OutSystems Launches Governed Agentic Systems for Consumer Lending

OutSystems has launched Agentic Loan Applications to help financial institutions move AI from experimental pilots into governed, operational lending workflows. For fintech leaders, this move addresses the critical gap between high-level AI investment and the practical, auditable automation of document-heavy processes like identity screening and loan origination while maintaining strict regulatory compliance.

What was announced

The new Agentic Loan Applications solution is part of the OutSystems Agentic Industry Solutions portfolio. It is designed to layer over existing banking infrastructure, grounding AI agents in a specific operational context that includes a bank’s unique policies, systems, and dependencies. This setup allows institutions to automate the guided application journey, which includes capturing and verifying documents, performing identity and sanctions screening, and compiling completed applications that are then passed to existing loan origination systems.

A key component of the announcement is the focus on testing and cost-efficiency. OutSystems evaluated various models through Amazon Bedrock, pre-selecting those that can perform at up to 82% lower cost than alternative configurations. Before reaching production, banking agents undergo dozens of evaluations covering criteria such as PII protection, accuracy, and relevance. This ensures that any modifications to models, prompts, or tools remain within strict regulatory guardrails. Furthermore, the OutSystems Banking Agents Kit is now available on the OutSystems Forge, providing developers with the necessary building blocks to create custom banking applications and agents on the platform. The system is already being utilized by several institutions, including KeyBank, Paragon Bank, and Axos Bank, to manage highly regulated decision-making processes.

"Hope is not a governance strategy. As AI adoption accelerates, banks need full visibility into how agentic solutions are built, what data they're accessing, and how they're being used,"

said Mike Reynolds, Business Technology Executive at KeyBank.

The companies involved

OutSystems provides a unified platform for organizations to apply AI to operational processes, focusing on pairing pre-built industry capabilities with a governed development environment. The company positions itself as a bridge between isolated AI pilots and complex, auditable workflows. Luis Blando serves as the Chief Product & Technology Officer at OutSystems, overseeing the strategy for these agentic systems. KeyBank, a major regional bank, is one of the primary institutions leveraging these solutions to maintain oversight and control during innovation.

Other financial institutions involved include Paragon Bank and Axos Bank, both of which operate in the highly regulated lending space. The technological backbone for the model selection in this announcement is provided by Amazon through its Bedrock service, which allows for the evaluation and deployment of foundation models. Amazon, a global technology leader, has become a central player in the fintech ecosystem by providing the infrastructure necessary for high-scale AI applications. These partnerships highlight a market trend where specialized platform providers like OutSystems collaborate with cloud giants to deliver industry-specific AI tools to traditional banking players.

What FF News has reported before

FF News has previously tracked the intersection of AI adoption and the infrastructure provided by major cloud players. In a report on how Razorpay Debuts Vulcan: India’s First AI Payments Foundation Model Powered by NVIDIA and AWS, the role of Amazon Web Services in scaling financial AI models was a central theme. This highlights the growing reliance on Amazon’s ecosystem for fintech innovation.

Additionally, the industry's concern regarding the risks of rapid AI deployment was reflected in the ERGO NEXT Survey: 80% of New Entrepreneurs Expect Rising Risks as AI Adoption for Insurance Grows. This prior reporting underscores the market demand for the "governed" and "auditable" systems that OutSystems is now bringing to the lending sector, as institutions seek to mitigate the risks associated with automated decision-making and repetitive data entry.

What this means

This announcement signals a shift in the fintech sector from "generative" AI—which often focuses on content creation—to "agentic" AI, where models actually execute multi-step business processes. By focusing on lending, OutSystems is targeting one of the most document-intensive and regulated corners of banking. This puts significant pressure on legacy software providers who have yet to integrate deep AI orchestration into their core offerings. The industry is moving toward a reality where the value of AI is measured not by the sophistication of the model, but by the robustness of the governance layer surrounding it. The question now is whether traditional banks can integrate these agents fast enough to prevent application abandonment by digital-native consumers.