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How chatbots are changing the Insurance sector – Five examples

Insurance chatbots are the new buzzword ruling the insurance companies currently. The primary objective of a chatbot is to provide a faster and an efficient system for communication with the customers and streamline the tedious insurance tasks. The insurance sector is playing hard to automate their on-boarding, sales and training processes and make it available for the hand-held devices. But, the significant issues still lies with the sales force management where customers are a lot more aware, and the insurance products are more sophisticated and specific. A chatbot is the real game changer when it comes to salesforce management and revolutionizing the Insurance processes.

Here is a list of a few examples of how IT is transforming the insurance:

1. Virtual customer representative:

The typical scenario of the manual customer care system goes like putting the customer on hold with a constant background reminder that you need to wait for a few more minutes as our customer representative is on another call. It has always been a turn off for a customer because it is annoying, time-consuming and lacks efficiency. Insurance chatbots are here to put an end to these tiresome phone calls. Chatbot act as a virtual customer representative who is available at all the times. With the help of natural processing and artificial intelligence, they process the customer’s queries in just a few seconds with a personalized response. The total number of queries that can be handled by insurance chatbots is incomparable to the real customer care support.

2. Saving costs:

Business insider has predicted that implementation of insurance chatbots can save up to $12bn of labor costs.  Insurance firms often invest a massive amount of money in recruiting, training and mentoring a workforce to make it eligible for the insurance processes. Leveraging the benefits of AI, and natural language processing and developing the agent, and customer chatbots can help to save substantially on these costs.

3. Better understanding with the customers:

  When it comes to insurance then it is the most intimidating sector for the customers. 72% of the people are of the belief that they are not able to decipher the Insurance jargons used by insurance companies. It doesn’t give them a clear picture of what they are getting into when buying an insurance plan which makes them quite skeptical about investing in insurance. Chatbot is a great way to provide the straightforward answers to the customers and make them understand better.

4. Cut-down redundant processes:

The excessive paperwork involved with insurance lifecycle needs a dedicated workforce to manage it. Not just insurance agents but even the customers dread it. Chatbots together with AI make these processes much faster and easy that saves a lot of time. Though this is still in the nascent stages of development, it will be one of the key advantages of insurance chatbots in the future.

5. Providing customized solutions:

  Customers can get solutions tailored to their needs instantly through chatbot. They will need to provide information like their salary, savings, what are they looking for in the insurance plan, duration and an automated insurance solution based on those inputs is presented to them. Apart from that they can also set renewable insurance dates, access their documents online, set reminder with the help of Insurtech Chatbot implementation.

Though there has been a surge in the use of Chatbots for insurance, still it has a long way to go. InsureTech responsible for implementation of IT in insurance companies needs to come up with more effective solutions to make the customer engagement a lot more pleasant and user-friendly.

Start your chatbot journey with Mantra Labs today. Know more https://www.mantralabsglobal.com/

References:

https://www.streebo.com/blog/how-ai-powered-chatbots-changing-insurance-sector/

https://venturebeat.com/2018/06/19/why-insurance-companies-are-betting-big-on-ai-powered-chatbots/

https://www.streebo.com/blog/chatbot-insurance-industry-chatting-betting-high-on-smart-bots/

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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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