We have released the 2023 Q1 GI updates to the GI Reserving Interface and GI Libraries. We have added additional functionality to the new GI Reserving Interface application.Learn more
Etiqa and Heriot-Watt University Malaysia choose FIS Insurance Risk Suite to support Actuarial Science training in MalaysiaLearn more
FIS to equip top college in Mumbai to train India's next generation of ActuariesLearn more
Quality Assurance (formerly Prophet QA) is a test case management and quality assurance tool designed specifically for use with FIS Model Developer (formerly Prophet Professional) models.
The Process Orchestrator and Process Manager (formerly Prophet Control Centre) are highly configurable tools that support orchestration of Prophet components and end-to-end automation of business processes, respectively.The Process Orchestrator allows customers to define their own linear processes to execute Prophet components and some other actions such as copying files.
Assumptions Manager helps companies simplify and more effectively control the assumptions management process that feed critical values into the Insurance Risk Suite (formerly Prophet).
Data Conversion System Before any modelling process is run, the necessary data, in the form of tables or model point files, must be collected and formatted.
The Flexible Results API provides the ability to query results when using the Flexible Results module.
Experience and Rating Manager (formerly Glean)Self-Assessment regimes like Solvency II in Europe, and the US ORSA place a lot of emphasis on experience analysis as a tool to both generate and validate assumptions.
Insurance Risk Suite (formerly Prophet) incorporates a number of actuarial libraries which hold the variables, actuarial definitions and formulas which define the calculations you need to make.
Enterprise Manager (formerly Prophet Enterprise) is the next-generation Risk Management Platform for insurers, combining advanced actuarial modelling with a powerful production platform.Volatile financial markets and changes to solvency regulations are driving the need within insurance companies for robust Enterprise Risk Management (ERM) systems. Increasingly more complex actuarial modelling techniques are at the forefront of the response.