Audit Analytics and AI Conference
you will learn about:
AI/Analytics Use Cases in Audit and Risk
What Will Be Covered in This Session
This session will explore practical use cases for applying data analytics and AI across Internal Audit and Risk activities, including audits, risk assessments, SOX testing, and other day-to-day audit work. Karishma will share examples from recent projects showing how analytics and AI have helped identify risk patterns and anomalies, improve testing and risk coverage, and analyze large datasets more efficiently. The session will also cover lessons learned from adopting these capabilities in practice, including where human judgment, validation, and oversight remain critical, and how audit teams can thoughtfully integrate analytics and AI into existing workflows.
Learning Objectives
1. Identify current use cases for AI and analytics in audits.
2. Describe how analytics supports risk assessments.
3. Explain applications of AI in SOX compliance work.
4. Recognize opportunities to apply AI to business-as-usual (BAU) tasks.
About Speaker
Karishma Velisetty is a data analytics and risk intelligence leader with 10+ years of experience across internal audit and finance. She specializes in building analytics platforms, fraud detection models, and continuous monitoring solutions that help organizations identify emerging risks, reduce manual effort, and strengthen control environments. At Spotify and Amgen, she has led high-impact audit analytics, automation, and risk assessment initiatives across finance, compliance, payroll, third-party risk, and enterprise systems. Her work combines data science, investigative methodology, and executive reporting to deliver actionable insights for senior leadership and risk stakeholders.
