Nick Jorgenson

I watched a claim drag on for eight months when it should have settled in weeks. The property owner had photos. The contractor had photos. The adjuster had photos. Everyone had timestamps, measurements, and detailed notes. They still ended up in mediation. The problem wasn't missing information. The

Industry research confirms what carriers already know. Adjuster burnout costs between $4,000 and $21,000 per employee per year. For a company with 1,000 employees, that's $5 million annually vanishing into turnover and lost productivity. The average claims adjuster stays at their job for 1-2 years.

I spent 15 years in insurance agencies and catastrophe claims. When I heard Matt Fitzpatrick, CEO of Invisible Technologies [Moonshots Podcast], explain that AI is only as reliable as the data it's trained on, one scenario immediately came to mind. An underwriter staring at 100 properties from a

For a decade, the drone industry has been waiting for one thing: Beyond Visual Line of Sight regulatory clarity. In February 2026, that wait ends. The FAA is finalizing the BVLOS rule: the last major regulatory barrier preventing drone-in-a-box systems from scaling as permanent infrastructure. After that date, deploying networked

73% of enterprise data leaders identify "data quality and completeness" as the primary barrier to AI success Ranking it above algorithms, computing costs, and talent shortages. — Capital One/Forrester Research, 2024 Over 60% of AI projects fail. Not because of bad algorithms. Because of bad data. While insurance

In January 2024, a finance worker at a multinational firm joined what appeared to be a routine video call with colleagues. He transferred $25.5 million based on instructions from his CFO and team members on that call. Every person on the screen was fake. AI-generated deepfakes, every single one.

Trust is the new currency. The question is whether you're building it into your operations or continuing to pay the invisible tax of ambiguity.