How InsurTech-Insurance Partnership Delivers New Product Innovations

4 minutes, 27 seconds read

Published on Feb 13, 2020

Updated on May 11, 2020

In 2019, InsurTech funding reached $6 billion, acknowledging the pace that technology can bring to overcome the age-old Insurance problems, the State of AI in Insurance 2020 says. While Incumbents are known for their core competencies in end-to-end insurance processes (from underwriting to claims settlement and reinsurance), InsurTechs are enticing millennials with fully digital innovative products and solutions.

The current situation can be viewed as either growing competition for traditional Insurers or an opportunity to collaborate and procure maximum benefits from each other’s competencies.

The World InsurTech Report 2019 states that nearly 90% of InsurTechs and 70% of Insurers are interested in collaboration with other InsurTechs and Insurance firms.

[Quick read: 10 Key Takeaways from the World InsurTech Report 2019]

In this article, we will discuss how InsurTech and Insurance partnership is proving beneficial for the entire ecosystem along with some successful partnership stories.

InsurTech and Insurance Partnership Benefits

A recent study pointed out that 70% of Insurance Executives are interested in collaborating with InsurTechs for developing new offerings. While developing new & innovative offerings remains the focus, such partnerships can play a crucial role in improving operational efficiency, enhancing customer experience, and increasing data capabilities.

InsurTech and Insurance Partnership outlook — *Source:* *The State of AI in Insurance*

Enabling Mobile-first Business Model

The current generation cares about self-managing everything that matters to them (including Insurance) on mobile. If it’s not convenient to use, the consumer is, perhaps, not ready to adopt it. For instance, each day, more than 5 billion people go online using their smartphones or mobile devices.

InsurTechs, as consumer-focused they are, have been leveraging mobile technologies for micropayments, mobility and IoT connectivity.

Insurer’s benefits:

Capability to extend their services/products to the mobile channel.
Attracting new customers who are more inclined towards self-service options.
Making information and services accessible and available everywhere, irrespective of geographical location, thus enhancing the customer experience.

Gaining Operational Efficiency at Scale

Insurers can harness InsurTechs’ capabilities on cutting-edge technologies like cognitive process automation, natural language processing, and ML-derived insurance analytics. Applications built using these technologies are scalable to the enterprise level.

For instance, with cognitive automation, Insurers can improve the efficiency and quality of computer-generated responses. Forrester predicts cognitive processes will overtake nearly 20% of service desk operations.

Similarly, InsurTechs are investing in developing workflow automation solutions, using which Insurers can create new automated workflows and/or customize existing workflows. Workflow automation with intelligent document and data processing capabilities has resulted in over 80% operational gains over manual processes.

Another milestone in improving operational efficiency is achieved through the adoption of chatbots. NLP-powered chatbots seamlessly integrate with an organization’s workflows and are a great way to humanize machine conversation and at the same time automate customer service portals.

Opportunity to extend the portfolio

InsurTechs still require traditional Insurers’ support for underwriting and during risk mitigation. On the other hand, Insurers are sceptical about micro and on-demand insurance because of the distribution challenges it poses for low-profit products. Insurers and InsurTechs can easily bridge the gaps and at the same time extend their range of offerings through strategic collaboration. Since 2017, Insurance and technology firms have announced more than 180 partnerships, KPMG states.

For example, American Family Insurance (AmFam) organizes its interests around innovation, advanced analytics, and connectivity. It has investments in CoverHound, HomeTap, Bunker, Wireless Registry, and LeaseLock.

“By making these investments, we do seek a financial return with the investment, but really we look for opportunities to work together, reconnaissance on how the world is changing.”
Dan Reed, MD, Managing Director, American Family Ventures

Source: Insurance Journal

Thus, InsurTech and Insurance partnership can also benefit from extending the product portfolio. Let’s now look at some remarkable examples.

4 Noteworthy InsurTech and Insurance Partnerships from Recent Years

1. Zurich Connect and Yolo

Zurich Connect, the digital arm of Zurich Italy, partnered with on-demand digital Insurance broker Yolo to provide virtual assistance to its customers. Together, they launched HomeFlix — to provide a range of Insurance coverage to renters and homeowners.

HomeFlix offers laundry service, concierge maintenance services such as plumbing and electric, and cleaning services to its customers along with regular and short-term insurance coverages starting at a nominal price of € 3.55 per month.

2. FRIDAY and Friendsurance

FRIDAY is a Berlin-based InsurTech startup. It offers digital automotive insurance with flexible terms like kilometre-accurate billing and the option to terminate at month’s end. The company partnered with Friendsurance, an online peer-to-peer insurance service provider. Friendsurance business model relies on paying out a percentage to customers who do not use (or use very little) annual insurance.

This partnership helps FRIDAY to sell at its policies on the Friendsurance platform and Friendsurance benefits from providing a range of insurance cover options to its customers.

3. Generali Global Assistance with Lyft and CareLinx

Generali Global Assistance is a division of Italy’s Generali Group. It provides travel insurance-related services. The company partnered with InsurTech Lyft and CareLinx to improve customer service and provide value-added services (e.g. CareRides, a door-to-door transportation service for special-needs individuals) respectively.

4. Prudential Singapore and StarHub

Singapore-based Prudential Insurance Company is the subsidiary of Prudential Plc, a British multinational life insurance & financial services company. The company partnered with StarHub to create FastTrackTrade — a digital trading platform. Using the FastTrackTrade platform, users can buy/sell goods, track shipments, make transactions, access financing, and buy insurance.

We’re a recognized InsurTech100 company with main focus on developing AI-first products and solutions for modern Insurance enterprises. For more details, please feel free to drop us a word at hello@mantralabsglobal.com.

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.

How InsurTech-Insurance Partnership Delivers New Product Innovations

InsurTech and Insurance Partnership Benefits