Audit Analytics
JT Erwin
I think about how to make audit analytics credible, scalable, and actually useful. I write about what I'm learning—on methodology, capability building, and what separates analytics that hold up under scrutiny from analytics that don't.
Recent Writing
All articles →Building Credible Audit Analytics: Why Explainability Matters
Audit analytics face a unique constraint: the analysis must be explainable to someone who wasn’t in the room. Most analytics advice …
Nov 2025
From Spreadsheets to Scalable: Maturing Audit Analytics
Most audit analytics programs get stuck somewhere between spreadsheets and scalability. The obstacles aren’t usually technical.
Oct 2025
Governance Models for Audit Analytics (And Why Most Fail)
Most audit functions that try to govern their analytics start in the wrong place. They focus on policies when the real problem is clarity …
Sep 2025
What I'm Learning About Skills Assessment in Internal Audit
Skills assessments in audit analytics often measure confidence rather than capability. Here’s a more honest approach.
Aug 2025
Analytics vs. Automation: What Actually Matters
Analytics and automation serve different purposes in internal audit. Conflating them leads to bad strategy and wasted investment.
Jul 2025
About
Full bio →Senior internal audit leader at a large regulated financial institution. I focus on making analytics work in practice—not just in pilots. That means building credible methodologies, upskilling teams, and earning regulatory confidence in what we build.
I write to figure out what I think. Occasionally I get it right.