Are Outdated Methods Costing Insurers Millions? Let’s Fix It Together.
The insurance quoting process has at times relied on outdated pricing models and lacked real-time regulatory data—leading to costly inefficiencies and compliance risks. As insurers navigate complex multinational programs, transparency and automation are no longer optional. This post explores the challenges of premium quoting calculations across multiple territories and how the industry can move towards smarter, real-time solutions. Join the conversation and let’s build a more efficient future together.
INSURANCEPREMIUM QUOTING
G Ojeda Triulzi
2/28/20251 min read
Are Outdated Methods Costing Insurers Millions? Let’s Fix It Together.
For years, the insurance quoting process has at times relied on outdated pricing models and fragmented data—especially when converting Net to Gross premium and vice versa across multiple territories.
No real-time regulatory data for levies, taxes, and charges
Disjointed processes leading to costly fronting cost errors
Slow, manual calculations that take weeks instead of days
With multinational programs spanning 5+ territories, insurers and brokers face constant challenges in ensuring accuracy, transparency, and compliance. As regulations evolve, relying on spreadsheets and disconnected systems isn’t just inefficient—it’s a financial and regulatory risk.
I believe the future of insurance costing is real-time, data-driven, and fully transparent. We’re working with industry experts to explore how automation can:
Instantly apply real-time regulatory data to premium calculations
Streamline quoting across multiple territories with precision
Eliminate costing inconsistencies and reduce uncertainty
We’re speaking with industry experts, insurers, and brokers to shape the future of premium quoting. If pricing inefficiencies are a challenge for your organisation, let’s connect and discuss how we can improve the process together.
Contact me to share your thoughts. Let’s build a smarter, more transparent insurance industry together.