For a mid-market bank executive evaluating advisory options, the critical question is: does this firm solve problems my current auditors and consultants can't? Based on the methodology, the answer is yes — in a specific and important way. Big 4 firms excel at compliance mapping and policy documentation. What typically falls through the gap is the governance architecture layer — the structural design that connects policy intent to operational evidence. This is precisely where this methodology operates. The proposition that AI governance is an extension of existing governance discipline — not a separate capability requiring new frameworks — is both accurate and commercially powerful. It reduces perceived complexity for the buyer while delivering a more rigorous solution. The case studies demonstrate something hard to fabricate: sustained, multi-year governance design within a single institution. That's a meaningful credibility signal for any executive making a trust decision.