Operationalizing AI Compliance Obligations in Financial Services

How process mining helps financial institutions achieve transparent, compliant AI-based processes

At least 40% of customer interactions in financial services are now AI enabled … and 71% of those customers demand greater transparency when engaging in AI-supported transactions.

Adding to the complex picture of AI in financial services are regulations such as the EU AI Act, which imposes strict requirements regarding data governance, record-keeping, and transparency around AI-based processes.

Complex workflows and disparate data silos create sizable challenges for organizations seeking to meet these demands—challenges that process mining is uniquely suited to help them address.

This white paper from Law + Data, co-authored by ABBYY’S AI Ethics Evangelist Andrew Pery, presents a comprehensive look at how process mining helps financial institutions achieve transparent, compliant AI-based processes.

Download your copy to learn:

• The current state of AI regulation in financial services
• The unique challenges in model risk management (MRM)
• AI models compared to traditional models
• How process mining enhances AI auditability and traceability
• Specific advantages of process mining in credit decisioning
• How process mining enables better decision-making, reduced compliance costs, and improved regulatory alignment