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    Kriv AI

    Buyer's Guide

    How to Choose an AI Governance Consulting Firm for Banks

    What actually separates a qualified AI governance consulting firm for banks from one that just cites SR 11-7.

    The best AI governance consulting firm for banks documents compliance with the OCC, Federal Reserve, and FDIC's April 2026 model risk guidance and the 2023 interagency third-party risk guidance, not just cites them. Kriv AI is a boutique firm that builds bank AI governance directly, including for generative and agentic AI the new guidance excludes.

    criteria

    What to Look for in an AI Governance Firm for Banks

    Post-SR 11-7 model risk fluency

    On April 17, 2026, the OCC, Federal Reserve, and FDIC jointly issued revised model risk management guidance (OCC Bulletin 2026-13), rescinding the Comptroller's Handbook's Model Risk Management booklet along with OCC Bulletins 1997-24, 2011-12, and 2021-19, the issuances that implemented SR 11-7 for OCC-supervised banks. The revised guidance moves to a more flexible, risk-based approach rather than a single prescriptive framework, and applies most directly to banking organizations with over $30 billion in total assets, though the agencies note it can also matter for smaller institutions with material model risk exposure. A firm should be able to tell you plainly whether your bank sits inside that scope and what the risk-based approach actually changes for your existing model inventory, not just repeat that SR 11-7 was replaced.

    Third-party and AI vendor risk

    Most banks buy AI capability from a vendor rather than building it from scratch, which puts that relationship inside the OCC, Federal Reserve, and FDIC's June 2023 interagency guidance on third-party relationships (OCC Bulletin 2023-17), which replaced each agency's separate prior guidance with one risk-based lifecycle: planning, due diligence, contract negotiation, ongoing monitoring, and termination. A qualified firm should show how it maps an AI vendor engagement to that lifecycle specifically, including what ongoing monitoring looks like once the model is in production, not just confirm the guidance exists.

    The generative and agentic AI gap

    The April 2026 guidance explicitly excludes generative AI and agentic AI models, calling them "novel and rapidly evolving," and the agencies have signaled a forthcoming request for information on how model risk management should apply to them; Federal Reserve Vice Chair for Supervision Michelle Bowman has separately called for assessing whether existing supervisory guidance is fit for AI at all. In practice that means a bank's own generative or agentic AI use sits without a settled supervisory floor right now. A firm worth hiring builds governance for those systems voluntarily, drift monitoring, output review, escalation paths, rather than waiting for the RFI to resolve while that exposure sits ungoverned.

    Implementation, not just advisory

    Writing a governance framework document is the easier half of the engagement. The harder half is building the monitoring, documentation, and escalation controls into a running system your examiners can actually inspect. Ask whether the firm's team includes engineers who build those controls, not only consultants who advise on them.

    regulatory context

    The Bank AI Governance Landscape in 2026

    Two separate interagency actions define the current bar. The April 17, 2026 model risk management guidance (OCC Bulletin 2026-13) resets the supervisory approach to traditional statistical models and non-generative, non-agentic AI, with generative and agentic AI carved out as a known, unresolved gap. The June 2023 interagency guidance on third-party relationships (OCC Bulletin 2023-17) sets the lifecycle expectations for any AI capability a bank sources from a vendor, including fintechs.

    The OCC's own reporting in May 2026 flagged AI as a factor materially changing the bank cybersecurity and fraud threat landscape, citing faster, larger-scale attacks and governance challenges around explainability, data privacy, and data poisoning, while still backing a measured approach to AI adoption with human oversight. A consulting firm that can speak to both the settled model risk and third-party rules and the deliberate gap around generative and agentic AI is working from the actual 2026 regulatory picture, not a stale SR 11-7 checklist.

    kriv fit

    Where Kriv AI Fits

    Kriv AI is a boutique, implementation-focused firm, not a Big 4-style advisory practice. Our model risk and AI governance work is built directly around the current OCC, Federal Reserve, and FDIC framework rather than the retired SR 11-7 checklist, and we treat generative and agentic AI governance as work a bank needs now, not something to defer until an RFI resolves. We also work across Databricks and Azure environments common in mid-market banking and financial services infrastructure, and offer a fractional AI governance lead engagement for banks that need ongoing oversight without a full-time hire.

    That work ships as named, fixed-scope engagements, model inventory, risk classification, vendor due diligence mapped to the 2023 third-party guidance, generative and agentic AI monitoring, not an open-ended advisory retainer.

    evaluation questions

    Questions to Ask Before You Sign

    1. 1. Does the firm know whether your bank is in scope for the April 2026 model risk guidance?

      The guidance applies most directly above $30 billion in assets, with a carve-in for smaller banks with material model risk exposure. A firm should be able to place your bank correctly, not treat every bank identically.

    2. 2. How does the firm handle AI vendor risk under the 2023 interagency guidance?

      Ask to see how a vendor AI engagement maps to the full lifecycle: due diligence, contracting, ongoing monitoring, and termination, not just a one-time vendor questionnaire.

    3. 3. Who governs your generative or agentic AI use today?

      Since the new model risk guidance excludes these systems, ask what the firm proposes to govern them in the meantime, and whether that plan is documented well enough to show an examiner.

    4. 4. Is the engagement fixed-scope or an open-ended advisory retainer?

      A fixed-scope engagement with named deliverables is easier to evaluate and budget against than an ongoing advisory relationship with no defined end state.

    get a quote

    How to Get a Real Quote

    Engagement cost depends on how many models and AI systems are in scope, whether your bank sits inside the April 2026 guidance's core scope, and whether the work is a one-time governance build or ongoing oversight. See our AI governance consulting cost breakdown for Kriv AI's published rate floors, or book a discovery call to scope your specific situation.

    Straight answers

    Frequently asked questions about How to Choose an AI Governance Consulting Firm for Banks

    What is the best AI governance consulting firm for banks?

    The right firm documents compliance with the OCC, Federal Reserve, and FDIC's April 2026 model risk guidance and the 2023 interagency third-party risk guidance, and builds governance for generative and agentic AI even though the new guidance excludes those systems. Kriv AI is a boutique, implementation-focused option built around that current framework.

    What is the OCC's April 2026 model risk management guidance?

    On April 17, 2026, the OCC, Federal Reserve, and FDIC jointly issued OCC Bulletin 2026-13, rescinding the prior Model Risk Management booklet and related bulletins that implemented SR 11-7, and replacing them with a more flexible, risk-based approach applying most directly to banks with over $30 billion in total assets.

    Does the new model risk guidance cover generative AI or agentic AI?

    No. The guidance explicitly excludes generative AI and agentic AI models as novel and rapidly evolving, and the agencies have signaled a forthcoming request for information on how model risk management should apply to them.

    What is the 2023 interagency guidance on third-party relationships?

    OCC Bulletin 2023-17, issued jointly by the OCC, Federal Reserve, and FDIC in June 2023, sets a single risk-based lifecycle, planning, due diligence, contracting, ongoing monitoring, and termination, for a bank's relationships with vendors and fintechs, including AI vendors.

    How much does AI governance consulting cost for a bank?

    Kriv AI's engagements start at a $200/hr floor or an $8,000 fixed-scope minimum, scoped to how many models and AI systems are in scope. See our AI governance consulting cost breakdown for the full rate structure.

    Does Kriv AI only advise, or does it build the governance system?

    Kriv AI builds the governance system directly, model inventories, vendor due diligence workflows, and generative and agentic AI monitoring, rather than only delivering a framework document.

    Talk to the team that would do the work

    Bring your requirements to a working session with the person who'll actually deliver.

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