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FlowMagic — The Visual AI Platform for Insurer Workflows

For any operational effort across large organizations, a significant amount of time and resources are spent manually inputting data into downstream systems. These processes more specifically affect insurance practices that are deeply reliant on back-office processes. The bulk of the insurance workforce is condensed into operations and support functions (e.g. policy issuance and servicing). Here, data is typically unstructured and locked away in heaps of paper-based documents, emails, scanned images, excel worksheets, pdf, and word reports.

Typically in insurance, at least 90% of unstructured documents are manually processed, while an ‘Insurance Policy Administration System’ is on average between 15–20 years old — forcing them at times to lag behind their financial services peers. 

To make the most out of the massive quanta of inbound data stored in siloed systems, firms have recently begun to take a serious look at streamlining data migration using AI-based tools. The burgeoning reality is that a tremendous amount of man-hours are wasted in repetitive tasks leading to increased processing times and slower through rates for insurance.

Proportion of Unstructured Data in P&C Insurance (%)

portion of Unstructured Data in P&C Insurance (%)


Source: SPS Data

AI Gets Holed Up In Silos
According to a recent IDG study titled the ‘Future of Work’, less than 50% of global enterprises have deployed intelligent automation technologies (such as AI, Cognitive Automation or RPA), while over two-thirds find greater difficulty in integrating these people, process and AI. Over fifty percent of enterprises identify siloed deployments and overwhelmed internal application development teams as long-term issues. This can create friction between teams operating in silos and those trying to derive insights from unstructured docs. Nearly a third of enterprises identified getting AI into production and live services as the single biggest challenge to overcome.

According to a McKinsey paper, intelligent process automation is at the core of next-generation operational business models.

The Need For Intelligent Document Processing

The Need For Intelligent Document Processing


Source: Imaginea

A New Platform

MantraLabs has launched a unique solution to address the insurer’s pain-point through an intelligent platform built especially for silos, The solution addresses several dependency issues and is built to scale, making it a vendor-neutral platform that doesn’t require deep coding skills. The christened solution is FlowMagic — a simple and easy to use visual AI platform for insurer workflows.

FlowMagic applies proprietary AI techniques, Machine Learning and NLP, to extract any target data from unstructured documents. At the recently convened 4th Annual Insurance India Summit and Awards 2019 held in Mumbai, Mantra Labs presented a live demonstration of FlowMagic’s unique capabilities. Mantra Labs CEO Parag Sharma took the opportunity while speaking in front of industry leaders and attendees, to showcase our true AI-first approach to solving insurance challenges. FlowMagic truly embodies the spirit of that approach in tackling the problems plaguing traditional insurers — such as reducing document delivery times to the back-office by 80%.

FLOWMAGIC DASHBOARD

Customizable Workflows
The platform is equipped with plug and play capability. Using quick drag and drop, one can create custom workflows to address the most pressing operational functions, such as insurance agent onboarding or verifying medical invoices. Mantra Labs has pre-built over 50 AI-powered apps for its users to take advantage of. The open platform also allows insurers to create their own apps that can be seamlessly integrated.

FLOW MAGIC’s IN-BUILT APPS

By leveraging machine learning, insurers can use FlowMagic to shift intensive operational functions into auto-pilot. The AI tool can automate the ‘classify, extract, and validate’ cycle for insurers and direct decision-ready insights straight to decision-makers.

Although declining, the Insurance field is still paper-intensive. Insurers are shifting towards AI-powered engines to replace unnecessary manned effort behind redundant operational tasks. These systems can bring about at least a 70% reduction in manual processing and 30% improvement in cost-efficiencies throughout the value chain. 

To know more about how FlowMagic is helping insurance leaders cognitively automate complex processes, reach out to us at hello@mantralabsglobal.com 

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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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