Finastra, Marketnode partner to automate credit onboarding

Finastra has partnered with Marketnode to digitise and automate credit agreement onboarding for corporate lenders, aiming to streamline a traditionally manual and time-intensive process.

The collaboration integrates Marketnode’s AI-driven document automation capabilities with Finastra’s Loan IQ platform via the Loan IQ Nexus Build module. The combined solution enables financial institutions to automate data extraction and onboarding workflows, reducing reliance on manual input and improving operational efficiency.

Credit agreement onboarding has long posed challenges for lenders due to fragmented systems, manual data entry, and associated operational risks. By embedding intelligent document processing into Loan IQ’s syndicated and bilateral loan servicing infrastructure, the partnership seeks to transform onboarding into a more seamless and accurate digital workflow.

“Automation and intelligent data processing are key to modernising lending operations,” said Andrew Bateman, EVP of Lending at Finastra. “Through this collaboration, we are extending Loan IQ’s capabilities to help financial institutions reduce manual processes, improve data accuracy, and accelerate the onboarding of credit agreements. The result is a faster path to revenue recognition and greater scalability for lenders worldwide.”

Marketnode’s Smartflow technology applies a combination of large language models (LLMs), optical character recognition (OCR), and machine learning to interpret both structured and unstructured data in credit documentation. When integrated with Loan IQ’s APIs, the system can automatically map extracted data into the platform and initiate deal setup. According to the companies, this can reduce processing times from approximately two hours to around 10 minutes.

The solution supports both on-premise and private cloud deployments and is currently hosted on Microsoft Azure. The cloud-based architecture enables real-time workflow integration, scalable AI processing, and secure data exchange, aligning with financial institutions’ ongoing cloud transformation strategies.

The partnership highlights a growing focus on applying AI to core banking operations, particularly in lending workflows where inefficiencies can delay deal execution and revenue recognition. By reducing onboarding times and improving data accuracy, the integrated solution could help lenders enhance operational scalability and respond more effectively to increasing complexity in credit markets.