Monitaur customers understand the value and impact that all modeling systems and types have on their business.
Model systems in insurance are prevalent, but with increasing and competing demand among data products, industry regulations, and compliances, you need automated help to provide evidence of governance for your AI models.Speed and efficiency matter when your product and customers are at stake. See how CAPE Analytics goes beyond good intentions for governance with Monitaur.
By implementing a consistent and coherent approach to governance, Nayya continuously assesses and mitigates model risk across our products. The impact of following responsible AI practices also extends across internal teams, improving process efficiencies.
"Where AI governance frameworks are implemented, AI governance has resulted in more successful AI initiatives, improved customer experience and increased revenue"
Our customers set high standards for accelerating and improving their AI governance programs. They have seen a boost in efficiency, alignment on reviews, and enhanced risk and compliance capabilities for their modeling outcomes.
“Monitaur's software and expertise is foundational to Nayya's AI Governance approach — directly enabling greater transparency, improving processes, and increasing trust internally and amongst our customers.”
"Using Monitaur Govern has created broader transparency within our larger data science community. Through the implementation process we have developed a broad understanding of model performance, including value and business impact company-wide."
“Monitaur’s control library and understanding of common control frameworks not only saved us months initially but have provided an agility to continually adjust and improve our process over time.”
“Monitaur's software and expertise is foundational to Nayya's AI Governance approach — directly enabling greater transparency, improving processes, and increasing trust internally and amongst our customers.”
"Using Monitaur Govern has created broader transparency within our larger data science community. Through the implementation process we have developed a broad understanding of model performance, including value and business impact company-wide."
“Monitaur’s control library and understanding of common control frameworks not only saved us months initially but have provided an agility to continually adjust and improve our process over time.”