The Role of Data Analytics in Internal Audit

Internal audit is no longer just about compliance and risk mitigation—it has become a strategic function that safeguards business integrity and enhances operational efficiency. Today’s internal auditors are expected to manage increasingly complex financial landscapes, address rising regulatory pressures, and provide continuous risk insights.
Traditional audit approaches—rooted in outdated practices—are being transformed by modern data analytics methodologies.

AI-Driven Transformation

AI isn’t just an upgrade to financial processes—it’s transforming the entire enterprise. From governance and compliance to financial oversight and risk management, AI is now embedded in processes that once relied on manual oversight. As MindBridge CEO Stephen DeWitt puts it: “Every process that predated AI will be reimagined, powered by AI.”

The Need for Centralized Insights

CFOs must embrace AI to stay ahead—see how a Centralized Insights Factory enables continuous auditing, risk detection, and enterprise-wide collaboration.

Private Equity and AI in Accounting

As private equity firms ramp up investments in public accounting, they’re zeroing in on firms that can scale operations, boost margins, and modernize service delivery. What sets these firms apart? The strategic use of technology, not just to support daily operations, but to unlock new service opportunities, improve decision-making, and position the firm for long-term success.

The New Reality of Financial Risk Management

Financial risk management is evolving. It is no longer just about compliance and loss prevention—it’s about enabling enterprise growth. Today’s CFOs are tasked with balancing risk-adjusted decision-making while ensuring operational efficiency, regulatory compliance, and strategic agility. However, legacy risk management models—rooted in fragmented data, manual oversight, and static assessments—are failing to meet these demands.

The IIA GAM 2025 Conference

The IIA GAM 2025 Conference brought together the brightest minds in internal audit, finance, and risk management. Over three days in Orlando, industry leaders tackled the biggest challenges facing audit teams today—rising financial complexity, growing regulatory pressure, and the undeniable need for AI-driven transformation.

Transforming the Year-End Close with AI

Year-end accounting isn’t just about closing the books—it’s an opportunity to uncover financial insights, identify risks, and strengthen compliance. Yet, for many finance teams, this process remains manual, error-prone, and time-intensive. AI-powered financial intelligence changes that. By automating anomaly detection, streamlining reconciliations, and improving data accuracy, AI enables finance teams to close the books more effectively.