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A Sandbox Approach in Insurance

The insurance industry has reached an evolutionary crossroad. The fast-evolving world of InsurTech mandates that insurers become digitally agile. With Fintech solutions becoming more common, a responsive approach would enhance the ability of promising insurance innovations to develop and flourish.

There are various technologies stepping into the value chain to enhance and disrupt the way insurance businesses used to function earlier. The industry should consider testing their products in a controlled environment or a ‘Sandbox’. This approach can provide certain advantages such as allowing insurers to launch unconventional products on a pilot-basis before seeking necessary approval.

A sandbox approach in insurance can be used to carve out a safe and conducive space to experiment with innovative Insurtech solutions. It is a process of experimenting on a limited scale initially, where the consequences of failure can be contained before finally being adopted; consequently not allowing regulation in being a constricting force in their innovation journey.

Sandbox approach, a global affair:

Implementation of the sandbox to test customer’s interest is now a global call. It is being implemented in most region’s financial hubs including UAE, Australia, Canada, Hong Kong, Malaysia, Singapore, Switzerland, and the UK.

The FCA (Financial Conduct Authority) the UK, the British financial regulator was the first to launch the Fintech sandbox, back in 2016. The FCA reported 90% of firms that completed testing in the sandbox are continuing towards wider market launch.

Under the FCA Cohort System used in their Sandboxes, the focus of current testing includes; Blockchain-based payment services, Reg tech propositions, general insurance, AML controls, Biometric Digital ID and know your customer (KYC) verification.

One of the most surprising aspects is the growing number of countries that have proposed the sandbox approach to remain competitive with those already on board. These include countries such as Indonesia, Israel, Russia, Taiwan and the USA.

First launch in India:

“In the recent past, new Insurance companies and Insurance intermediaries have carried out technological innovations in their products and services,”

“The authority encourages companies to develop such new technologies to add value for customers, increase efficiency, and better manage risks.”

 S C Khunita, IRDAI chairperson, was quoted as saying by the Times of India.

NITI Aayog had organised a day-long Fintech Conclave on 25th March 2019, with the objective to shape India’s continued ascendancy in Fintech. It featured representatives from across the financial ecosystem. Mr Shaktikanta Das, RBI Governor; confirmed that the RBI will come out with the necessary regulations for the sandbox in the Fintech sector within two months to ensure regulatory compliance.

IndiaFirst Life insurance company was the first to launch an insurance plan under the sandbox approach; on 12th April 2017 and got approval for the launch on 27th November 2017. The plan was called “Insurance Khata”. It was directed towards those with seasonal incomes, mostly belonging to the underserved sections of Indian society. It lets buyers pool multiple single insurance plans into an account and allow payment of premiums as per the user’s convenience.

” Use a Sandbox approach to test customer’s interest ” was one of the key takeaways of The Indian Insurance Summit & Awards 2019.

sandbox approach in insurance infographic

Eligibility Criteria for Insurers or Insurance intermediaries to apply for Sandbox in India:

A 10-member committee comprising IRDAI officials and representatives of Insurance companies and the World Bank has been set up to regulate the sandbox process. The panel has been asked to dwell on the key regulatory issues Fintech poses across the insurance value chain.

Despite recent advances, insurance remains a tough industry for innovation. However, the fast-growing interest in “Insurtech” is reflected in its popularity as a google search term since 2016.

Insurance penetration in India is only 3.69% of GDP against a global average of 6.2%; the Sandbox Approach for testing the new products can help improve these numbers. The “Sandbox Approach” offers a plethora of opportunities for the Insurance Industry to set out on a journey and expand their reach into more ecosystems than ever before.

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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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