Human-AI Collaboration in Risk Management: Enhancing Compliance Workflows
Year: 2025
Type: article
Abstract: The financial risk management landscape has undergone a significant transformation, driven by technological advancements and expanding regulatory frameworks. Financial institutions face mounting challenges with traditional manual processes struggling to navigate complex compliance requirements. Artificial intelligence offers powerful capabilities in data processing and pattern recognition, transforming how organizations approach regulatory compliance through automated monitoring, reporting, and risk detection. However, technological solutions alone cannot address the nuanced judgment required for effective compliance. This article explores the symbiotic relationship between human expertise and AI capabilities in financial compliance workflows, examining implementation models that balance automation with expert oversight. By integrating computational power with human contextual understanding, organizations can achieve more comprehensive compliance monitoring while optimizing resource allocation. The discussion covers AI's capabilities and limitations in compliance contexts, effective human oversight frameworks, implementation considerations, and both benefits and challenges of hybrid approaches, providing practical insights for institutions seeking to enhance compliance effectiveness in increasingly complex regulatory environments.
Author: Pratikkumar Bhupendrabhai Patel
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6893417873
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