GenAI in Risk & Compliance: What the Big Four Have Already Implemented—And What You Can Start Today

How generative artificial intelligence is transforming everyday compliance and risk management — practical implementations, trends, and tips for your business

27 June 2025

Generative AI (GenAI) is rapidly reshaping the landscape of risk and compliance. While global giants like Deloitte, EY, PwC, and KPMG invest heavily in developing proprietary GenAI tools, these innovations are no longer reserved for the world’s largest organizations. Even small and medium-sized enterprises can leverage GenAI today to automate compliance, streamline risk management, and gain a competitive edge. What are the Big Four actually using GenAI for, what works in practice, and how can your business start benefiting right now? This article explores the current state of GenAI in risk and compliance, with practical examples and advice.

What Is GenAI, and Why Does It Matter for Compliance?

GenAI systems, powered by large language models (LLMs), can generate, analyze, and interpret massive volumes of documentation, policies, audit reports, and regulatory updates. For risk and compliance teams, this means tasks that used to require hours—or days—can now be automated, while professionals focus on strategy and judgment. GenAI increases speed, accuracy, and scalability, while also reducing the risk of human error and missed insights.

How Are the Big Four Using GenAI in Practice?

Deloitte

Deloitte has introduced in-house GenAI platforms like SOX.ai to automate Sarbanes-Oxley (SOX) compliance, and “AI Risk Sensing” for early detection of new risks and fraud patterns. Deloitte also deploys AI-powered chatbots to support onboarding and incident management for compliance teams.

EY

EY’s proprietary GenAI tools—such as those in the EYQ suite—analyze policies, generate audit reports, summarize regulatory changes, and identify inconsistencies in data. The EYQ Compliance Navigator helps organizations prioritize critical risks and focus audits where they matter most.

PwC

PwC has invested over $1 billion to integrate GenAI (including ChatGPT Enterprise) into its audit, tax, and compliance services. The “GenAI Insights” tool automatically tracks regulatory changes and generates real-time legal updates, helping both PwC professionals and clients respond quickly to new requirements.

KPMG

KPMG is integrating GenAI into due diligence, ESG reporting, and compliance testing. The firm is also investing in “AI assurance”—the auditing and validation of AI systems themselves. KPMG’s GenAI solutions automate document management, risk reporting, and internal audits.

How Can Smaller Firms Leverage GenAI?

You don’t need a Big Four budget or a data science team to get started. Here’s what you can do today:

1. Automated Regulation Review and Summarization

With tools like ChatGPT, Copilot, or JasperAI, you can quickly analyze and summarize new regulations, internal policies, or contract requirements.

2. Document Generation and Compliance Analysis

Use GenAI to draft policy templates, procedures, checklists, or audit reports. Compliance officers can focus on reviewing and refining content instead of writing everything from scratch.

3. Risk Monitoring and Incident Response

Modern compliance platforms (like Vanta, Drata, or OneTrust) now integrate AI to monitor for breaches, generate alerts, and recommend remediation steps. GenAI can also analyze whistleblower reports and communication channels for unusual patterns.

4. Training and Upskilling

GenAI enables creation of interactive training modules, compliance quizzes, and case studies. Automated knowledge checks and scenario-based learning can boost employee awareness and engagement.

5. Internal Q&A and Chatbots

AI-powered chatbots provide instant answers to employee questions about GDPR, AML, or cybersecurity—freeing up compliance officers for higher-value work.

What to Watch Out For: Risks and Challenges

Data Security: Carefully manage GenAI’s access to sensitive data. Always work within secure, controlled environments.
Quality Assurance: AI-generated content must be reviewed—LLMs may sometimes “hallucinate” or misinterpret complex requirements.
Regulatory Compliance: Keep up with emerging rules (like the EU AI Act) on the use of AI in risk and compliance.
The Human Factor: The best results come from “human-in-the-loop” workflows—AI supports, but humans approve and decide.

The Future: What’s Next for GenAI in Compliance?

The Big Four are doubling down on GenAI innovation, while regulators are beginning to require audits and assurance for AI-driven solutions. For smaller organizations, this is an opportunity—new tools can be tested and adopted much faster than in large corporations. The race for smarter, more effective compliance is just getting started.

Conclusion and Recommendations

GenAI already increases compliance efficiency, accelerates audits, and improves risk management.
Start small: focus on automating regulation review, document generation, and training.
Always combine AI automation with expert human oversight.
Monitor regulatory changes and adapt your workflows.
Don’t wait—firms that adopt GenAI today will lead the industry tomorrow.

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