Businesses have always complained about compliance obligations. Could they automate themselves out of it?

2025-12-30 · Source: Tech Monitor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Data Science & Analytics · Depth: Intermediate, medium

Summary

Businesses face a continuously expanding compliance burden, with regulations like "know your customer" and EU energy efficiency demands for data centers becoming increasingly complex and costly. The US Bureau of Labor Statistics identified 418,000 compliance officers in 2024, a figure projected to grow by 3% by 2034. Traditional compliance methods, often involving manual checks and disparate document formats like Excel and PDFs, are inefficient and do not scale for companies with numerous subsidiaries. The Continuous Compliance Framework, an open-source platform, aims to centralize compliance data and workflows, paving the way for automation and AI. Agentic AI is proposed to evaluate distributed data and make decisions, while generative AI can aggregate information and surface relationships in complex documents. A collaboration between Pegasystems and Santander in Brazil demonstrated an 80% staff reduction, a 5% accuracy improvement to 98%, and a 50% jump in service level attainment by applying generative AI to review legal documents.

Key takeaway

For executives and compliance officers grappling with escalating regulatory demands and high operational costs, adopting AI-powered compliance solutions offers a clear path to efficiency. Your organization can achieve significant reductions in staffing, improve accuracy, and boost service level attainment, as demonstrated by Santander's 80% staff reduction and 98% accuracy. Prioritize understanding your compliance obligations and processes to identify areas where automation and AI can provide the most impact, while retaining human judgment for high-risk assessments.

Key insights

AI and automation can significantly reduce compliance costs and improve accuracy by streamlining complex regulatory processes.

Principles

• Compliance complexity demands scalable solutions.
• Centralized data improves compliance management.
• Human oversight is crucial for high-risk assessments.

Method

The Continuous Compliance Framework centralizes compliance data, enabling real-time dashboards and audit readiness. Agentic AI evaluates distributed data for compliance decisions, while generative AI aggregates information from legal documents for human review.

In practice

• Implement agentic AI for multi-jurisdictional compliance.
• Use generative AI for legal document review.
• Centralize compliance data with a unified platform.

Topics

• Compliance Automation
• Generative AI
• Agentic AI
• Regulatory Compliance
• Financial Services AI

Best for: Executive, Investor, Entrepreneur, Director of AI/ML, CTO, Legal Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.