Episode Description
In Episode 316 of the FNO: InsureTech Podcast, Dani Katz, Co-Founder and Director of Optalitix, joins David Prejeant for a discussion on one of insurance's most persistent technology challenges: spreadsheets. From underwriting and pricing to APIs, AI, reinsurance, and MGAs, Dani explains why so much of the industry's intellectual property is still trapped in Excel and what insurers can do about it.
Dani shares the story behind Optalitix, how the company discovered the "spreadsheet problem," and why digitization remains the critical first step before insurers can fully capitalize on AI. The conversation also explores the soft reinsurance market, MGA growth, and how modern underwriting organizations can improve governance, scalability, and decision making without rebuilding everything from scratch.
Key Highlights [03:00] The Story Behind the Optalitix Name
Dani explains how the company name originated from combining "optimization" and "analytics" and how that mission continues to guide the business today.
[04:00] Discovering the Spreadsheet Problem
While building software for insurers, Dani and his team uncovered a common challenge: critical underwriting and pricing knowledge trapped inside thousands of spreadsheets.
[05:30] From Consulting Firm to SaaS Company
Dani reflects on the moment Optalitix realized this wasn't just a services problem but a scalable product opportunity.
[07:30] Learning Insurance Through Technology
A discussion on the company's early days, cloud adoption in insurance, and how industry knowledge became one of Optalitix's biggest advantages.
[09:15] Why 87% of Underwriters Still Use Excel
David and Dani explore why spreadsheets remain deeply embedded in underwriting workflows and whether that represents a problem or an opportunity.
[12:00] Turning Spreadsheets Into APIs
Dani explains how Optalitix converts Excel models into scalable APIs and why that transformation unlocks governance, connectivity, and growth.
[13:00] Understanding Optalitix Models and Quote
A look at the company's two core products and how they help insurers modernize pricing without sacrificing existing underwriting expertise.
[15:30] Digitize First. Then Add AI
Why successful AI adoption starts with modernizing legacy workflows and making pricing data accessible through connected systems.
[17:45] The Most Unusual Underwriting Workflow
Dani shares a surprising client story involving an underwriting operation that operated without traditional pricing models.
[18:45] Reinsurance Market Explained
A practical walkthrough of what a soft market actually means and the forces currently shaping reinsurance pricing and capacity.
[22:00] Why Pricing Matters More in a Soft Market
As reinsurance capacity grows and rates decline, insurers need better visibility into risk accumulation and underwriting performance.
[24:00] Managing Risk Appetite in Real Time
How digitized pricing systems allow insurers and reinsurers to adjust strategies dynamically as portfolios evolve.
[25:20] Why 2026 Is the Year of the MGA
Dani explains why MGAs are thriving, how soft markets create growth opportunities, and why entrepreneurial insurance businesses are gaining momentum.
A discussion on how AI, entrepreneurship, and technology are creating new reasons for young professionals to consider careers in insurance.
[32:00] One Thing Every Underwriter Should Do Today
Dani shares a simple challenge: imagine what would happen if your most valuable spreadsheet became an API.
[33:15] Crossing Into Claims
Dani discusses how pricing and claims data intersect and where Optalitix already supports claims related workflows.
[35:00] AI's Future in Underwriting
Looking ahead six months, Dani shares why AI will increasingly become embedded within underwriting and pricing systems without replacing underwriters themselves.
[36:00] Final Thoughts
David closes the episode with a simple takeaway: before AI can transform insurance, the industry must first digitize the valuable data already sitting inside spreadsheets.
