
⚠️
Flag discrepanciesIdentify missing or mismatched entries
4
πŸ’‘
Suggest correctionsGenerate action recommendations

04 Block Diagram

Menunggu Sedang aktif Selesai

05 System Schematic

Menunggu Sedang aktif Selesai
⚠️ All receipt matches require verification before archiving.

06 Receipt Matching Simulation

Mula Matching
Receipts
0
Matched
0
Total Amount
RM 0
Issues
0
RCPT-001EXP-101RM 2,500Matched
RCPT-002EXP-102RM 1,200Matched
RCPT-003MissingRM 8,500No Entry
RCPT-004EXP-104RM 3,200Amount Diff

07 Matching Report

Demo
Receipt Matching
Receipts
4
Matched
2
Missing Entry
1
Mismatched
1
Status
Completed

Terminal Log

[SISTEM] Receipt Matching Agent sedia

System Architecture

πŸ“± Command Layer
WhatsApp instruction
πŸ€– Agent Layer
OCR scanner
Matcher
Validator
LLM reviewer
πŸ’° Finance Layer
Receipt storage
Expense ledger
Audit trail

Safety Notes

  • Receipt OCR accuracy varies by image quality.
  • Manual verification required for flagged items.
  • Financial data must be encrypted at rest.
  • Demo does not connect to real accounting systems.
🟒 View NeuralOps Scenario →
Bank Β· Recon SME Growth