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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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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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