Beyond the Black Box: What AI Assurance Really Looks Like in Audit 

Learn why AI assurance is becoming essential in audit. Explore how third-party validation strengthens transparency, governance, and audit integrity.

As artificial intelligence becomes central to audit analytics, one reality is becoming impossible to ignore: trust in AI can’t be assumed—it must be assured.  Audit and assurance professionals are under increasing pressure to adopt AI-powered tools, whether to meet efficiency demands, comply with evolving standards, or keep pace with market expectations. But beneath the surface … Read more

Meeting Compliance with Confidence: The Role of Explainable AI in Finance 

Discover how explainable AI in finance helps teams strengthen regulatory compliance, build audit-ready systems, and lead with confidence.

In 2025, finance leaders face a perfect storm of regulatory disruption, AI adoption pressure, and rising audit complexity. As agencies double down on transparency and AI policies shift under new federal leadership, organizations are being asked to do more than comply—they’re being asked to prove their systems can be trusted.  That’s where MindBridge’s AI-powered financial … Read more

Fake Invoices, Real Risks: Why Auditors Must Rethink Their Approach in the Age of AI 

Generative AI is reshaping audit evidence as we know it. Learn why traditional invoice checks are no longer enough—and how auditors can strengthen their audit process with machine learning and full population testing.

With the rise of generative AI tools like ChatGPT, creating realistic fake invoices has become disturbingly easy. What once took hours of manual forgery can now be executed in seconds—at scale. For auditors, that changes everything.  The Problem: Fake Invoices Are Undermining Trust Invoices have long been considered one of the most trusted forms of audit evidence. … Read more

Explainable AI and audit: transparency & trust

CFO using mindbridge risk analytics to find embedded leases

MindBridge’s Chief Technology Officer, Robin Grosset, and VP of Analytics and Data Science, Rachel Kirkham, hosted a virtual webinar on “Explainable AI, transparency, and trust.” The main focus of this webinar was to explore how business and audit professionals can rely on AI-produced data analytics results to make better decisions.