Walsh SRA helps banks, insurers, asset managers, and private equity firms build board-level governance for AI risk, using the same ARCHITECT™ discipline already applied to climate and sustainability risk.
The EU AI Act's high-risk obligations for credit scoring and insurance pricing now apply from 2 December 2027, after the July 2026 Digital Omnibus moved the original August date. The deadline moved; the expectation did not. The FSB's 2026 Sound Practices consultation places the direction and oversight of AI adoption with the board and senior management. In the US, the OCC and Treasury have both moved to fold AI risk into existing supervisory frameworks. Most institutions can describe what they're doing with AI. Few can produce the governance evidence a supervisor or investor will actually ask for: named ownership, a live system inventory, documented human oversight, decision traceability.
Walsh SRA applies the ARCHITECT™ Governance System, the same six-pillar framework built for climate and sustainability risk, to AI governance. Because the underlying discipline regulators are testing, not the subject matter, is what determines whether governance holds up under examination, the translation from one risk domain to the other is close to direct: named accountability, integration into core ERM rather than a parallel technology process, and documentation that would stand up to an EU AI Act conformity review, a fair-lending exam, or investor due diligence.
A structured evaluation of AI governance maturity across the six ARCHITECT™ pillars: named ownership, ERM integration, financial exposure translation, horizon scanning, board reporting, and decision traceability.
Delivers a clear, prioritized picture of where AI governance is strong, where it's exposed, and what a supervisor, conformity assessor, or investor would find if they asked today.
Typical engagement: 2–3 weeks.
Ongoing advisory support for institutions building out AI governance infrastructure: board and committee reporting design, model inventory and risk classification frameworks, vendor AI risk oversight, and preparation for EU AI Act conformity review or US supervisory examination.
Typical engagement: quarterly or annual advisory retainer.
Not sure how your AI governance would stand up under review? Start with a conversation about where you stand today.
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