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Why Should Businesses Migrate To Digital Claims Management Process?

The Insurance industry is experiencing tectonic shifts across consumer expectations and process digitalization.

As digital adoption increases for Indian customers, the expectations and corresponding digital experiences that companies need to cater to are also on the rise. The collaboration between insurers and insurtech is critical to bring in the next era of Indian Insurance, especially with the renewed emphasis of GOI and IRDAI towards increasing the number of insured in India. As per a recent BCG report, there has been a 7X growth in global funding for the insurtech industry over the last 5-6 years. Making it essential that collaboration between insurers and insurtechs continues seamlessly.

While companies have been introducing digital touchpoints across the customer lifecycle, a major chunk of focus remains on the pre-purchase and purchase stages of the journey. Amidst rising customer acquisition costs, companies must provide efficient solutions to enhance the experience in the claims and renewal stages of insurance. 

Understanding Insurance Claims Process

Claims processing involves the activities that an insurance company carries out to verify a claim request. During the process, an insurance agent, known as an adjuster, checks information accuracy and provides the claim amount. 

The claims process includes five important steps:

  • Insured informing the insurance company 
  • Initial claims investigation
  • Policy check
  • Claims calculation
  • Payment Terms and Settlement

Based on a survey conducted by SPS Global, 59% of policyholders were dissatisfied with their claims handling. Digital claims processing introduces digital touchpoints to improve the claims customer journey. And, making the process more time and cost-effective for insurers while boosting the overall customer experience. This is why businesses should migrate to digital claims management.

How would a company benefit from the Digital Claims Process?

  1. Faster Claims Processing – The traditional claims process has a long cycle and friction due to multiple physical and digital touchpoints. The verification process involves multiple teams which would be tough to coordinate in a manual setup. Digital channels make it easier to collaborate and settle claims faster.
  2. Reduced Duplication of Effort – Digital means help streamline the operations by leveraging a single unified portal for the teams involved in the process. Providing clear action items, timelines, and statuses for each stakeholder, the platform helps reduce business costs. 
  3. Improved Fraud Detection – AI-powered fraud detection systems help reduce the chances of fraud significantly. Companies such as TagX and DataTrade provide extensive data sets to help insurance companies develop and train their own algorithms and models. 
  4. Higher Customer Satisfaction – Amidst an unfortunate scenario, the insured would prefer minimal delays, simplified processes, and quick settlement. Digital claims processing not only helps speed up the process but also personalizes it for the user. Eventually, the service and support provided boost customer satisfaction and renewal rates. 

A digital future is imminent in every industry today. While the insurance sector remains relatively low in terms of digital maturity. Leaders and Early Adopters will continue to have an edge in attracting and retaining customers.

We’ve listed down potential use cases for the digital claims process which can help companies kick-start their digitalization journey as well. 

  1. Self-Service Insurance Portals – Modern customers require cohesive omnichannel support. Portals that allow users to file and track their claims as well as reach out for further assistance are preferred. A Gartner study observed that 85% of initial customer service interactions start with a well-suited self-service portal. And, technology disruptor, Whatfix claimed that 44% of insurance users would jump to another company if they can’t have control over their claims process. 

Indian Insurtech firm Go Digit allows its customers to file their health insurance claims through their website or mobile application. They provide assistance through videos, faqs, and call assistance to their users. 

Source: www.godigit.com

  1. Conversational Chatbots – The 24×7 available online assistant helps customers with queries and claims assistance without putting them in a long queue. Mostly embedded in a self-service customer portal or the insurance website, conversational tools use AI and Sentiment Analysis to answer customer queries in the most responsive way possible. 

Mantra Labs recently worked with Ageas Federal on a “Claims with Empathy” process to help reimagine messaging and nudges in case of an insurance claim. 

Our conversational tool Hitee offers insurance customer support in multiple local languages to ensure ease of access and understanding to its users. 

  1. Remote Claims Estimation – Leveraging mobile cameras to take a visual estimate of damage incurred on the insured object, assess the extent of damage remotely, and provide an estimate to the insured instantaneously. Helping lower the claim cycle and reduce cost per claim. 

InsurTech companies such as Lemonade and MUA Insurance offer telematics-based apps, which help users file claims through their app, get instant roadside assistance, and provide settlements faster with AI-driven algorithms. Altoros provides a Car Damage Recognition API that leverages computer vision to determine the extent of damage in case of an accident.

Conclusion

The digital transformation of a company’s claims function lies in the redesign of its customer claims journey – Where the changes are not piecemeal solutions or interactions, but a reimagining of how the end-to-end journey will be actionized, perceived, and experienced. As companies begin their journey toward digital claims processing, they need to understand and deliver the core value that users gain from digitalization. 

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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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