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AI in KYC: What’s in Store for the Digital Insurer and Customer

2 minutes, 4 seconds read

Know Your Customer or KYC is a crucial step towards ensuring that any financial malpractice, money laundering scams, terrorism financing, and other illegal corruption schemes are cut at their source, thus becoming a primary aspect for customer identification. It is also the first step in the client onboarding process. 

KYC procedures include ID card verification, face verification, document verification such as utility bills as proof of address, and biometric verification.

Banking institutions must strictly comply with KYC regulations and anti-money laundering regulations to curb fraudulent activities. KYC compliance responsibility rests with the banks, failing which they might also be heavily penalized. 

International regulations such as The Financial Action Task Force (FATF) are also now implemented in national laws encompassing strong directives namely, AML-4 and 5, and preventive measures such as KYC for accurate client identification.

Artificial Intelligence takes KYC and AML compliance to a new level by combining related technologies that offer the potential to automate workflows and analyze large volumes of varied data. 

The AI Future: 

AI ensures intelligent decision-making and overall monitoring that helps to battle risks and frauds associated with financial institutions. It’s programmed to comb through large mounds of data, process and thereafter verify client profiles, as well as, enhances due diligence in an organization. Machine Learning (ML) clubbed with AI augments the smooth running of operations, particularly in labor-intensive areas. 

With its innovative technological revolution, AI-based technologies are changing industries worldwide through automation and machine learning. Banks and other financial institutions have so far benefitted in terms of Workflow Automation, Link Analysis, Maintaining Compliance, and Regulatory Changes, among other processes. 

Image credit: www.infosysconsultinginsights.com

KYC Automation, Benefits, and How It’s Better Than Manual KYC: 

KYC automation leverages advanced AI and machine learning technologies to ensure that all regulatory standards are met without a high dependency on internal resources. 

Even though end-to-end KYC processing still requires humans to make high-level decisions, a majority of the processes can be taken care of using automation, or Intelligent Process Automation. 

Intelligent Process Automation (IPA) includes Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Intelligent Character Recognition (ICR), and Artificial Intelligence (AI). This collection of technologies combine the entire management, automation, and integration of digital processes. These are also now being used to automate workflows, extract data from documents and reduce the time taken for screening, identification, and verification. 

Why choose automation? 

From cost reduction, more efficiency, minimized risk, and more, KYC automation is more helpful than manual processes used in the past. Here’s a detailed look: 

Cost Reduction: Automated solutions enhance KYC processes and reduce onboarding costs by over 70%. By substantially eliminating data entry errors and any required rectification, hefty non-compliance fines, thereby delaying the onboarding cycle, banks and financial institutions can significantly reduce costs.

Increased Efficiency: A fully automated identity verification process enables customers to create a verified digital identity instantly. Automated solutions also have the added benefit of running round-the-clock with no downtime.

Low risk: Automation helps to minimize the risk of errors caused by any unfortunate data entry mistakes or oversights. The reduced manual intervention also significantly reduces security threats and data breaches, thereby keeping customers’ data safe and banks compliant.

Improved Customer Experience: A great customer experience is the key to a business’ success. Automated KYC provides clients with a smooth experience by eliminating any back-and-forth between customers and banks when new information may be required. 

According to a 2019 study by Forbes, a total of 302 senior executives were surveyed, out of which 92% said that employee satisfaction had risen as a result of intelligent automation initiatives. 

In the new normal, the customer experience landscape is being substantially redefined across industries. A number of companies have put ML-based chatbots to better use when it comes to reducing bot-to-human interaction rate, leading to increased operational efficiency and better workforce productivity.

With the recent nod from RBI and IRDAI to Video-based Customer Identification Process (V-CIP) for Banks and FIs, Video KYC solutions too are gaining fast traction amongst businesses.

State Bank of India (SBI), via its mobile banking app YONO, has introduced a Video KYC-based account opening feature. This will allow customers to open an account with SBI without having to visit a bank branch. 

“This digital initiative powered by Artificial Intelligence (AI) and Facial Recognition Technology is a contactless and paperless process,” said SBI. 

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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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