Compare Crowe Model Risk Manager vs. PwC Model Edge

Your program is just one vulnerability away from overlooking significant risks. As financial institutions increasingly integrate complex calculations, holistic business models, and designated model owners, risk models are evolving in sophistication. Hidden dangers may lurk within the gaps between different models. However, organizations need not endure the fragmentation of their programs. The Crowe Model Risk Manager offers a software solution that seamlessly integrates model risk management throughout the entire process. This centralized platform, equipped with real-time visualizations, simplifies the management of workflows, allows for effective issue tracking, report generation, and compliance demonstration. Financial institutions can transition beyond traditional spreadsheets and emails to achieve a unified and thorough perspective. With our innovative software, understanding all facets of your model risk management becomes straightforward and accessible. Model owners can easily identify their responsibilities, along with defined next steps and continuous activity oversight. Furthermore, banks can implement automated workflows and actions, enhancing efficiency and ensuring the program remains on track. This holistic approach empowers organizations to proactively address risks, ultimately leading to more robust risk management strategies.

Model Edge supports the comprehensive lifecycle of models by simplifying the management, development, validation, and governance of your entire portfolio, including AI, all from a single platform. By streamlining operations, Model Edge enhances your confidence in the program through essential tools that demonstrate model effectiveness and explainability to both internal and external stakeholders. The platform features robust model recording and documentation capabilities within a unified environment. Additionally, it offers a complete inventory of models along with an audit trail that monitors historical and real-time modifications and updates. Utilize a centralized cloud-based environment to oversee every phase of a model’s lifecycle, from its initial conception to full implementation. You can effectively manage your workflows for model development and validation while also monitoring progress across various programs, ensuring that each step is tracked and optimized. This comprehensive approach not only fosters better collaboration but also enhances accountability throughout the model management process.