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Revolutionizing CX in Banking in 2024: How Banking Apps are Leveraging AI for Enhanced Customer Engagement

In today’s digital age, banking apps have become a critical tool for customers to manage their finances. With the rise of fintech and open banking,

With Gen AI coming into the picture, banks are leveraging AI to not only streamline their back-end processes but also provide hyper-personalized experiences and enhance customer engagement. According to McKinsey Global Institute, gen AI could add $2.6 trillion to $4.4 trillion annually in value with banking predicted to have one of the largest opportunities.

In this article, we’ll explore how banking apps are leveraging AI to transform the banking industry and revolutionize CX in 2024.

The Rise of Banking Apps

Fintech app

According to a study by the Federal Reserve, 53% of smartphone users have used mobile banking in the past 12 months, and this number is expected to continue to rise. As more customers turn to banking apps for their financial needs, banks are under pressure to provide a seamless and personalized CX to stay competitive.

How AI is Revolutionizing CX in Banking Apps

Personalized Recommendations and Insights

AI in banking

One of the key ways that AI is transforming CX in banking apps is through personalized recommendations and insights. By analyzing a customer’s financial data, AI algorithms can provide personalized recommendations for financial products and services that best suit their needs. This not only helps customers make more informed decisions but also increases the likelihood of cross-selling and upselling for banks.

AI can also provide valuable insights into a customer’s spending habits, allowing banks to offer personalized budgeting and financial planning tools. This not only improves the CX but also helps customers better manage their finances.

With Gen AI’s capability to summarize and contextualize documents from ample unstructured data, those working within customer contact functions can get a more comprehensive view saving their time and effort and thus improving their efficiency. 

Chatbots for 24/7 Customer Support

Another way that AI is enhancing CX in banking apps is through the use of chatbots for customer support. Chatbots are AI-powered virtual assistants that can communicate with customers in natural language, providing quick and efficient support. They can handle a wide range of inquiries, from basic account information to more complex issues, without the need for human intervention.

By using chatbots, banks can provide 24/7 customer support, improving the overall CX for customers. This also reduces the workload for human customer service representatives, allowing them to focus on more complex inquiries.

Fraud Detection and Prevention

Fraud detection

AI is also playing a crucial role in fraud detection and prevention in banking apps. By analyzing a customer’s spending patterns and transaction history, AI algorithms can identify suspicious activity and flag it for further investigation. This not only helps banks prevent fraud but also provides customers with peace of mind knowing that their accounts are being monitored for any unusual activity.

Predictive Analytics for Better Decision-Making

AI-powered predictive analytics is another way that banking apps are leveraging AI to enhance CX. By analyzing a customer’s financial data, AI algorithms can predict future spending patterns and provide insights for better decision-making. This can help customers plan for major purchases, budget more effectively, and make informed investment decisions.

The Future of AI in Banking Apps

Voice-Activated Banking

As AI technology continues to advance, we can expect to see more voice-activated banking features in the future. Customers will be able to use their voice to check their account balance, make transfers, and even apply for loans. This will provide a more convenient and hands-free way for customers to manage their finances.

Hyper-Personalization

With the help of AI, banking apps will be able to provide hyper-personalized experiences for customers. This means that every aspect of the CX, from product recommendations to customer support, will be tailored to the individual customer’s needs and preferences. This will not only improve the CX but also increase customer loyalty and retention.

Advanced Fraud Detection and Prevention

As AI technology continues to evolve, we can expect to see more advanced fraud detection and prevention measures in banking apps. AI algorithms will be able to analyze a customer’s behavior in real-time and identify potential fraud before it happens. This will provide customers with even more security and peace of mind when using banking apps.

Conclusion

AI is revolutionizing CX in banking apps, providing customers with a more personalized, convenient, and secure banking experience. With increasing competition and changing consumer expectations, banks must embrace AI to stay competitive and meet the evolving needs of their customers. With the advancements in AI technology, we can expect to see even more innovative features and improvements in the CX of banking apps in the future.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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