The Insurtech Cookbook: Recipe #1

Insurance Built for the Appetites of Today’s Insured.

By Michael Schwabrow

TL;DR
Extreme weather events are no longer rare; they are recurring stress tests that expose how outdated insurance systems and claims processes break under pressure. The Insurtech Cookbook is a practical, recipe-driven series written for claims leaders, operations executives, and insurance technology teams responsible for making the organization perform when conditions are anything but normal. This first recipe focuses on claims triage, because when storms hit, claims is where speed, accuracy, and trust matter most.

Last week, as powerful winter storms gripped large parts of the U.S., millions of people were doing the same quiet, practical things: staying indoors, keeping faucets dripping, checking the thermostat, charging phones, and hoping the power stays on long enough for the cold to break.

For policyholders, the goal is straightforward: stay warm, stay safe, and recover quickly in the event of an issue.

For insurers, this is when the real heat begins.

While temperatures outside plunge, claims activity spikes fast. Pipes burst. Roofs collapse under ice. Cars slide into guardrails and into each other. Within hours, claims volumes surge, information floods in unevenly, and decisions that normally unfold at a measured pace suddenly must be made in real time.

This is the environment modern insurers are now operating in – one where extreme weather events are no longer rare spikes, but recurring stress tests.

And it’s in these moments that outdated systems and processes, along with disjointed insurance data streams are exposed most clearly.

Many claims organizations are still built around workflows designed for a slower, more predictable world. Systems assume clean data, manageable volume, and time for manual review. Triage often happens late, after adjusters are already overloaded. Rules are static. Escalation depends on human intervention too early in the process.

In high-heat claims environments, like last week’s winter storms, those assumptions collapse.

The problem isn’t a lack of commitment or expertise. Teams work incredibly hard. But effort alone can’t compensate for processes that treat every claim similarly at intake, or systems that can’t surface severity until after damage has already compounded.

Operationally, the symptoms are familiar:
• Low-complexity claims clog the pipeline
• High-severity losses wait too long for attention
• Adjuster capacity is misallocated
• Early reserve signals are missed
• Customer frustration rises precisely when empathy matters most

Everyone feels the pressure, and yet the organization struggles to move faster where it counts.

The Insurtech Cookbook was created to address this gap and other gaps in how insurers are relying on legacy technology and business processes directly.

This series gives insurers a clear, engaging way to acknowledge an uncomfortable truth: many of today’s systems and workflows were not designed for the speed, volatility, and frequency of modern risk. More importantly, it shows clearly, and without hype – how modern analytics changes that equation.

Each post in the series is written as a recipe, translating complex analytics concepts into something operational leaders can recognize and apply:

• The problem as it appears in day-to-day operations
• Why traditional systems break down under pressure
• The analytics logic modern insurers use instead
• The ingredients—data, signals, and models—that power it
• The method for deploying it alongside existing core systems
• The outcomes when decisions happen earlier and with discipline

These recipes are intentionally practical. They are designed to equip insurance leaders with frameworks that feel solvable and demonstrate how analytics works at enterprise scale – not in theory, but in production.

Over time, these posts will be compiled into a physical Insurtech Cookbook—a high-value asset in the fall tradeshow season.

And there is no better place to begin than claims.

When a winter storm hits, claims becomes the front line. It’s where customers feel delay immediately, where costs escalate fastest, and where outdated systems feel the most strain. It’s also where modern analytics delivers the quickest, most visible wins—if applied with discipline.

So, the first recipe is intentionally high-pressure.

High-Heat Claims Cutlets – Fast, Disciplined Claims Triage When the Weather Turns Extreme

Why This Recipe Exists

When catastrophe strikes – whether winter storms, floods, wildfires, or heat waves, claims organizations are asked to move faster than ever with incomplete information and limited capacity.

High-heat claims environments do not fail because people aren’t trying hard enough. They fail because systems and processes were never designed for surge, volatility, and speed at the same time.

The Dish

High-Heat Claims Cutlets is a structured approach to claims triage that allows insurers to move fast during catastrophe events—without overwhelming adjusters, missing severity, or burning trust.

The Problem

During catastrophe events, claims organizations face sudden spikes in volume, inconsistent intake data, limited experienced adjuster capacity, and intense pressure to act immediately.

Traditional workflows treat too many claims the same at intake. Human review happens too early. Severity is recognized too late. Backlog, leakage, and customer frustration become unavoidable.

Why Traditional Claims Processes Fail Under High Heat

Legacy claims systems were built for moderation, not surge. Static rules, manual sorting, and linear workflows break down when thousands of claims arrive at once.

Recipe Logic

Great cutlets are prepared in stages so that once the oil is hot, execution is fast and controlled. Modern claims triage works the same way: prepare early, layer signals, route decisively, and protect capacity by design.

Ingredients (What you need before the storm hits):

• Structured and unstructured FNOL intake
• Weather and location severity data
• Policy and exposure context
• Historical claims patterns
• Analytics models to score complexity and urgency
• Rules and thresholds tuned for catastrophe conditions
• Straight-through processing paths
• Clear escalation paths for true exceptions

Method

Step 1: Prep Before the Heat Is On
Claims are enriched immediately at intake. Data is normalized, scored, and contextualized before any human review.

Step 2: Season Aggressively—but Intentionally
Severity comes from layering signals until the signal is strong enough to trust.

Step 3: Coat Every Claim Consistently
Every claim passes through the same analytics-driven triage layer.

Step 4: Apply Heat in Controlled Batches
Low-risk claims flow straight through. Complex claims are isolated early.

Step 5: Don’t Touch It Too Soon
Once routed correctly, let the process work.

The Outcome

Claims move faster where speed matters. Severity surfaces earlier. Adjuster capacity is protected. Customers experience clarity instead of confusion.

And now for the real recipe…

High-Heat Chicken Cutlets (Kitchen Edition)

Ingredients:

Two pounds of chicken breast
Panko crumbs
All-purpose flour

Three eggs
Chili oil
Canola oil

Spices:
Cumin (generous)
Paprika (generous)
Black pepper
Red pepper flakes
One teaspoon of salt
One teaspoon of sugar

Prep:

Mix flour and spices in a large plastic bag. Shake well and smell—if strong, it’s ready.
Slice chicken breasts in half lengthwise and pound thin.
Beat eggs and add chili oil.

Coating

Shake chicken in flour mixture.
Dip each piece in the chili oil egg wash.
Press each piece firmly into panko.

Cooking

Heat canola oil over medium to medium-high heat.
Cook 3–4 cutlets at a time.
Fry until golden, flipping once.