A newly released global survey reveals that nearly 50% of financial services executives continue to face significant challenges in managing credit risk and preventing fraud. These findings underscore an urgent industry-wide need to modernize risk strategies—especially as artificial intelligence (AI) becomes increasingly central to operations in 2025 and beyond.
Commissioned by Provenir, a global leader in AI-powered decisioning solutions, the survey gathered insights from nearly 200 senior decision-makers at financial institutions across North America, EMEA, Latin America, and Asia Pacific. The research explored how financial organizations are navigating risk decisioning and fraud mitigation, identifying key investment areas, and assessing the growing influence of AI across the customer lifecycle.
Key Findings
1. AI as a Strategic Priority
More than half of respondents plan to invest in AI and embedded intelligence solutions to strengthen risk decisioning in the coming year. Despite this momentum, nearly 60% acknowledged difficulty in deploying and maintaining effective risk models—highlighting a gap between aspiration and implementation.
2. Unlocking AI’s Value
AI is seen as a strategic enabler.
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55% of executives believe AI enhances strategy development by offering intelligent recommendations.
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53% noted its ability to automatically refine risk models, improving both accuracy and decision quality over time.
3. Evolving Business Objectives
Top priorities for customer and account management teams include:
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Enabling real-time, event-driven decisioning (65%)
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Reducing friction across the customer lifecycle (44%)
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Increasing customer lifetime value (44%)
4. Data Integration Hurdles
Data integration remains a critical barrier.
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Over half of respondents reported difficulties integrating disparate data sources into decisioning workflows.
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59% experienced issues with data flow and lack of unified insights due to operating multiple decisioning systems.
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28% noted inconsistent customer experiences as a consequence of poor data orchestration.
5. Gaps in Fraud Prevention
Organizations are also facing challenges in fraud mitigation:
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37% struggle to effectively orchestrate data for application fraud prevention, particularly when incorporating new data sources.
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36% cited difficulty applying AI and machine learning to fraud detection.
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Nearly one-third stressed the need to eliminate data silos between fraud and credit risk teams to create a fully integrated fraud prevention strategy.
“Financial institutions are keenly aware of today’s increasingly complex threat landscape and must adopt new approaches for improved risk decisioning and fraud prevention across the customer lifecycle—while delivering frictionless and personalized customer experiences,” said Carol Hamilton, Chief Product Officer at Provenir. “An AI decisioning platform that unifies credit and fraud risk teams can enable holistic, end-to-end decisioning with a 360-degree view of the customer.”
About the Survey
The survey was conducted between November and December 2024. Participants held mid-to-senior level roles—manager, director, vice president, or executive—within banks, fintechs, and financial services providers globally.
About Provenir
Provenir empowers financial institutions to make smarter risk decisions through its AI Decisioning Platform. The platform integrates decisioning, data, and decision intelligence to drive innovation across the entire customer lifecycle—enhancing fraud prevention, customer experience, financial access, and organizational agility.
