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OIP’s long-term care planning framework is a simple four-step process: Educate → Discover → Present Solutions → Execute. Scott and Bill emphasize that LTC (or “elder care/aging with dignity”) planning works best when it starts early and stays plan-first, not product-first—otherwise the conversation turns into a transaction. They also stress that “self-insuring” is still a plan, but many clients underestimate the non-financial consequences (family burden, caregiver strain, and messy dynamics) that show up when there’s no proactive strategy.
Evan explains how Waterlily makes these conversations easier and more personalized: a short client intake generates an individualized care timeline (likelihood, timing, duration, care hours, and zip-code-based costs) and helps clients visualize tradeoffs like family caregiving vs. paid professional care. The platform can also model funding approaches by importing policy PDFs (or illustrations) to simulate how benefits would actually pay during a client’s predicted claim scenario, and it supports quoting/application workflows to reduce friction and improve execution.
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This is the Optimized Advisor Podcast, where we focus on optimizing the wellbeing and best practices of insurance and financial professionals. Our objective is to help you optimize your life, optimize your profession, and learn from other optimized advisors. If you have questions or would like to be a featured guest, email us at [email protected]
Optimized Insurance Planning
By Scott Heinila4.9
1717 ratings
OIP’s long-term care planning framework is a simple four-step process: Educate → Discover → Present Solutions → Execute. Scott and Bill emphasize that LTC (or “elder care/aging with dignity”) planning works best when it starts early and stays plan-first, not product-first—otherwise the conversation turns into a transaction. They also stress that “self-insuring” is still a plan, but many clients underestimate the non-financial consequences (family burden, caregiver strain, and messy dynamics) that show up when there’s no proactive strategy.
Evan explains how Waterlily makes these conversations easier and more personalized: a short client intake generates an individualized care timeline (likelihood, timing, duration, care hours, and zip-code-based costs) and helps clients visualize tradeoffs like family caregiving vs. paid professional care. The platform can also model funding approaches by importing policy PDFs (or illustrations) to simulate how benefits would actually pay during a client’s predicted claim scenario, and it supports quoting/application workflows to reduce friction and improve execution.
**
This is the Optimized Advisor Podcast, where we focus on optimizing the wellbeing and best practices of insurance and financial professionals. Our objective is to help you optimize your life, optimize your profession, and learn from other optimized advisors. If you have questions or would like to be a featured guest, email us at [email protected]
Optimized Insurance Planning