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Disruption Vs Innovation in Insurance

3 minutes, 11 seconds read

People concerned with insurance have been using the terms- ‘innovation’ and ‘disruption’ interchangeably, perhaps because both correspond to building something ‘new’. However, there is a fine line between the two. All disruptors are innovators whereas, not all innovators are disruptors. Let’s delve deep into the difference between disruption and innovation in insurance.

Who are the ‘Disruptors’ in Insurance?

Disruptors drastically alter prevalent businesses, services, or products. They tend to be more creative, useful, impactful, inexpensive, time-savvy, and most importantly – scalable. 

As an example, Lemonade took in $57 million in premium revenue from 4,25,000 customers in 2018. This four-year-old startup was able to sell premiums to millennials- 90% of whom were purchasing insurance for the first time.

Reason- instead of an all-encompassing insurance package, Lemonade is keen on distributing micro policies as low as $5, which the customer perceives as useful. They’ve simplified the claim settlement process and within 3 minutes, a customer can get his refund credited to his account. While Lemonade sells its insurance policies through chatbot Maya, chatbot Jim handles claim settlement. Such AI-powered bots can handle multiple customer requests just as human agents and are better in detecting fraud. 

The disruptors are prone to adapt to changing customer preferences, which the traditional insurers are reluctant to because of the fear of losing existing customers. Disruption in insurance can break the barrier of the lower market penetration rate.

What’s Innovation in Insurance? 

Innovation is independent of drastic changes in businesses. It focuses more on bringing positive business development by delivering convenience to the customer and improving operational efficiency.

Innovation is not always about introducing new technology. It is also about harnessing existing technologies to build innovative solutions. For instance, blockchain technology has been there for decades; but the insurance industry has recently utilized it for algorithmic trading, smart contracts, policy distribution, and claim settlements.

For example, AXA Fizzy provides paperless flight insurance based on blockchain technology. Every user interaction is recorded and executed in the ledgers- from buying a policy to claim settlement without any human intervention. 

Other examples of innovation in insurance include Robo-advice, NLP (Natural Language Processing) to understand customer queries, insurance for IoT devices, AI-powered underwriting, automating insurance workflows, and Machine Learning technologies.

Also, read – Innovative insurance products of 2109

However, according to McKinsey’s report on Digital insurance in 2018, most of the P&C, health, and life insurance innovations revolve around marketing and less towards product development and claims. This gives an idea of the scope of innovation in insurance.

Where insurtechs are focusing

What’s Next in Insurance: Disruption or Innovation?

The traditional insurance business is known to be resilient to technological advancements and innovations in terms of consumer-centric products. To stay relevant and competitive, insurers should shift focus from digitization to strategic disruption according to the changing market dynamics.

In fact, Insurers are willing to fund insurance startups to gain a first-mover advantage in terms of technology and innovations. These investments illustrate a clear goal of improving customer experiences and supporting their existing operations at the startups’ risk. 

For instance, “Axa provided seed funding for five European start-ups under a fund set up in France in 2013, before launching Axa Strategic Ventures in 2015. The €200 million ($223.47 million) venture capital fund has the mandate to invest in innovations in insurance..”. (OECD (2017), Technology and innovation in the insurance sector)

Innovation from Insurtechs has the potential to contribute to the insurance value chain; however, managing disruption is still quite a challenge. Disruption alters the business and behaviours in such a short span that most of the outcomes remain unanticipated. While innovation takes time to catch the stream, disruption can make or kill a business. The best is to blend incumbents’ years of experience with innovation from startups to bring an accountable disruption.

We’ve been solving critical front & back-office insurtech challenges through innovative technological solutions. Drop us a ‘hi’ at hello@mantralabsglobal.com to know more.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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