The platform and the person behind it

About

The hardest thing about leading through change is that it rarely arrives one challenge at a time.

Right now, internal audit is being asked to absorb a remarkable amount at once -- and most are doing it while still running a full audit calendar, managing a lean team, and trying to figure out what the new normal looks like before the old one has fully disappeared. AI is reshaping risk environments faster than most functions can develop governance for it. Enterprise systems are being replaced, taking years of institutional knowledge with them. The IIA’s 2024 Global Internal Audit Standards have raised the bar on what rigorous, risk-based assurance actually requires. Executive expectations around audit’s strategic value have never been higher. And the analytics capability that was a differentiator three years ago is quickly becoming the baseline.

Each of those shifts is significant on its own. Together, they represent a learning curve that is genuinely steep.

The leaders who navigate that kind of pressure well tend to do something counterintuitive. They resist the instinct to react. They pause. They assess where they actually are. They identify what matters most. And they move forward with intention rather than urgency. That posture is harder to practice than it is to describe -- especially when everything feels urgent at once. This platform is an attempt to make it more practical.

This platform was built from inside that pressure, not from a distance.

When my organization went live on a new ERP, I watched almost everything I had built quietly become unusable. Not all at once. The organization was modernizing -- investing in new infrastructure, new governance models, new ways of managing data at scale. That investment was the right call. But modernization requires stabilization, and stabilization takes time. Data access that had existed informally for years was now locked behind governed request processes. The monitoring routines I had built were connected to architecture that no longer existed. The analytics I had spent years developing and validating were no longer usable in the new environment. That is simply how enterprise transitions work -- the rebuild cannot begin until the organization has found its footing. There is no shortcut to that sequence.

What that moment required -- and what I have come to believe every significant transition requires -- was the discipline to resist the pressure to react and instead ask the harder questions. Not how do we restore what we had, but what should we actually be building? Not how do we recover, but how do we emerge from this better positioned than we were before? Holding that strategic frame while simultaneously keeping a team functioning and delivering on existing commitments is the real leadership challenge of modernization. It does not get discussed enough.

The frameworks on this platform came out of working through those questions deliberately -- grounded in published research, professional standards, and the kind of firsthand operational experience that makes the difference between a framework that holds up in practice and one that only works on paper.

The AI-Ready Audit is a research-supported, experience-tested resource for audit professionals who are doing the hard work of modernizing in real conditions -- not ideal ones.

The frameworks here are not theoretical. They were developed by a practitioner working through real conditions -- grounded in published research, professional standards, and firsthand operational experience. The goal is not to prescribe what the future of audit should look like. It is to give the people building toward it something grounded to work from -- so the process of getting there is a little more intentional and a little less overwhelming.

Every section was built around two questions: what does the evidence actually support, and what does this look like in practice for a function that still has to deliver while it builds? That is the standard this platform holds itself to.

Nicole Robbins

Manager, Internal Audit | Analytics Strategy, Methodology Design, and Audit Modernization

I lead analytics strategy, methodology design, and audit modernization for internal audit at a large national electrical distributor -- an operation spanning hundreds of locations, multiple subsidiaries, and transaction volumes that make traditional sampling methods genuinely insufficient rather than merely inconvenient.

I came to internal audit through a path I would not trade. Early in my career I managed legal operations across multiple practice areas -- leading teams, owning the customer experience, and building the processes and accountability structures that made a complex operation run. That experience shaped how I think about people, operational discipline, and what it actually takes to lead a function through change. I brought that foundation into a twelve-year tenure at my current organization, moving through supply chain operations, HR analytics, and strategic accounts before stepping into audit -- building an understanding of how distribution businesses actually work from the inside before I ever started auditing them.

I think about audit from the operational level up, not from a standards document down. That orientation shapes how I identify risk, how I design analytics, and how I navigate the organizational conversations that determine whether audit has the access and influence it needs to do meaningful work. In practice it has meant designing analytics that surfaced anomalies leading to fraud investigations, identifying segregation of duties exposures, and building monitoring routines that detect operational leakage. It has also meant developing the methodology infrastructure -- the access pathways, the monitoring frameworks, the governance structures -- that makes those capabilities repeatable and defensible rather than dependent on a single person or a single engagement.

I am pursuing a Master of Science in Human-Centered AI at Lindenwood University -- because the governance questions that will define audit’s relevance in the next decade sit at the intersection of accountability and intelligent systems. How do organizations maintain meaningful human oversight when algorithms are making operational decisions? How do audit functions provide credible assurance over processes they cannot fully observe? Those are not hypothetical questions in my work. They are the ones I am actively working to answer.

I serve as Professional Development Chair for WINGS at Graybar and previously served as Vice President of the Women in Industry Steering Committee -- a cross-industry initiative connecting women leaders across distributors and manufacturers nationwide. Both roles reflect the same conviction that runs through this platform: that investing in people and building things that last are the work worth doing. Outside of work I contribute through Rebuilding Together, Habitat for Humanity, Sleep in Heavenly Peace, and the YMCA.

If you are working through similar challenges in your audit function, I would genuinely welcome the conversation.

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The audit functions that come out of this period strongest will not be the ones that moved the fastest. They will be the ones that stopped long enough to think clearly, built with intention, and made deliberate decisions about what kind of function they wanted to be on the other side of the change.

That is what this platform is built to support -- one decision at a time.