Webinar - AI in Internal Audit Series
AI in Internal Audit: From Capability to Implementation
Tuesday 27 January, 11:00 - 12:00 GMT
Join us on 27 January at 11am for the second webinar in our AI in Internal Audit series, hosted in partnership with Bloch AI. The session will guide Internal Audit teams through the practical journey of embedding AI into their core processes, moving beyond experimentation to create scalable, operational AI capabilities.
Using report writing as a worked example, the session will demonstrate the complete process of integrating AI into an audit workflow.
By attending this session, you'll learn how to:
Truly integrate AI beyond ad-hoc experimentation
Begin building a report writing agent using accessible tools, including a live demonstration of:
• Creating agents for writing audit reports
• Training AI on your function's writing standards, style and tone
• Developing prompts that deliver consistent, high-quality first drafts
Enhance basic agents into robust, operational tools
You will walk away with the knowledge to begin building your own AI-driven report writing tools while understanding the additional considerations required to make them reliable, scalable and audit-ready. Register today!

Charlotte is a Senior Manager, responsible for providing a range of Governance, Risk and Assurance services for our clients. Charlotte brings a wealth of knowledge and experience in these areas, having spent over a decade in Big 4 professional services specialising in Internal Audit, Risk Assurance and Advisory. She is a qualified Chartered Accountant and has recently returned to the UK after 8 years in Australia.
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Jamie has over two decades of experience advising boards and executives in audit, finance, risk, and control. He brings deep industry experience and a future-focused perspective on how AI is reshaping the consulting landscape. His background also includes extensive hands-on experience in financial services, regulatory compliance (former UK FCA Approved Person), and technical expertise in data science, machine learning, and data governance.
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