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Does Microinsurance work for India’s poor?

Microinsurance schemes target the betterment of the low-income segment whose daily income is less than ₹250 per person. The term “micro” refers to the small financial transactions generated by insurance policies. Since the introduction of the Microinsurance Regulation of 2005, 15 companies have registered more than 23 products with IRDA (Insurance Regulatory and Development Authority of India). But sadly, the Indian insurance sector has achieved a penetration rate of only 3.49% and the majority of it comes from the urban population.

Microinsurance can be delivered through a variety of channels like licensed insurers, health care providers, microfinance institutions, community-based and non-governmental organizations. Despite so many open channels and nearly 15 years of operation, microinsurance products are not easily accessible to the rural populace. 

In this article, we will discuss why private insurers are unable to reach rural India and the ways to effectively distribute these schemes to the rural mass.

Why Insurance Companies are Unable to Reach Rural India for Microinsurance Policies?

The low penetration levels and the large protection gap is a major challenge for the Indian insurance industry.

Casparus Kromhout, MD & CEO, Shriram Life Insurance
Gaps in microinsurance policies reaching rural areas

Flaws in Traditional Insurance Methods

Typically, insurance companies recruit agents who can charge their clients up to 20% of the premium as fees. Insurance companies appoint agents under the ‘Deed of Agreement’ or ‘Memorandum of Understanding’. The point is, the insurance companies and agents (or community workers) lack tight coupling. And most of the time, insurance agents don’t prefer sharing their client data with the insurer. Therefore, the insurance companies have data about the policies sold but are missing complete customer details.

Insurance companies are also the late adopters of technology. For some, budget is the constraint while for many it is the perception about technology that is creating a roadblock. There is a cost associated with building technology according to the organization’s needs, implementing it, and also training the stakeholders to use it. Although, it is a one-time investment, still, many insurance companies are hesitant to spend in technology.

Overcoming Operational Challenges in the Rural Microinsurance Space through Technology

Automating manual processes can reduce operational cost and improve efficiency. 

webinar: AI for data-driven Insurers

Join our Webinar — AI for Data-driven Insurers: Challenges, Opportunities & the Way Forward hosted by our CEO, Parag Sharma as he addresses Insurance business leaders and decision-makers on April 14, 2020.

For example, Gramcover, an Indian startup in the microinsurance sector uses direct document uploading and processing for faster insurance distribution in the rural sector.

Similarly, MaxBupa, a leading health insurance venture uses
FlowMagic automated solutions for processing inbound documents. It has simplified the operations by lowering manual dependencies and by being adaptable to the existing organizational processes.

The Scope of Consumer Technology and Insurance Companies in Microinsurance Space

Consumers value convenience. Insurance companies that can provide 24/7 services are at a bigger competitive advantage. 

However, technology alone cannot reform the microinsurance sector. There still needs to be human ‘touchpoints’ to educate rural customers. Insurance companies can deploy technology for improving operational efficiency. 
India accounts for nearly 65% of Asia’s microinsurance market, and with the right strategies that meet these challenges, insurance companies can reach out to actual Bharat — who are otherwise deprived of microinsurance benefits.

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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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