Capgemini Invent’s Post

✨ The era of Gen AI and Agentic AI is upon us. It is crucial that financial institutions harness the capabilities of both Gen AI and Agentic AI while ensuring robust governance and validation processes.    Model Risk Management (MRM) is the backbone of financial institutions, ensuring the integrity and reliability of AI models. Our latest paper, Model Risk Management - Scaling AI within Compliance Requirements, unveils essential steps for mastering the risk management of Gen AI solutions.    As Gen AI and Agentic AI revolutionize the financial sector, they introduce unprecedented complexity, opacity, and risk. The old ways of validation won't cut it anymore.    🔍 Key insights from the paper include:  • Aligning SR 11-7 requirements with the EU AI Act to make MRM Gen AI-ready.  • A MRM validation toolkit with techniques like hallucination detection, fairness audits, adversarial testing, and more.  • The importance of designing business lines to be validation-ready—not just performance-focused.  • Addressing governance challenges introduced by Agentic AI, including orchestration, oversight, and policy traceability. Business leaders must ensure their Gen AI solutions are built with MRM in mind. This means incorporating explainability, monitoring, and documentation by design. MRM teams must expand their playbook as Gen AI and Agentic AI demand new metrics, tools, and innovative thinking.    🔗 Learn more about Capgemini’s AI-powered solution by visiting our page and downloading the Model Risk Management PoV: https://bit.ly/4d5TzWh    #GenAI #AgenticAI #ModelRiskManagement #GetTheFutureYouWant    Charles Dally | Florent Palayret | Clément de Balby de Vernon | Nicolas Gaudilliere | Augustin Mony | Guillermo López Ruano | Hiloni Shah | Manish Chopra | Samar Pratt | Supriyo Guha | Mike Roe | Harinder Singh Sudan | Rim Bourakba | Vivek Desai | Florent MARTINEAU | Philippe Cordier | Victor Aubelle | Patrick Bucquet