Secure Workflows: Protecting Data in Global Outsourced Operations
18 DECEMBER 2025
What you’ll learn:
- How to be amongst the top 25% of audit leaders who can actually audit AI.
- Real examples of where AI-governance assurance demand is coming from, and the agentic-AI risks clients can’t yet see (shadow AI, embedded vendor AI, model drift, hallucinated assurance).
- A six-point readiness self-assessment and three concrete actions to build specialist capacity ahead of the Q4 rush.
Why this matters now
Internal audit is being rewritten in real time. Full-population testing, continuous monitoring, and AI-governance assurance are now the bar, and regulatory change is outpacing annual audit cycles. Most firms feel the gap between what clients now expect and what their practice can currently deliver.
In this Windy Street webinar, Himanshu Aggarwal (VP, Audit and Business Advisory and a US Certified Public Accountant) breaks down where AI-governance assurance demand is coming from, the agentic-AI blind spots most firms haven’t accounted for, and why scaling in-house or defaulting to traditional offshore both tend to hit a wall, and what an embedded, white-label delivery model does differently on quality, security, IP, and attrition.
No theory, just real examples and practical solutions built for audit practice leaders who need to close the AI-assurance gap without diluting quality or brand.
