Light integrates AI throughout the platform to automate financial workflows, reduce manual data entry, and provide intelligent insights. This article explains where AI is applied and what capabilities...
Last updated Feb 18, 2026 · 3 min read
Light leverages advanced AI models (Google Gemini and OpenAI) through a unified GenAI framework that provides intelligent automation across multiple financial processes.
When you upload invoices, bills, receipts, or other financial documents, Light's AI-powered parsing engine automatically extracts key financial data. The system uses optical character recognition (OCR) combined with large language models to read document content, even from images and PDFs. Extracted data includes vendor names, invoice amounts, dates, line items, account codes, and tax information.
This eliminates manual typing and reduces the risk of data entry errors. The AI learns from corrections you make, improving accuracy over time.
Mobile receipt uploads are processed by Light's AI engine to automatically capture spending details. The system extracts the vendor name, transaction amount, currency, purchase date, and line items. Light's AI then assigns appropriate expense categories and tax codes based on the merchant type and spending pattern.
The AI parsing module uses GenAI function handlers to extract structured data from uploaded invoices. Beyond basic amounts and dates, the system can identify multiple line items within a single invoice, extract custom fields, and recognize payment terms. This is especially useful for processing bulk invoices from regular vendors.
Light's AI cleans and validates financial data in real time. The system detects anomalies, flags potential errors, and suggests corrections. Examples include identifying duplicate entries, catching inconsistent vendor names, and flagging amounts that fall outside normal spending patterns for a user or department.
The bank reconciliation engine is powered partly by AI. Light suggests transaction matches based on amounts, dates, and reference patterns. The AI learns from your previous reconciliation decisions to improve future suggestions, making the reconciliation process faster over time.
Through Light's Slack integration, you can ask natural language questions about your finances using @Light. Ask questions like "What did we spend on travel last month?" or "Show me payables by vendor." Light processes your question using AI and returns relevant reports and data without requiring you to navigate the UI.
Good to know: The Slack integration processes your questions using the same AI models that power other Light features, maintaining the same security and privacy standards across the platform.
Light uses a modular AI architecture:
The platform routes requests intelligently between providers based on capability requirements and your configuration settings.
Light processes financial documents using AI in a secure manner:
The AI learns patterns from your data to provide better categorization and matching suggestions, but your financial data is never used to train public AI models.
To put it in practical terms, here are some common tasks where AI makes a measurable difference:
Tip: Start by letting AI handle the high-volume, repetitive tasks (receipt processing, invoice data entry) and then expand to reconciliation and reporting as your team gets comfortable with the suggestions.
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