CoreAi offers end-to-end Model Risk Management (MRM) services designed to help financial institutions meet regulatory expectations outlined in SR 11-7 and OCC 2011-12. Our team provides comprehensive support across the entire model lifecycle—from development and validation to monitoring and governance. We specialize in validating traditional financial models as well as advanced AI/ML models, ensuring transparency, performance, and compliance. With deep domain expertise, we help clients establish robust MRM frameworks, document model assumptions, assess limitations, and implement effective controls to reduce risk and satisfy internal audit and regulatory requirements.
Model risk represents the potential for flawed models to lead to poor decisions, financial loss, or regulatory non-compliance. Without proper oversight, even well-designed models can drift or be misused. CoreAi helps organizations proactively identify, measure, and manage model risk—ensuring control across the model lifecycle and alignment with regulatory expectations like SR 11-7.
Validation is a cornerstone of Model Risk Management, providing independent assurance that models are conceptually sound, appropriately implemented, and performing as intended. CoreAi ensures rigorous, unbiased validation aligned with SR 11-7, helping organizations detect weaknesses early, reduce risk exposure, and meet regulatory expectations with confidence.
Sound model development is foundational to managing model risk effectively. Poor design or undocumented assumptions can lead to inaccurate outputs and regulatory scrutiny. CoreAi helps institutions establish disciplined development practices—ensuring transparency, reproducibility, and alignment with business objectives and regulatory standards from the start.
Governance is the backbone of effective Model Risk Management, ensuring models are used responsibly, monitored continuously, and aligned with regulatory expectations. CoreAi helps organizations establish governance structures that enforce accountability, define ownership, and maintain control over model development, validation, usage, and retirement—reducing risk and supporting compliance with frameworks like SR 11-7.
CoreAi offers a robust Model Risk Management (MRM) and validation framework designed to help financial institutions manage model risk across the entire lifecycle. Our framework includes independent validation, performance monitoring, governance oversight, and thorough documentation in line with regulatory standards such as SR 11-7 and OCC 2011-12. Whether for traditional financial models or advanced AI/ML models, CoreAi ensures transparency, accountability, and compliance at every stage.
CoreAi follows a structured, regulator-aligned MRM process that covers the full model lifecycle. We begin with a deep-dive into model documentation and data inputs, followed by independent validation that includes conceptual soundness, performance benchmarking, and sensitivity analysis. Our experts assess model assumptions, limitations, and governance controls while ensuring alignment with SR 11-7 and OCC 2011-12. Post-validation, we support ongoing monitoring, change management, and audit readiness to ensure continuous compliance and risk mitigation. Every step is tailored to fit your model type—be it traditional, statistical, or AI/ML-based.
CoreAi delivers clear, regulator-ready model validation reports that provide a thorough assessment of model design, assumptions, performance, and risk. Each report includes executive summaries, detailed validation findings, testing results, and remediation recommendations. Our documentation aligns with regulatory expectations under SR 11-7 and OCC 2011-12, ensuring transparency and audit readiness. We tailor reporting formats to suit internal governance needs while supporting clear communication with risk committees, auditors, and regulators
Copyright © 2025 Core AI Consulting - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.