Manual invoice processing has long been a drain on time, accuracy, and resources. Finance teams are often stuck downloading disparate invoice formats, decoding terminology and currencies, then painstakingly locating and rekeying data into a spreadsheet.
After that, they still need to manually verify for errors or omissions before uploading into an accounting system for reconciliation. This approach not only increases the risk of human error, but also slows down business operations, claims SS&C BluePrism.
To tackle these inefficiencies, SS&C has introduced its Invoice Data Agent—an AI-powered solution that reduces manual effort by over 90%. Built using intelligent automation and generative AI, the Invoice Data Agent is designed to streamline the extraction, validation, and processing of invoice data. By leveraging AI’s ability to interpret unstructured and structured data, businesses can now achieve faster turnaround times and greater accuracy in their accounts payable processes.
At the heart of the Invoice Data Agent is a powerful large language model (LLM) and natural language processing (NLP) technology. The agent ingests incoming invoices in multiple formats and automatically identifies the correct client. It can even split complex invoices as needed. The system extracts data points and line items, performs error checks, and ensures everything is formatted correctly for upload into enterprise resource planning (ERP) systems. The result is a faster, more reliable process, with 100% accurate audit trails and a secure cloud deployment model.
This innovation was not developed in isolation. SS&C tested the Invoice Data Agent internally within its Innovation Lab, acting as “customer zero” to refine and validate the system before rolling it out to clients. This internal testing ensures the product is robust, scalable, and aligned with real-world financial operations.
While this application is centred on invoice automation, the implications of agentic AI for business are much broader. Agentic process automation refers to the deployment of AI agents that can manage increasingly complex tasks with minimal human intervention. These agents, especially vertical AI agents tailored for specific domains such as fraud detection or invoice processing, represent a leap in how enterprise AI is deployed and governed.
For firms considering AI implementation, SS&C recommends evaluating investment scope, identifying use cases like invoice processing for quick ROI, and working with trusted vendors. Their SS&C AI Gateway supports enterprise-wide governance, offering a secure integration layer between AI models and business systems.
Examples in action show how impactful automation can be. Laya Healthcare used SS&C Blue Prism Decipher to identify duplicate invoices, removing the need for manual checks. An AI agent scans invoices, compares them to existing claims, and either closes or validates them with no human input. This approach ensures speed and consistency in claims validation.
Another success story involves a global retailer who deployed Decipher with robotic process automation to halve its vendor invoice processing times. Invoices arriving via email are automatically routed, read, and validated using machine learning, enabling the company to process around 7,000 invoices weekly while ensuring compliance with diverse formats and tax codes.
The rise of intelligent AI agents like SS&C’s Invoice Data Agent is redefining how businesses handle critical back-office functions. With automation, governance, and compliance baked in, AI is no longer just a tool—it’s a trusted operational partner.
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