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InsurTalks Podcast with Alex Jimenez: Now is the Time to Reevaluate Digital Customer Experiences

7 minutes read

The COVID-19 pandemic has brought upon an unprecedented change in our daily lives and routines. Consumer behavior is changing constantly. Lockdowns and social distancing have led to huge losses for businesses across industries. The world is heading towards an economic slowdown. Under these circumstances, organizations are facing many challenges to keep their businesses going. Insurers too are facing similar issues. Some insurance lines such as motor, travel, home have suffered a business loss due to low demand.

To understand the impact of this crisis, especially in the USA, we interviewed Mr. Alex Jiminez, Strategy Officer at Extractable from California, and learned more about creating better digital customer experiences in these testing times. 

Extractable is a strategic consulting, design, and data analytics agency focused on the future of financial services. His other recent experience includes leading technology strategic planning for the office of the CIO, at Zions Bancorporation, and managing Digital Banking and Payments Strategy and Innovation at Rockland Trust. Alex has been named to several industry influencer lists in the areas of FinTech, RegTech, Blockchain, InsurTech, Innovation, and Digital Marketing. He has been featured in the Irish Tech News and the Independent Community Bankers of America’s (ICBA) Independent Banker.

Connect with Mr. Alex Jimenez – LinkedIn

The excerpt from the interview:

The impact of COVID-19 pandemic in the financial services industry

What is the impact of COVID-19 pandemic in the financial services industry, and how is the industry responding to the ongoing crisis in the US?

In the wake of the current crisis, organizations are more focused on keeping the operation going, trying to set-up work stations for remote working, dealing with customers and working with them over digital platforms. But very few are focusing on the future which is preparing for the after-effects of this pandemic on the economy. 

In-person communication is still an important mode of interaction with customers in the US banking sector. But now the issue is how to provide good services to clients? Some of our customers are going to experience digital models for the first time. 

Organizations that have well-defined Digital Strategies and Customer-First approach will be able to provide good support to their customers. Organizations that are late into this space are more likely to face problems in the future.

[Related: The Impact of Covid-19 on the Global Economy and Insurance]

Changing customer preferences

How can companies reach out to their customers in this New Normal world?

We have already started to move towards a digital-centric world which is just going to accelerate. We will see businesses who have earlier ignored their digital capabilities will now build more on them. 

The first video call was invented in the 60s and was not so appreciated as everybody thought it was expensive and complicated. Today we have FaceTime, Zoom but adoption has not happened on a larger scale. But this will soon accelerate. Customers will be comfortable dialing into a video chat with their Insurance agent. 

I don’t believe there’ll be a New Normal. For example, in the US after 9/11 people thought that life will never get back to normal but except for rigorous security screening at the airports, there hasn’t been much change in the behavior. 

In Israel, amidst all the constant disturbance, people in Tel Aviv and Jerusalem are living normal lives. There’ll certainly be some specific changes post the pandemic such as more adoption of digital technologies, more focus on customer needs but I believe there won’t be an entirely new world with a drastic change in consumer behavior.  

The need for personalization

What are some Attention hacking lessons for Insurers operating in ‘the New Normal’?

We are moving towards the personalization of products in general. Generally in Life Insurance, we insure people based on their date of birth or medical history. But what if we insure people based on their behavior? If we did that, would people change their more risky behavior to get a better rate? A non-smoker can be given a better rate as opposed to a smoker. If we get down to individuality, saying that this is your individual (your own) rate; it makes a difference. 

There is a lot of data available and AI is needed to mine that data and derive analytics. Just by building a relationship with customers, we are not doing a great job with personalization. It’s important to apply a human touch to the communication which makes customers feel like you know them. Thus, retaining their attention.

Digital customer experience in Insurance

For the insurance industry, what steps can help in delivering the right digital customer experience in terms of UX and visual design?

A lot of organizations practice Design Thinking but Financial Services don’t. They are of the opinion that they know what is needed as they themselves are customers and they have data from the surveys. But that’s a wrong approach. Design Thinking is about empathy. It is important to get into the shoes of your clients to design better solutions.

To enhance digital customer experience, Insurers need a thorough understanding of users — who are the ultimate clients, their needs, what they expect from this experience, etc. After comprehending how they engage with technology and financial services, start venturing into the solution and test the solutions with actual users.

Innovations in the financial services industry

What technology-based innovations are being explored within the financial services industry? And, do you see AI playing a role in the short term? 

AI has already affected Financial Services in a positive way and will make it better. In insurance, IoT has been very impactful and will continue to be. Some applications have already been applied in reality like sensors in cars to detect speed and ensure that you are under the speed limit. This helps in getting reduced premiums. 

However, some basic processes are still done in the old school way of shuffling papers. Straight though-out processes have not yet happened. Now RPA is being applied to this but it is more like a band-aid. What is more important is how we can build processes through true automation with AI.

[Related: 5 Insurance Front Office Operations AI Can Improve]

Adoption of AI in Insurance

Speaking about more adoption of technologies, do you think there’ll be more investment in AI now?

Absolutely! We have already seen that investment in technologies like AI, cloud computing, quantum computing has been ramping up. Businesses will invest much more in AI than before. It might be for better decision making, underwriting, understanding the behavior of clients, etc. Also, from a marketing standpoint, financial services have never focused much before but will now invest in AI for this area too.

[Related: How is AI extending customer support during COVID-19 pandemic]

In your recent article in Extractable – “Deploying third-party financial service technology to mitigate crisis” you talk about what tech vendors are doing wrong. Please expand on how to encourage resources to be innovative change agents?

There were two points that I made in the article-

First is about what companies are doing incorrectly when it comes to innovation. Risk management is consulted only after developing the product. The product release is stalled until the legal compliances are adhered to. Instead, companies should involve the risk management at the beginning of the process (while defining the problem and solution). Involving risk management at every step of the innovation process will make it much easier to push out innovation.

The second was about vendor management. Many small vendors such as tech vendors, InsurTechs want to sell solutions to financial service companies but are often surprised by the tedious vendor management process. There’s a lot of documentation. Once the first process of selling is done, vendors should package the documentation in a way that when the next prospect asks for it, the due diligence package is ready to offer. 

Read article – Deploying third-party financial service technology to mitigate crisis 

Wrapping up

Alex shared interesting insights on how Design Thinking and Visual Design can create better digital customer experience. The design vertical at Mantra Labs too believes in the same and has designed UX for various applications for its customers. Here’s an article to understand the role of Customer Experience (CX) and User Experience (UX): Creating Amazing Digital Customer Experiences


AI is going to be essential for Insurers to gain that competitive edge in the post-pandemic world. Check out Hitee — an Insurance specific chatbot for driving customer engagement. For your specific requirements, please feel free to write to us at hello@mantralabsglobal.com. 

Podcasts in this series:

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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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