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AI Governance Services for Financial Institutions
AI Governance Framework Design
We help institutions establish or strengthen the structure of their AI governance programs. This includes defining accountability, developing policies, creating an AI inventory and risk-classification process, and establishing clear approval and reporting requirements. The result is a framework that the institution’s management and board can understand, apply, and maintain.
AI Risk and Compliance Assessments
CrossCheck evaluates existing AI programs and individual use cases to identify gaps in governance, documentation, controls, and regulatory compliance. Our assessments focus on the risks that matter most to the institution and provide practical, prioritized recommendations for improvement.
AI in Lending and Credit Decisions
AI and advanced analytics are increasingly used in underwriting, pricing, and other credit decisions. CrossCheck helps lenders assess whether these tools are appropriately governed, explainable, and tested for unintended disparities. Our review can address controls from model approval and validation through adverse action reasons and ongoing performance monitoring.
Independent Testing and AI Model Oversight
For higher-risk applications, we provide independent review and testing of AI model output, consumer outcomes, explainability, and ongoing monitoring. We can also assess whether existing model risk management practices are appropriately applied to AI-enabled decisioning and whether management has reliable information to challenge results and respond to change. Explore Service
Third-Party AI Oversight
Many institutions use AI through vendors, but accountability remains with the institution. CrossCheck helps evaluate vendor governance, available documentation, contractual protections, and monitoring practices so that third-party AI risk is addressed as part of the institution’s broader risk management program.
AI Implementation and Ongoing Support
AI governance should continue throughout the lifecycle of a system, not end when a tool is approved or deployed. Good governance must work in practice. We help institutions translate their framework into usable review processes, reporting, training, and monitoring. Support can range from a focused project to ongoing advisory assistance as technology, business priorities, and regulatory expectations evolve.
Why AI Governance Matters
AI is already part of many business processes, including lending, customer service, fraud detection, marketing, and internal operations. Institutions must be able to explain where AI is used, evaluate the risks it creates, and demonstrate that appropriate oversight remains in place. A well-designed governance program provides that foundation without unnecessarily slowing responsible innovation.
Why CrossCheck
AI governance in financial services requires more than technology expertise. It also requires a clear understanding of how AI intersects with consumer protection, fair lending, model risk, vendor management, internal controls, and regulatory expectations. CrossCheck brings those disciplines together in one coordinated approach.
- Financial services expertise grounded in real regulatory and operational experience
- Independent assessments that focus on material risk and actionable improvement
- Scalable solutions suited to the institution’s business model and level of AI use
- Practical support from program design through testing and ongoing oversight
Meet your AI Governance Team
