In today's episode, we have Carol Hamilton, Chief Product and Strategy Officer at Provenird. She discusses how AI-powered decisioning platforms are transforming risk management across financial services. She explores the critical balance financial institutions must strike between managing evolving risk threats and maintaining seamless customer experiences, a challenge that has become increasingly complex in today's uncertain macroeconomic environment. She explains how Provenir's platform helps organizations make intelligent decisions across the entire customer lifecycle, from onboarding and fraud prevention to collections, by orchestrating real-time data and AI to provide contextual insights that enable both risk mitigation and opportunity optimization. 

The conversation delves into key findings from Provenir's 2025 Global Risk Decisioning Survey, revealing that over half of respondents struggle with data integration, while 60% find it difficult to deploy and maintain risk models. Hamilton emphasizes how generative AI is being leveraged not just as a trend but to drive tangible outcomes, speeding up decision-making processes, enhancing model explainability, and analyzing unstructured data. Looking ahead, she describes 2025 as "the year of intelligent decisioning," where organizations can move beyond traditional rules-based systems to achieve the perfect contextual understanding needed for hyper-personalized customer interactions that unlock value while effectively managing risk.

In this podcast you will learn:

• What Provenir does exactly.
• The types of risk decisions they help their customers make.
• The biggest pain points in risk management for financial institutions today.
• The different geographies where Provenir operates.
• Why they have focused on enterprise businesses.
• How they approach the tension between preventing fraud and seamless customer experiences.
• How their clients are managing risks in today’s uncertain environment.
• The different types of simulations they can run inside their platform.
• How they are using generative AI in their decisioning engine.
• How their approach differs from others in the market.
• The purpose of their 2025 Global Risk Decisioning Survey.
• Some the of the core findings from the survey.
• How they help their clients deploy their risk decisioning models.
• How they are working with lenders with credit risk and detecting fraud.
• What they mean by calling 2025 the “year of intelligent decisioning.”
• How they approach product development given the different needs of their customers.
• What is next for Provenir.

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