Smart Ledger Agent

Agent Description:

The Smart Ledger Agent is a financial automation assistant designed to parse raw transaction data, classify entries into accounting categories, and generate a clean ledger summary. It supports training, auditing, and internal bookkeeping tasks by standardizing how transactions are processed and reported.

Purpose and Components
  • Purpose: To extract, categorize, and summarize financial transactions into a ledger-ready format for reporting and accounting purpose.
  • Components:
    • A classifier that reads and labels transaction records from scanned documents.
    • A summarizer that produces a standard ledger report using official accounting formats.
Supported Capabilities
  • Extracting structured financial transactions from scanned or digital PDFs.
  • Categorizing transactions into standard buckets such as Income, Rent, and Utilities.
  • Computing total credits, total debits, and net balance.
  • Generating a clear, professional ledger report including a breakdown of expenses by category.
LLM Used
  • Google Vertex
    Note: To learn more about the LLM and to modify its behavior, refer to the Configuring LLM settings section.

Sub-Agents

1. Category Classifier

  • Role: Transaction Classifier.
  • Scope: Convert raw PDF transactions into structured and categorized entries.
  • Description: This subagent reads a PDF file containing transaction logs. It parses each row to extract the following fields:
    • Date
    • Description
    • Amount
    • Type (Credit or Debit)

    The agent then applies rule-based or semantic classification logic to assign each transaction to a predefined category: Income, Utilities, Rent, Travel, Office Supplies, or Miscellaneous. The output is a clean JSON object ready for financial summarization.

  • Tool Used: PDF Reader Tool

2. Ledger Summary

  • Role: Ledger Summarizer.
  • Scope: Format structured transactions into a final ledger report.
  • Description: This subagent takes categorized financial data and uses a RAG-based template from previously stored documents to generate a complete ledger summary. It calculates:
    • Total Credit
    • Total Debit
    • Closing Balance
    • Category-wise Expense Breakdown

      The final output is formatted for clarity and compliance with internal audit and bookkeeping standards.

  • Tool Used: MCP Client Tool (for referencing ledger format templates via RAG)
Tools Used
  • PDF Reader Tool – for parsing raw financial data from scanned reports.
  • MCP Client Tool – for generating standardized ledger summaries using historical templates.
Note: For details on modifying the Tools, refer Tools Library section.
Agent Workflow Behavior Summary
  • The Category Classifier ingests a PDF of transactions and extracts key fields, assigning each transaction to a financial category using business logic.
  • The Ledger Summary receives this structured data, references ledger formatting templates using RAG, and outputs a comprehensive summary with totals and category-level breakdowns.
  • The final ledger report is ready for accounting use or financial documentation purposes.
Sample Questions:
  • What is the total income and total expenses this month?
  • Are there any unusual spending patterns this month?
  • What is the closing balance as of July 15, 2025?