--- title: Cost of an Effective Challenge Function for AI Models Under SR 11-7 description: Explore the costs and strategies for implementing an effective challenge function for AI models at community banks, ensuring compliance and risk management. image: https://blog.fivenines.com/hubfs/blog/taya-migration/10-ai-effective-challenge-cost-cro.docx.png --- [Skip to the main content.](https://blog.fivenines.com/cost-of-an-effective-challenge-function-for-ai-models-under-sr-11-7#main-content) 1-855-817-5959    [help@fivenines.com](mailto:help@fivenines.com) [![FN\_Reverse\_Logo](https://blog.fivenines.com/hs-fs/hubfs/FN_Reverse_Logo.png?width=3022&height=849&name=FN_Reverse_Logo.png "FN_Reverse_Logo")](https://fivenines.com/) [![FiveNinesPrimaryLogo](https://blog.fivenines.com/hs-fs/hubfs/FiveNinesPrimaryLogo.png?width=3022&height=849&name=FiveNinesPrimaryLogo.png "FiveNinesPrimaryLogo")](https://fivenines.com/) - [Solutions](https://fivenines.com/solutions/) - [Managed IT Services](https://fivenines.com/solutions/managed-it-services/) - [Cybersecurity Services](https://fivenines.com/solutions/cybersecurity/) - [Cloud & Productivity](https://fivenines.com/solutions/cloud-productivity/) - [Projects & Enhancements](https://fivenines.com/solutions/it-projects/) - [Placement Services](https://fivenines.com/solutions/onsite-it/) - Industries - [Finance & Banking](https://fivenines.com/industries/banking/) - [Healthcare](https://fivenines.com/industries/healthcare/) - [Legal](https://fivenines.com/industries/legal/) - [Nonprofit](https://fivenines.com/industries/non-profit/) - [Manufacturing & Logistics](https://fivenines.com/industries/manufacturing-logistics/) - [Small & Mid-Sized Businesses](https://fivenines.com/industries/smb/) - [Insights](https://fivenines.com/resources/) - [Resource Library](https://fivenines.com/resources/) - [Blog](https://blog.fivenines.com) - [About](https://fivenines.com/about/) - [About Five Nines](https://fivenines.com/about/) - [Leadership Team](https://fivenines.com/our-team/) - [Community Impact](https://fivenines.com/community/) - [Partnerships](https://fivenines.com/partnerships/) - [Careers](https://fivenines.com/careers/) - [Company News](https://fivenines.com/news/) Let's Talk Get Support Toggle Menu Toggle Menu Let's Talk Get Support - [Solutions](https://fivenines.com/solutions/) - [Managed IT Services](https://fivenines.com/solutions/managed-it-services/) - [Cybersecurity Services](https://fivenines.com/solutions/cybersecurity/) - [Cloud & Productivity](https://fivenines.com/solutions/cloud-productivity/) - [Projects & Enhancements](https://fivenines.com/solutions/it-projects/) - [Placement Services](https://fivenines.com/solutions/onsite-it/) - Industries - [Finance & Banking](https://fivenines.com/industries/banking/) - [Healthcare](https://fivenines.com/industries/healthcare/) - [Legal](https://fivenines.com/industries/legal/) - [Nonprofit](https://fivenines.com/industries/non-profit/) - [Manufacturing & Logistics](https://fivenines.com/industries/manufacturing-logistics/) - [Small & Mid-Sized Businesses](https://fivenines.com/industries/smb/) - [Insights](https://fivenines.com/resources/) - [Resource Library](https://fivenines.com/resources/) - [Blog](https://blog.fivenines.com) - [About](https://fivenines.com/about/) - [About Five Nines](https://fivenines.com/about/) - [Leadership Team](https://fivenines.com/our-team/) - [Community Impact](https://fivenines.com/community/) - [Partnerships](https://fivenines.com/partnerships/) - [Careers](https://fivenines.com/careers/) - [Company News](https://fivenines.com/news/) # Cost of an Effective Challenge Function for AI Models Under SR 11-7 [Five Nines Executive Team](https://blog.fivenines.com/author/five-nines-executive-team) : Nov 6, 2026, 6:00:00 AM 5 min read [Tech Operations Insights](https://blog.fivenines.com/topic/tech-operations-insights) ![Cost of an Effective Challenge Function for AI Models Under SR 11-7](https://blog.fivenines.com/hubfs/blog/taya-migration/10-ai-effective-challenge-cost-cro.docx.png) *TL;DR* - Effective challenge is the SR 11-7 element examiners most frequently cite as deficient. The cost of operating a credible effective challenge function for AI models at a community bank scales with the number of AI models, the complexity of the models, and whether the bank builds the capability internally, contracts it externally, or runs a hybrid. - For a community bank with two to four AI models in production, the annual cost of an effective challenge function lands in the low to mid five figures if engaged through a competent external partner, and in the low six figures if the bank builds and staffs an internal capability with an AI-competent senior reviewer. The hybrid model, where the bank's internal risk function oversees partner-supplied challenge work, often produces the best cost-quality balance at community bank scale. - The CRO question is not whether to operate effective challenge. SR 11-7 requires it. The question is which delivery model produces examination-defensible challenge work at sustainable cost given the bank's actual AI footprint. ## What Effective Challenge for AI Models Actually Costs at Community Bank Scale A community bank CRO sizing the effective challenge function for AI models faces a problem with limited published benchmarks. Effective challenge is a substantive expectation, not a line item. Banks rarely publish the cost of their challenge function. Vendors selling validation services sell to the validation use case, not the broader effective challenge work the framework expects. The framework's substance is what the CRO has to defend. SR 11-7 expects the challenge function to be independent of the model's developers and owners, competent in the relevant modeling area, and influential enough to actually require changes when the challenge identifies concerns. The cost question is how to deliver those three properties consistently at community bank scale. What follows is the plain-English version of what an effective challenge function for AI models costs at community bank scale, where the spending categories sit, and how to evaluate the delivery options.   ## What Effective Challenge Actually Covers Across the Model Lifecycle Effective challenge in SR 11-7 is broader than periodic model validation. It is the practice of pushing back on the model's owners across the lifecycle. At deployment, the challenge function reviews the model's design, training data, performance, and intended use, and decides whether to support deployment. The challenge here is forward-looking. It tests whether the bank should run this model. In production, the challenge function reviews the model's ongoing performance, drift, retraining decisions, and use boundary. The challenge here is monitoring-driven. It tests whether the bank should continue running the model as deployed. On change, the challenge function reviews material model changes (significant retraining, vendor updates, feature changes, data source changes) and decides whether to support continued use. The challenge here is gate-keeping. It tests whether the bank should accept the change. On exit, the challenge function reviews the bank's decision to discontinue or replace the model and ensures the transition manages residual risk. The challenge here is closure. Each of these touchpoints produces documentation the bank can show an examiner. The cost of the function is the cost of operating substantively at each touchpoint.   ## What Building an Internal Effective Challenge Function Costs Building an internal effective challenge function for AI at a community bank requires four investments. 1. Senior reviewer with AI/ML competence. This is the central role. The reviewer needs the technical depth to evaluate AI/ML models substantively, the seniority to push back on model owners, and the bandwidth to actually do the work. Fully loaded cost at community bank scale runs in the mid six figures for a dedicated hire. Banks that combine the role with broader risk responsibilities reduce the dedicated cost but must protect the reviewer's bandwidth. 2. Reviewer support. Statistical software, model monitoring infrastructure, document repositories, and reporting templates. At community bank scale this is modest, in the low five figures annually. 3. Documentation and review work. The reviewer's time produces the actual review documents. Volume scales with the number of models and the frequency of reviews. For a community bank with two to four AI models, the documentation work is feasible within a fraction of one full role. 4. Governance integration. The reviewer's output flows into the bank's model risk committee, audit committee, and primary regulator reporting. Integration cost is mainly the reviewer's time plus a fraction of the CRO's time. The all-in annual run-rate for an internal effective challenge function at community bank scale is in the low to mid six figures once fully staffed. The function takes three to six months to ramp from hire to first defensible review output.   ## What Partner-Supplied Effective Challenge Costs Engaging an external partner for effective challenge brings in documented AI/ML competence and substantive independence from the model's owners and from the bank's other AI engagements. The cost structure is different. Per-model fees. The external partner prices by model and by review depth. For a community bank with two to four AI models, annual challenge fees from a competent external partner run in the low to mid five figures total. Scope flexibility. The bank scopes the challenge work to the model's risk tier. A high-risk AI lending model receives full effective challenge engagement. A lower-risk informational model receives lighter review. The bank pays for what the model risk requires. Embedded competence. A competent external partner brings AI/ML depth across multiple specialists. The bank gets statistical, fairness, and AI-specific expertise without hiring all three internally. Documentation deliverables. The external partner produces review documentation in formats designed for examiner review. The bank consumes the deliverables and integrates them into its broader risk program. The all-in annual cost for partner-supplied effective challenge at community bank scale is in the low to mid five figures. No ramp. The challenge work can begin on engagement.   ## Why Most Community Banks Land on a Hybrid The most common pattern at community bank scale is a hybrid. The bank's internal risk function (the CRO directly, or a small team) owns the effective challenge program. The internal function manages the engagement, integrates with the broader risk program, and reports to the board. The external partner performs the substantive AI/ML challenge work on each model. This hybrid produces the SR 11-7 elements at sustainable cost: - Independence is satisfied by the external engagement. - Competence is brought in through the external partner. - Influence is exercised by the internal CRO using the external partner's findings as input. The hybrid also scales. A bank that grows its AI footprint can expand the external engagement. A bank that decides later to build internal capability can hire into the oversight role with the external partner continuing the heavier technical work. The all-in annual cost of the hybrid model is in the mid five figures to low six figures, depending on the depth of internal staffing and the breadth of external engagement.   ## What the CRO Controls in the Effective Challenge Cost Model The CRO controls four things in the effective challenge cost model. The first is the model inventory. Which models are in scope for effective challenge, what risk tier each carries, and what review frequency each requires. The inventory drives the work volume. The second is the delivery model. Internal, external, or hybrid. The CRO evaluates which model fits the bank's AI footprint, growth trajectory, and risk appetite. The third is the engagement quality. Whether internal or external, the work has to be substantive. The CRO sets the expectations for review depth and reviews the outputs personally. The fourth is the governance integration. The challenge function's outputs feed the audit committee, the board, and the regulator. The CRO ensures the integration produces evidence of executive engagement.   ## Why "Validation Covers Effective Challenge" Misreads SR 11-7 Somewhere in the budget conversation, the CRO will hear this argument. The bank's model validation contract covers effective challenge. Additional spending is duplicative. That is a false choice. Validation is one form of effective challenge but not the entirety of it. SR 11-7 distinguishes between formal validation (typically annual) and ongoing effective challenge (continuous). Banks that operate only annual validation have part of the function but not the whole. The right framing is not whether validation and effective challenge overlap. They do. It is whether the bank's program covers the full set of effective challenge touchpoints: deployment, production, change, and exit. The first framing produces a partial program. The second framing produces a complete one.   ## Three Things to Have Before the Model Risk Exam A community bank CRO should work through three things before the next exam cycle. The first is a current-state assessment of the effective challenge function against the three SR 11-7 properties (independence, competence, influence) and the four lifecycle touchpoints. The second is a sized proposal for the delivery model that fits the bank's AI footprint. The third is a calendar discipline for challenge work, documentation, and board reporting that produces the evidence examiners ask for. When this discipline is in place, the model risk conversation moves from "demonstrate your effective challenge function" to "review the function's most recent outputs," and the gap between those two postures is the gap between a finding and a routine confirmation.   ## Size the Effective Challenge Function to What SR 11-7 Actually Expects A community bank CRO sizing the effective challenge function is sizing the substantive practice SR 11-7 expects. The cost is moderate at community bank scale. The discipline is what makes the program credible to examiners and useful to the bank's risk management. If your bank has not assessed the effective challenge function against the AI footprint and the SR 11-7 framework in the last twelve months, that is the conversation worth having with your Tech-Operations partner before the next exam cycle. Five Nines Technology Group is a Tech-Operations partner for community banks and credit unions. Translating regulatory frameworks into operating discipline at community bank scale is where our team focuses. ## Frequently asked questions Can the chief credit officer or chief information officer perform effective challenge on the models their teams own? No, not for those models. SR 11-7's independence requirement excludes the model's owners. Banks where the CCO or CIO performs challenge on their own team's models produce findings. Is partner-supplied effective challenge less rigorous than internal? Not inherently. SR 11-7 evaluates the substance of the work. A competent external partner with documented independence often produces more rigorous challenge work than an internal generalist forced to cover a topic outside core competence. How does the effective challenge function differ from internal audit? Internal audit evaluates the program (does the bank have what it should have, operating as documented). Effective challenge evaluates the models themselves (do the models perform as expected, with appropriate risk management). The two functions are complementary. What is the cheapest defensible delivery model? For most community banks under $1B AUM with a small-to-moderate AI footprint, the hybrid model produces the best cost-quality balance. The bank's internal risk function owns the program; an external partner performs the substantive technical work. Does partner-supplied effective challenge survive examination? Yes, when the external partner has documented competence, the engagement is substantive, and the bank's internal function demonstrates ownership of the program. Examiners look at the work product, not at the org chart. How often should the effective challenge function review an AI model? At deployment, on a periodic cycle (typically annual for high-risk models), and at each material change. The frequency scales with the model's risk and its rate of change. What is the most common effective challenge finding? Documentation gaps. The challenge work happens but is not captured in evidence the examiner can review. The CRO can produce evidence of one or two reviews but not of a continuous program. ## Related Blog Posts ## Let's get in touch   [**(402) 817-2630**](tel:402-817-2630) [help@fivenines.com](mailto:help@fivenines.com) [Lincoln, NE](https://fivenines.com/contact/lincoln) [Omaha, NE](https://fivenines.com/contact/omaha) [Kearney, NE](https://fivenines.com/contact/kearney) [Central City, NE](https://fivenines.com/contact/central-city) [St. Louis, MO](https://fivenines.com/st-louis) ![cyberverify-1](https://blog.fivenines.com/hs-fs/hubfs/cyberverify-1.png?width=110&height=110&name=cyberverify-1.png)![aicpa](https://blog.fivenines.com/hs-fs/hubfs/aicpa.png?width=110&height=110&name=aicpa.png) ### Are we a good fit? 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