ON-DEMAND WEBINAR

AI in Internal Audit: From Capability to Implementation

DCR-Logo(WHITEOUT)  On-Demand Webinar - AI in Internal Audit (1)

We recently hosted our second webinar in our AI in Internal Audit Series in partnership with Bloch AI - "AI in Internal Audit: From Capability to Implementation." This session guided Internal Audit teams through the practical journey of embedding AI into their core processes, moving beyond experimentation to create scalable, operational AI capabilities.

Our expert speakers, Charlotte Kendal Parker and Jamie Crossman-Smith walked through the complete process of integrating AI into an audit workflow, using report-writing as a worked example.

In the session, we explored: 

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How to embed AI into day-to-day audit work

Asset 4-2How to build a report-writing agent using accessible tools (live demo)

Asset 4-2How to train AI on your audit function's writing standards, style and tone

Asset 4-2How to create prompts that deliver consistent, high-quality drafts

Asset 4-2How to turn simple agents into reliable, scalable audit tools

 

Watch now

Meet our speakers

Charlotte Kendal Parker

Charlotte Kendal Parker - Senior Manager at DCR Partners

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 Crossman-Smith

Jamie Crossman-Smith - Founder and Principal at Bloch AI

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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