Resolve wins “End-User Computer Risk Management Solution of the Year”

We are thrilled to announce that Resolve has been awarded End-User Computer (EUC) Risk Management Solution of the Year at the InsuranceERM 2025 Awards.

Established in 2020, InsuranceERM’s annual awards celebrate the premier risk management and actuarial risk modelling solution providers.

As technological reliance and increasing complexity continue to pose a threat for financial services companies, this accolade underscores Resolve’s commitment to reducing operational risk with the IntegraLynx platform.

IntegraLynx is a configurable application development framework that allows financial services teams to eliminate processing bottlenecks associated with disparate legacy systems and unstructured data. The agile platform enhances scalability and productivity through automation, while ensuring compliance and reducing risk across critical processes like Solvency II regulatory reporting and IFRS 17 data preparation.

Commenting on the win of EUC Risk Management Solution of the Year, Resolve CEO Brian Walsh says:

“One of the biggest emerging risks in EUC for insurers at the moment is the uncontrolled use of Python and other scripting languages by actuaries and finance teams.

While Excel has long been seen as the primary EUC risk due to its lack of formal controls, Python introduces an even greater challenge if not properly governed.

Unlike spreadsheets, Python scripts can be significantly more complex, consume larger volumes of data, integrate tightly with other systems, and often lack visibility within IT governance frameworks.

IntegraLynx offers a superior alternative to Python and its predecessor Excel, with major insurers including Axa, Zurich, Prudential and Utmost adopting it as a safer, more resilient solution. We are thrilled to see this confidence in our platform reaffirmed by the InsuranceERM judging panel.”

Visit the InsuranceERM website to read more about the awards, or contact us today to learn how Resolve can help you increase efficiency and reduce risk by replacing Excel or Python based processes.