Integrations

Supercharge Pro Ledger with Relevance AI

Pro Ledger is a robust tool for bookkeeping and financial record management, allowing businesses to automate transactions and manage accounts efficiently. With Relevance AI, you can elevate your financial processes by leveraging AI Agents to optimize and automate your financial workflows.

Give your AI Agents Pro Ledger Superpowers

Pro Ledger streamlines bookkeeping and financial management with its powerful API. Relevance AI amplifies these capabilities by enabling AI Agents to automate complex financial tasks and provide actionable insights.

Financial Data Orchestration

The AI agent seamlessly coordinates complex financial workflows across multiple accounts and categories in real-time

Intelligent Transaction Analysis

Advanced pattern recognition capabilities enable the agent to automatically categorize and validate financial records with high accuracy

Predictive Financial Insights

The agent leverages historical data patterns to forecast trends and identify potential financial opportunities or risks

Tools

Equip AI Agents with the Pro Ledger Tools they need

Relevance AI integrates seamlessly with Pro Ledger to enhance your financial workflows through intelligent automation.

Pro Ledger - Get Accounts
Retrieves all account information from Pro Ledger bookkeeping system, allowing users to access and view their financial accounts and associated details
Pro Ledger - Get Categories
Fetches available transaction categories from Pro Ledger, supporting different transaction types including Income, Expense, Transfer, and Cost of Goods Sold
Pro Ledger - Create Record
Creates a new financial record in Pro Ledger with detailed transaction information, including classification, categorization, and tax handling options
Pro Ledger - Get Classes
Retrieves available classification options for transactions in Pro Ledger, organized by transaction type for better financial record organization
Name
Pro Ledger API Call
Description
Make an authorized request to a Pro Ledger API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A financial services company uses Pro Ledger API calls to automatically sync transaction data between their accounting system and Pro Ledger platform, enabling real-time financial reporting and reconciliation while maintaining secure OAuth authentication.

Security & Reliability

The Pro Ledger integration with Relevance AI utilizes a powerful API interface to streamline bookkeeping and financial record management. This integration automates financial transactions, allowing businesses to manage accounts and categorize expenses and income programmatically.

With OAuth-based secure authentication, the integration ensures that only authorized workflows can access your financial data. Relevance AI handles API operations (like GET, POST, PATCH, DELETE) in the background, so you don’t have to worry about errors, formatting, or limits.

Built-in validation and type conversion ensure your financial records are created and managed smoothly, even when data formats vary. The integration supports comprehensive transaction management, making it easier to maintain accurate financial records.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Pro Ledger + Relevance AI integration without writing code:
  • Start with a well-structured Pro Ledger account: Ensure your accounts and categories are clearly defined and consistently used.
  • Utilize pre-built workflows: Relevance AI provides templates for automating financial record creation and management—perfect for quick implementation.
  • Connect securely: Double-check that you are using the correct OAuth credentials and permissions during setup.
  • Test with sample data: Before applying changes to live data, run tests to ensure everything functions as expected.
  • Monitor API usage: Be mindful of rate limits and implement strategies like exponential backoff to manage request frequency.