MAI • SRA • AI–RRS • Appraisal Institute
If your institution has a commercial real estate appraisal portfolio and needs to bring AI inside — safely, under regulation, at institutional scale — Paul is the person who has actually done it. There are fewer than five people in the country who have. He shepherds banks, lenders, and regulated lenders through AI adoption in appraisal, the right way.
Every major bank in the country is sitting on commercial real estate exposure underwritten in a different rate environment, a different office market, a different world. Boards want answers. Regulators want confidence. And the traditional appraisal process — built for a slower era — is struggling to keep pace.
AI can dramatically accelerate, sharpen, and scale the appraisal function. But knowing that and knowing how to actually implement it inside a federally regulated institution are two very different things.
The list of people who have genuinely solved this — not in a lab, not in a deck, but in a live banking environment with real portfolios and real examiners — is very short.
Across the entire US banking system, fewer than five practitioners have successfully built and operated AI-powered commercial real estate appraisal programs at the scale that major financial institutions require. The regulatory environment alone eliminates most. The depth of CRE expertise eliminates more. Doing both — simultaneously, inside a functioning bank — is where the list becomes very short.
Paul Sherrock is on that list.
Paul Sherrock has been working in commercial real estate valuation since 1975. Over five decades he has seen every market cycle, navigated every regulatory evolution, and developed the kind of field-tested judgment that cannot be acquired in a classroom or compressed into a career.
His most recent institutional role was VP of Risk and CRE Chief Appraiser at Bank of New York Mellon | Pershing — one of the world’s most systemically significant financial institutions, with over $52 trillion in assets under custody. In that capacity, he worked at the intersection of appraisal practice, regulatory compliance, and emerging technology at a scale that very few practitioners ever encounter.
Prior to BNY, Paul served as CRE Review Appraiser at Santander Bank, developing deep fluency in portfolio-level valuation under live regulatory scrutiny. His designations — MAI, SRA, and AI-RRS from the Appraisal Institute — reflect the profession’s highest standards. He holds them because he earned them.
“The technology exists. The regulatory framework exists. What most institutions are missing is someone who genuinely understands both — and has the scar tissue to prove it.”Paul Sherrock, MAI, SRA, AI-RRS
Paul has operated inside one of the world’s largest and most complex financial institutions. He understands how decisions get made, how risk gets managed, how examiners think, and how to build programs that survive contact with the real world — not just the boardroom.
Not advisory. Not pilots. Paul has been part of operationalizing AI-driven appraisal workflows at institutional scale — producing outputs that are defensible under regulatory scrutiny and usable in real credit decisions. That experience is genuinely rare.
FIRREA. OCC. Federal Reserve. FDIC. Paul has worked within all of these frameworks, not just studied them. He knows where AI creates legitimate efficiency — and where it creates examination risk if deployed carelessly.
An honest evaluation of where your CRE appraisal function stands — its capacity, technology readiness, and regulatory exposure — with a clear view of the path forward.
Practical guidance on introducing AI into CRE valuation workflows — sequenced for regulatory acceptability, built for defensibility, designed to work at your institution’s scale.
AI-assisted revaluation of CRE loan portfolios to surface concentrations and valuation gaps — before regulators provide their own version.
Pre-examination appraisal reviews, policy gap analysis, and targeted remediation for institutions facing OCC, Federal Reserve, or FDIC scrutiny of CRE concentration risk.
Independent review of AVM providers and AI-driven valuation tools — assessed for accuracy, model risk, and whether they hold up when an examiner looks closely.
Direct briefings for boards and risk committees on the CRE valuation landscape, the realistic potential of AI, and what a credible modernization program actually looks like from the inside.
In February 2026, CNBC reported that Bank of New York Mellon spent $3.8 billion on technology in 2025 — roughly 19% of its total revenue, the highest proportion among all large-bank peers. Goldman Sachs separately projected a potential 19% boost to BNY’s earnings per share from AI-driven productivity gains.
BNY has deployed over 130 “digital employees” — AI agents working alongside its 48,000-person workforce — and has put nearly its entire staff through structured AI training. CEO Robin Vince has stated plainly that every manager at the bank will eventually lead teams of both humans and AI agents.
Paul Sherrock was building the appraisal layer of this institution’s AI transformation before it became a headline. The banks now watching BNY from the outside and wondering how to catch up are precisely the institutions he is positioned to help.