Confidence by Design: Redefining Standards in AI-Driven Auditing
The Real Playbook for Independent, Transparent Algorithm Assurance
As AI takes on an increasingly central role in audit decision-making, finance and audit leaders are faced with a critical choice: rely on blind trust or demand earned confidence.
MindBridge and Holistic AI chose the latter. Rather than just talk about algorithm assurance, we built it — delivering one of the industry’s most transparent, independently
verified AI audits.
Now we are pulling back the curtain to reveal exactly how it was done – and why it matters
more than ever.
Agenda Overview
- Why Algorithm Audits Matter — Context from developers and assurers
- The Journey — Building credibility, trust, and audit trails for AI tools
- How the Audit Was Done — Methodologies, frameworks, and collaboration
- Findings & Industry Impact — What it means for auditors, regulators, and clients
- Takeaways for the Future — Practical steps to safeguard AI in audit
Plus, a live Q&A: Bring your questions — let’s talk openly about trust, ethics, and innovation in audit analytics.
What you'll discover
- Why AI/ML audit tools must be audited too — and why it matters for regulatory compliance and client trust.
- The real journey of building an assurance framework for risk, bias, data ethics, and reproducibility.
- Key takeaways that audit firms and finance leaders must know to avoid blind trust in black-box analytics.
- Practical advice to raise the bar on algorithm governance in your firm.
This isn’t theory — it’s a real-world, hands-on blueprint for securing the future of trusted auditing.
About our Speakers
Rachel Kirkham
Senior VP, AI & Product, MindBridge
Wenzel Reyes
Senior Audit Methodology Director
Emre Kazim
Co-founder and Co-CEO, Holistic AI
