Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(7)

Customer Journey(16)

Design(39)

Solar Industry(7)

User Experience(62)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(48)

Backend(32)

Dev Ops(8)

Enterprise Solution(28)

Technology Modernization(4)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(36)

Insurtech(63)

Product Innovation(54)

Solutions(21)

E-health(11)

HealthTech(23)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(139)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Is Insurance Moving Up the Customer Experience Value Chain

4 minutes, 36 seconds read

The insurance industry has been thriving to establish a strong connection with customers. The challenge is, however, intense with digital disruption and new avenues for customer risks. Insurance companies are catching the pace of the technological revolution and harnessing technology to bring more relevant products to the customers. While ‘customer satisfaction’ lies at the centre of businesses today, is insurance moving up the customer experience value chain? Let’s see.

Insurance Now and a Decade Ago

Traditionally, a customer would call the insurance company during instances of claims. The customer would hear from the company only when the policy renewal time is approaching. This indicates the need for an ice-breaker in the insurance-customer relationship.

A decade ago, insurers intended to harmonize customer interactions — the touchpoints. Normally, any insurance company can have 4-7 customer touchpoints. Even though individual touchpoints are performing, the overall experience for a customer might not be satisfactory.

Is Insurance Moving Up the Customer Experience Value Chain Satisfaction-touchpoints-X-customer-journey

Customer satisfaction depends on five factors: interaction; price; policy offerings; billing & payment; and claims. However, to train the entire organization to see the interactions with customers’ eyes is still a challenge. It’s not possible to revamp the entire system overnight, but identifying the pain-points and acting upon them can surely move insurers up the ‘experience’ value chain.

For instance, the year 2014-15 witnessed one of the hefty market slowdowns in the automobile sector. Despite this, the millennials expressed an increase in satisfaction for their car-insurance services. The main reason for the increased satisfaction in the customer experience value chain was measurably improved interactions. 

Resource: “Improved Interactions Drive Gen Y Increase in Auto Insurance Satisfaction.”

Addressing the fact that more touchpoints lead to more operational challenges and time to deliver results; insurers prototyped single-point-of-contact models during 2015-16. Here, a personalized agent would take care of the customer interactions. The results were profound, and this step is a milestone in defining the customer journey as a whole. McKinsey’s research finds that customer journeys are more strongly correlated with business outcomes than touchpoints.

Also read: Customer Journey is the New Product!

Today, organizations are leveraging technologies to speed-up processes like policy distribution, underwriting, and claim settlements. For instance, USAA (The United Services Automobile Association) is developing machine learning models to instantly predict vehicle damage from digital images and offer claim estimates.

Recent Developments in Insurance

According to Accenture, 76% of customers would switch providers for more personalized service and tailored product offerings. Insurers are, therefore, not only concerned about “what my customers want,” but also – “how my customers want.” 

Organizations are using technology to provide tailored solutions to customers specific to their requirements. Artificial intelligence (AI), Machine Learning (ML), IoT, Blockchain, and Data analytics are strengthening the insurtech sector. 

Carriers are using AI and ML to improve underwriting for mitigating risks. For example, Cape Analytics uses AI and geospatial imagery to provide instant property intelligence. Insurers can, therefore, accurately assess a property’s risk and value.

As mentioned before, claim settlement is one of the five major factors influencing customer satisfaction in insurance. Insurers are leveraging AI and cloud technology to settle claims in minutes or even less. For example, ICICI Lombard uses Cognitive Computing, Intelligent Character Recognition (ICR), and Optical Character Recognition (OCR) to automate the claim settlement process. Similarly for health insurance, ICICI Lombard is covering medical procedures like Cataract, Maternity, Appendicitis, Hemodialysis, and Hysterectomy for app-based claim settlement.

Also read – how AI can settle claims in 5 minutes!

Insurance companies are also automating workflows inline with their existing processes. It is helping insurers to bridge the technology gap between Gen X, Millennials, and Gen Z customers. Efficient insurance workflow automation solutions are trained to decipher industry-specific jargon and at the same time, interact with the user using NLP (Natural Language Processing) techniques.

Another remarkable advancement in insurance CRM is the adoption of chatbots. It is a viable solution to serve multiple customers concurrently. For example, Religare, a leading insurer was able to increase customer interactions by 10x through chatbots.

Religare Chatbot

The present time also sees customers’ growing intent towards micro policies, which serve a single purpose instead of an all-encompassing insurance scheme. Technology is also helping to distribute micro policies in scale with almost zero upfront costs. For example, Gramcover, an Indian microinsurance startup uses direct-document uploading and processing for distributing policies in rural areas.

What Customers Say?

The World InsurTech Report 2019 indicates that less than 25% of business customers and 15% retail policyholders believe they’re covered against all emerging risks. However, 28% of individual customers are amenable to share additional data for more comprehensive services. Also, 15% of customers are willing to pay an additional fee for relevant services

The takeaway —  ‘relevance’ is the key to today’s customers. Insurance companies can leverage this opportunity to provide products related to emerging threats like identity theft, privacy invasion, misuse of personal information, and attacks from ransomware. 

In 2018, about 30% of customers selected their insurer in a single day, according to a survey from the Insurance Information Institute. Through creating exceptional customer experiences, insurers can set themselves apart from their competitors. And the answer to ‘how’ to create this exceptional experience lies in focusing on the journey more than the customer touchpoints.

The customer interaction preferences will keep on changing. Today, millennials prefer to interact with insurers via digital self-service. Tomorrow, Gen Z might want complete automation, i.e. no interaction at all. How fast the insurance industry adapts to the changing preferences will determine the level of satisfaction in the customer experience value chain.

We provide insurtech solutions for business-specific challenges. Feel free to drop us a line at hello@mantralabsglobal.com, illustrating your requirements.

Cancel

Knowledge thats worth delivered in your inbox

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. 

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot