About - Audit Analytics and AI Conference

About Us

About The Audit Analytics and AI Conference

We started The Audit Analytics and AI Conference after attending so many webinars and conferences where we would inevitably be sitting there asking, “Can you show us how to do that?”

Who We Are

Founded by Greenskies Analytics and led by Trent Russell, the conference grows out of the shared belief that audit isn’t only about compliance; it’s about actually adding value.

What We Do

Over recent years, internal audit has seen a sharp increase in the adoption of analytics and AI. What used to be about sampling has evolved toward examining full datasets, enabling organizations to spot anomalies earlier, improve risk assessments, and offer greater assurance.

Our Goals

That’s where this conference steps in. We don’t just talk theory; we bring together practical examples, tools, and shared experiences from your audit peers that are doing the work.

Why Join Us

We believe in usefulness over buzzwords. Whether you’re just beginning your analytics journey or pushing the boundaries of what's possible with AI in audit, you’ll find value here: not only in what you learn, but in the insights you take home and the confidence to put ideas into practice.

Testimonial

What They Say About Us

During a market downturn a few years ago, this was the one conference I sought budget approval for during that year, for my whole audit team, and it was beyond worth it. Still use skills and techniques learned during it. Highly Recommend!

This is the highest ROI that I get on a CPE every year.

I’ve attended countless professional trainings, but this one stands out. Every session provides takeaways I can immediately apply. It is well worth the time and investment.

I don’t say this lightly: this is my favorite Internal Audit AI & Analytics training event. Why? Because this conference is built for auditors who actually want to do the work: Hands-on demos, Real tools (not buzzwords), Practical ideas you can take straight back to your audit shop.

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