How MAIF cut modeling time and built thousands of models with Akur8

For MAIF, the first major shift with the Akur8 rollout was bringing every step of the modeling workflow into a single tool, from data preparation to model building and geographical modeling. This replaced a fragmented setup and made the overall process more consistent and easier to manage.

Previously, MAIF had to switch between modeling and programming tools such as SAS or Python to prepare, adjust, or refine datasets. With Akur8, these changes can be made directly within the platform, making common tasks much quicker.

On the modeling side, Akur8 streamlined the workflow by automating the repetitive parts, while keeping actuarial expertise at the core. Our proprietary Transparent AI helped the MAIF team save substantial time by exploring thousands of variable combinations in parallel and identifying the most predictive features, while preserving transparency and keeping actuaries fully in control of final selections and judgment calls. This balance strengthened model performance without compromising interpretability, governance, or expert decision-making.

Implementing Akur8 also transformed collaboration. By consolidating work in one integrated platform with shared projects, MAIF’s pricing teams can work together more easily. Multiple users can contribute to the same model and share projects across the team.