The Earnix Blog: Resources for Insurance and Banking Leaders
August 25, 2026
By Earnix Team
Powerful models alone do not guarantee better insurance decisions. Discover how AIOS connects AI, business rules, workflows, and human expertise to help insurers turn insights into governed, explainable, and measurable actions at scale.
August 2, 2026
By Earnix Team
For decades, insurance has been built on a relatively simple promise: understanding the past to anticipate the future. Today, however, emerging risks continue to evolve, and the industry's greatest challenge may no longer be improving prediction alone.
July 23, 2026
By Earnix Team
For the first time, at Paris Eˣcelerate 2026, Earnix brought together insurance executives, technology leaders, and industry experts for a dedicated Eˣcelerate event designed specifically for the French market. Delivered entirely in French, the event created a forum for insurers to exchange ideas, share experiences, and explore how they're modernizing decision making across pricing, underwriting, customer engagement, and the broader insurance lifecycle.
July 21, 2026
By Andy How
Agility has always been part of the MGA business model. But as the market grows and the pricing cycle develops, sustaining that advantage is becoming harder. Underwriters face more data than ever, risks are evolving faster, capacity providers demand greater transparency, and regulatory expectations continue to rise. At the same time, customers and brokers expect quicker, better-informed decisions.
July 14, 2026
By Andy How & Peter Bammodu
There was an unmistakable energy around this year's MGAA Annual Conference. This year’s MGAA Annual Conference had a clear sense of momentum. The exhibition hall remained busy throughout the day, conversations continued between sessions, and unsurprisingly, one topic consistently surfaced across the market: artificial intelligence.
July 8, 2026
By Earnix Team
Discover how insurers can transform product documentation into structured, AI-powered intelligence that enables personalized recommendations, helps advisors answer product questions with confidence, and delivers more relevant customer engagement at scale.