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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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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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