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Date: Mon, Jan 19, 2026
Time: 5:00 PM - 7:00 PM (UTC+03:00)

AI in Internal
Audit & Risk

Turning insight into intelligent assurance.

AI is reshaping how audit and risk leaders uncover insight, strengthen assurance, and anticipate what's next.

Join Haceb × Diligent for an executive session on how intelligent audit delivers faster, smarter decisions.

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Webinar Objectives – Why Attend

From risk to resilience discover how AI accelerates assurance.

AI has become the driving force of modern audit. This session brings together leading experts to unpack:

• What Middle East audit leaders can learn from global adoption trends.

• Real-world use cases transforming fraud detection, continuous monitoring, and risk management.

• How AI enhances assurance coverage and drives data-driven decision-making.

• How Diligent's ACL AI Studio helps teams run smarter tests and automate workflows — all without code.

Meet Our Speakers

Mahmoud Elbagoury

Mahmoud Elbagoury

Internal Audit & GRC Strategist and Anti-Fraud Thought Leader, serving as the Chief Audit Executive at Ladun Investment and Founder of the GRC HUB.

Phil Lim

Phil Lim

Director of Product Management at Diligent, a technology company creating and leading the modern governance movement: giving leaders a connected view of governance, risk, compliance across their organization.

Our Schedule

Welcome & Opening Remarks

Why AI is now a top audit priority.

Session 1

How AI is Reshaping the Audit Profession

with Mahmoud Elbagoury, Internal Audit & GRC Strategist, Chief Audit Executive at Ladun Investment.

  • 15 min: The evolution of AI in risk & audit. Global and Middle East trends.
  • 20 min: Practical use cases: anomaly detection, continuous monitoring, fraud detection.
  • 10 min: Moving from manual sampling to AI-driven assurance.
  • 5 min: Session recap and Q&A.

Session 2

Leveraging Generative AI – Audit, Risk & Fraud Analytics

with Phil Lim, Director of Product Management – Analytics & Continuous Monitoring at Diligent.

  • 20 min: Applying AI in practice.
    Key challenges in audit and fraud analytics, including data quality, bias, transparency, explainability, and regulatory alignment.
  • 20 min: Shifting-left with generative AI.
    Using AI-enabled insights in risk assessment and analytics while maintaining professional skepticism.
  • 5 min: Case examples.
    Using generative AI to structure risk registers, refine risk definitions, reclassify issues, and surface emerging risk patterns.
  • 10 min: ACL AI Studio overview.
    How auditors can gain efficiency from generative AI while preserving trust in audit and risk use cases.

Closing Discussion & Live Q&A

Real-world adoption insights, Q&A, and key takeaways on how AI is shaping the future of audit.

Be part of the conversation shaping audit's AI future.
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