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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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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