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Is Insurance Moving Up the Customer Experience Value Chain

4 minutes, 36 seconds read

The insurance industry has been thriving to establish a strong connection with customers. The challenge is, however, intense with digital disruption and new avenues for customer risks. Insurance companies are catching the pace of the technological revolution and harnessing technology to bring more relevant products to the customers. While ‘customer satisfaction’ lies at the centre of businesses today, is insurance moving up the customer experience value chain? Let’s see.

Insurance Now and a Decade Ago

Traditionally, a customer would call the insurance company during instances of claims. The customer would hear from the company only when the policy renewal time is approaching. This indicates the need for an ice-breaker in the insurance-customer relationship.

A decade ago, insurers intended to harmonize customer interactions — the touchpoints. Normally, any insurance company can have 4-7 customer touchpoints. Even though individual touchpoints are performing, the overall experience for a customer might not be satisfactory.

Is Insurance Moving Up the Customer Experience Value Chain Satisfaction-touchpoints-X-customer-journey

Customer satisfaction depends on five factors: interaction; price; policy offerings; billing & payment; and claims. However, to train the entire organization to see the interactions with customers’ eyes is still a challenge. It’s not possible to revamp the entire system overnight, but identifying the pain-points and acting upon them can surely move insurers up the ‘experience’ value chain.

For instance, the year 2014-15 witnessed one of the hefty market slowdowns in the automobile sector. Despite this, the millennials expressed an increase in satisfaction for their car-insurance services. The main reason for the increased satisfaction in the customer experience value chain was measurably improved interactions. 

Resource: “Improved Interactions Drive Gen Y Increase in Auto Insurance Satisfaction.”

Addressing the fact that more touchpoints lead to more operational challenges and time to deliver results; insurers prototyped single-point-of-contact models during 2015-16. Here, a personalized agent would take care of the customer interactions. The results were profound, and this step is a milestone in defining the customer journey as a whole. McKinsey’s research finds that customer journeys are more strongly correlated with business outcomes than touchpoints.

Also read: Customer Journey is the New Product!

Today, organizations are leveraging technologies to speed-up processes like policy distribution, underwriting, and claim settlements. For instance, USAA (The United Services Automobile Association) is developing machine learning models to instantly predict vehicle damage from digital images and offer claim estimates.

Recent Developments in Insurance

According to Accenture, 76% of customers would switch providers for more personalized service and tailored product offerings. Insurers are, therefore, not only concerned about “what my customers want,” but also – “how my customers want.” 

Organizations are using technology to provide tailored solutions to customers specific to their requirements. Artificial intelligence (AI), Machine Learning (ML), IoT, Blockchain, and Data analytics are strengthening the insurtech sector. 

Carriers are using AI and ML to improve underwriting for mitigating risks. For example, Cape Analytics uses AI and geospatial imagery to provide instant property intelligence. Insurers can, therefore, accurately assess a property’s risk and value.

As mentioned before, claim settlement is one of the five major factors influencing customer satisfaction in insurance. Insurers are leveraging AI and cloud technology to settle claims in minutes or even less. For example, ICICI Lombard uses Cognitive Computing, Intelligent Character Recognition (ICR), and Optical Character Recognition (OCR) to automate the claim settlement process. Similarly for health insurance, ICICI Lombard is covering medical procedures like Cataract, Maternity, Appendicitis, Hemodialysis, and Hysterectomy for app-based claim settlement.

Also read – how AI can settle claims in 5 minutes!

Insurance companies are also automating workflows inline with their existing processes. It is helping insurers to bridge the technology gap between Gen X, Millennials, and Gen Z customers. Efficient insurance workflow automation solutions are trained to decipher industry-specific jargon and at the same time, interact with the user using NLP (Natural Language Processing) techniques.

Another remarkable advancement in insurance CRM is the adoption of chatbots. It is a viable solution to serve multiple customers concurrently. For example, Religare, a leading insurer was able to increase customer interactions by 10x through chatbots.

Religare Chatbot

The present time also sees customers’ growing intent towards micro policies, which serve a single purpose instead of an all-encompassing insurance scheme. Technology is also helping to distribute micro policies in scale with almost zero upfront costs. For example, Gramcover, an Indian microinsurance startup uses direct-document uploading and processing for distributing policies in rural areas.

What Customers Say?

The World InsurTech Report 2019 indicates that less than 25% of business customers and 15% retail policyholders believe they’re covered against all emerging risks. However, 28% of individual customers are amenable to share additional data for more comprehensive services. Also, 15% of customers are willing to pay an additional fee for relevant services

The takeaway —  ‘relevance’ is the key to today’s customers. Insurance companies can leverage this opportunity to provide products related to emerging threats like identity theft, privacy invasion, misuse of personal information, and attacks from ransomware. 

In 2018, about 30% of customers selected their insurer in a single day, according to a survey from the Insurance Information Institute. Through creating exceptional customer experiences, insurers can set themselves apart from their competitors. And the answer to ‘how’ to create this exceptional experience lies in focusing on the journey more than the customer touchpoints.

The customer interaction preferences will keep on changing. Today, millennials prefer to interact with insurers via digital self-service. Tomorrow, Gen Z might want complete automation, i.e. no interaction at all. How fast the insurance industry adapts to the changing preferences will determine the level of satisfaction in the customer experience value chain.

We provide insurtech solutions for business-specific challenges. Feel free to drop us a line at hello@mantralabsglobal.com, illustrating your requirements.

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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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