Global Fintech Series Interview with Dan O’Malley, CEO at Numerated

Dan O’Malley, CEO at Numerated chats about the benefits of AI-powered commercial lending workflows in this fintech interview:

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Hi Dan, tell us about your time in fintech and more about Numerated’s latest enhancements?

I’ve been in fintech for two decades, watching it evolve from niche solutions and clunky experiences to the dynamic, AI-driven landscape we see today. At Numerated, we’ve been at the forefront of the transformation in commercial lending. Our platform uses AI to accelerate loan decisioning, reduce manual processes, and provide better portfolio management. Recently, we’ve focused on leveraging our AI-driven capabilities globally with partners like Moody’s and tier 1 clients like Citi. We’ve been able to analyze financial statements in languages around the world and accelerate commercial lending while maintaining accuracy. We’re now developing generative AI capabilities to help analysts quickly make sense of financial data, better assess risk and speed time to decision.

How is AI-powered commercial lending enhancing the lending workflow for users/organizations today?

Many financial institutions have invested in digital solutions for commercial lending, but we are just now seeing AI taking a prominent place in the market. Today, Numerated users see automation across the lending lifecycle, with many rote calculations, duplicative data entry and data standardization happening behind the scenes so lenders can spend more time on financial analysis and relationship building. Automation reduces the back-and-forth between teams and ensures that underwriting and compliance reviews are handled efficiently. This not only speeds up lending decisions but also minimizes errors, making the process much more reliable for both lenders and customers.

What should users be wary about when it comes to AI-powered commercial lending?

While AI can provide incredible benefits, it’s important to ensure that the technology is transparent and compliant with regulations. Users should be aware of potential biases in AI models that could affect decision-making, and work with partners like Numerated who prioritize ethical AI development. Additionally, ensuring data integrity and maintaining a human-in-the-loop approach where necessary is key to avoiding over-reliance on automation for complex, nuanced cases.

Read More : How Financial Institutions Define AI Business Value

What should FIs do to ensure better fraud checks today, at a time when there are increased instances of threats?

Financial institutions (FIs) must prioritize real-time identity verification and fraud detection. With the rise of sophisticated fraud, having dynamic, AI-driven systems like our partnership with Alloy becomes essential. These systems use advanced algorithms and vast datasets to spot unusual patterns that manual reviews might miss. FIs should integrate layered security measures, combining AI-based tools with human oversight, to create more robust fraud prevention mechanisms. Leveraging ecosystem partnerships—like ours with Alloy—ensures these checks are scalable and adaptable to evolving threats.

How in your view are fintechs becoming more equipped to modernize all of business banking? What are some of the areas here that need more automated enhancements?

Fintechs are modernizing business banking by embedding AI, data analytics, and automation into the heart of financial services. Platforms like Numerated have already automated many aspects of lending, but there’s still room to innovate, particularly around portfolio management, compliance, and customer engagement. These areas need more AI-driven insights and automated workflows to handle large volumes of data while remaining compliant and personalized. More seamless integrations between banking systems and fintech platforms will further accelerate modernization across the industry.

Can you share a few thoughts on the state of global fintech, the way you see it today?

Global fintech is at an exciting inflection point. We’re seeing increasing collaboration between fintechs, traditional banks, and third-party providers to deliver more comprehensive, innovative solutions. However, there’s a growing need for regulation, particularly as AI and open banking expand. The next wave will likely focus on deeper AI integration, improving access to capital for underserved markets, and refining real-time fraud prevention.

A few shout-outs to some innovative fintechs that have piqued your interest from the global fintech market and why?

There are so many exciting players in the global fintech space, but a few that stand out include some of our partners:

• Moody’s for integrating predictive analytics and risk management into an end-to-end commercial loan origination and portfolio management system.
• Alloy, whose cutting-edge fraud detection and identity decisioning are setting new standards for security in fintech. These companies are driving meaningful advancements that are shaping the future of finance.
• Validis, which excels in automating financial data extraction and analysis directly from accounting systems. Their technology enables faster, more accurate credit assessments, helping lenders make better decisions while reducing the time spent on financial reviews.

Read More : Global Fintech Series Interview with Krishna Venkatraman, Chief Data Officer at Kueski

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