
Why insurance tech implementations fail, and how to get them right with Tami Pantzke
About this episode
In this replay episode of Unstructured Unlocked, we revisit a practical, operations-first conversation with Tami Pantzke, a reinsurance executive with more than 30 years of experience guiding technology change inside large insurance organizations.
Tami breaks down how insurers should evaluate new technology through the lens that matters most, real operational impact. From cost-benefit analysis and the 80/20 rule to pilot design, risk controls, and change management, she shares hard-earned lessons on what separates successful implementations from costly failures. The discussion also explores why enthusiasm for new tools often outpaces adoption, how to spot red flags early, and how insurers can balance speed with governance in both large-scale transformations and smaller, AI-driven initiatives.
If you’re responsible for introducing new technology into underwriting, claims, or operations, and need it to actually stick, this replay offers a clear, experience-backed blueprint for making smarter decisions without disrupting the business.
Get every episode summarized
Each time Unstructured Unlocked by Indico Data publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Unstructured Unlocked by Indico Data

Andrew Holdway of Swiss Re on the operational impact of fixing insurance intake
Unstructured Unlocked by Indico Data

What smarter use of AI looks like in commercial insurance operations
Unstructured Unlocked by Indico Data

Joe Curry of Apollo 1971 on applying data science and AI inside insurance operat...
Unstructured Unlocked by Indico Data

The soft market squeeze: why M&A and AI need to deliver now
Unstructured Unlocked by Indico Data