98% Faster QA Feedback: Empowering Agility in Insurance Brokering.

1.Executive Summary

Insurance brokering company entered the Indian insurance broking sector with the objective of delivering cost-effective and high-quality insurance services. Partnering with leading insurance providers, INSURANCE BROKERING COMPANY offers comprehensive general insurance solutions tailored to enhance customer experience, risk coverage, and operational efficiency. With a focus on digital transformation, INSURANCE BROKERING COMPANY aimed to automate core processes such as policy issuance, assisted claims handling, and online MISP enrollment and renewals..

2.About the Customer

INSURANCE BROKERING COMPANY seeks to strengthen insurance penetration in India by leveraging its expansive distribution network and strong partnerships with reputed insurers. Embracing a digitally driven and innovation-friendly culture, INSURANCE BROKERING COMPANY fosters transparency, agility, and a continuous growth mindset.

3.Problem Statement:

Insurance brokering company faced significant inefficiencies in its software development and deployment processes, leading to:

Slow Deployment Cycles:

Manual processes caused deployments to take 6-8 hours per release, delaying critical updates.

High Error Rates:

30% of deployments failed due to human errors in manual testing and integration.

Frequent Outages:

Large, infrequent releases led to 2-3 major outages per quarter, impacting customer experience.

Long Feedback Loops:

Developers waited 5-7 days for QA feedback, slowing bug fixes and feature improvements.

Lack of Visibility:

No real-time monitoring resulted in undetected performance issues for 48+ hours, increasing resolution time.

To address these challenges, INSURANCE BROKERING COMPANY adopted AWS DevOps and CI/CD pipelines to automate workflows, improve reliability, and accelerate delivery.

4.Why AWS

INSURANCE BROKERING COMPANY selected AWS as the preferred cloud platform for its flexibility, security, and scalability:

Cost-effectiveness:

AWS’s pay-as-you-go model enabled significant savings compared to on-premise infrastructure.

Security:

AWS’s robust security services ensured better protection of sensitive customer data.

Scalability:

The ability to scale infrastructure on-demand allowed INSURANCE BROKERING COMPANY to adapt swiftly to business needs.

5.Why the Customer Chose the Partner

INSURANCE BROKERING COMPANY partnered with Precision Infomatic due to:

• Technical expertise: The partner has specialized knowledge, skills, and experience in the specific technologies and platforms required to solve the customer’s challenge.
• Industry knowledge: The partner deeply understands the customer’s industry and challenges and has experience delivering similar solutions to other customers in the same industry.
• AWS experience: The partner has extensive experience with AWS and has a proven track record of delivering successful solutions on the AWS platform.
• Customer focus: The partner has a customer-centric approach and is focused on understanding the customer’s needs, goals, and challenges, and delivering a solution that meets their specific requirements.
• Technical certifications: The partner has achieved one or more technical certifications from AWS, demonstrating their expertise in specific AWS services and technologies.

6.Why the Customer Engaged the Partner

• Proven track record: The AWS Partner has a proven track record of delivering successful solutions to other customers using AWS.
• Cost savings: The customer believes that engaging with the AWS Partner will result in cost savings compared to developing an in-house solution or engaging with another partner.
• Access to specialized resources: The AWS Partner has access to specialized resources, such as technical expertise, specialized tools, and best practices, that the customer does not have in-house.
• Time savings: The customer believes that engaging with the AWS Partner will result in time savings compared to developing an in-house solution or engaging with another partner.
• Better alignment with AWS: The customer believes that the AWS Partner’s solution aligns better with AWS offerings and technologies compared to other options.
• AWS certifications: The AWS Partner has achieved one or more AWS certifications, demonstrating their expertise in specific AWS services and technologies.
• AWS expertise: The customer recognizes the AWS Partner’s expertise and knowledge in using AWS services and technologies to solve their challenge.

7.Partner Solution

Precision Infomatic collaborated with INSURANCE BROKERING COMPANY to establish a modern DevOps framework built on AWS. The solution emphasized automation, scalability, and resilience, using AWS Well-Architected principles.

6.1 AWS Architecture Design

A customized AWS architecture was designed to meet INSURANCE BROKERING COMPANY’s immediate requirements and long-term DevOps goals. This robust foundation enabled INSURANCE BROKERING COMPANY to scale operations efficiently while ensuring operational continuity and system reliability.

8.Key DevOps Practices Implemented

• Source Control: Adopted S3 to manage application and infrastructure code, enabling traceability and collaboration.
• Continuous Integration (CI): Set up a CI pipeline to automate application builds and packaging upon code commits.
• Infrastructure as Code (IaC): Leveraged AWS CloudFormation for consistent, version-controlled infrastructure provisioning.
• Continuous Delivery (CD): Automated the deployment pipeline to push validated changes to production with minimal manual intervention.

9.Primary AWS Services Used

EC2 Auto Scaling: Ensured high availability and performance while optimizing cost through elastic compute resources.

Amazon RDS (MSSQL): Provided a reliable, scalable managed database solution with built-in backups and patching.

AWS CodePipeline: Enabled a streamlined CI/CD process, reducing deployment errors and accelerating releases.

Amazon S3: Utilized for secure, durable storage of unstructured data.

AWS WAF: Strengthened application security by protecting against common web threats.

AWS CloudFormation: Empowered infrastructure automation using repeatable and scalable templates.

10.Results and Benefits

90% Faster Deployment Cycles :

Before: Manual deployments took 6-8 hours per release

After: Automated CI/CD pipelines via AWS CodePipeline & CodeDeploy reduced deployment time to under 10 minutes

80% Reduction in Deployment Failures

Before: 30% failure rate due to manual errors

After: Automated testing with AWS CodeBuild cut failures to just 6%

Elimination of Major Outages

Before: 2-3 major outages per quarter from large, infrequent releases

After: Zero major outages in 6 months using AWS Blue/Green DeploymentsBefore: 2-3 major outages per quarter from large, infrequent releases.

98% Faster QA Feedback

Before: 5-7 day wait time for manual QA feedback

After: Real-time automated testing delivers feedback within 1 hour.

90% Faster Issue Detection

Before: 48+ hours to detect performance issues.

After: AWS CloudWatch & X-Ray identify problems in under 30 minutes.

50% Faster Time-to-Market

Accelerated release cycles enabled twice as many feature deployments.

80% Reduction in Operational Costs.

Automation eliminated thousands of manual work hours annually.

40% Improvement in Application Performance

Measurable gains in reduced latency (from 2s to 1.2s) and 99.95% uptime

Enhanced Customer Satisfaction

30% fewer support tickets due to improved reliability

15% increase in customer retention year-over-year

11.Lessons Learned:

CI/CD with CodePipeline and CodeDeploy: We implemented AWS CodePipeline integrated with GitHub for version control and used CodeDeploy (Windows Agent) for deploying applications to EC2 Windows servers running IIS

IIS Deployment Automation: PowerShell scripts were used within CodeDeploy lifecycle hooks to stop/start IIS, validate health, and register application versions.

Rollback Enablement: CodeDeploy’s rollback feature allowed automatic rollback to the previous stable version in case of deployment failure.

Improved Testing and Quality Gates: Automated build validation and integration testing were introduced using NUnit and Pester, ensuring higher release quality.

Release Visibility and Notifications: Deployment progress and failures were tracked through CloudWatch Logs and notified via SNS and email, improving operational response time.

Security and Permissions: IAM roles with least-privilege access and AWS Systems Manager Parameter Store were used for secure credential management and automation.

TCO:

Comprehensive pricing table comparing the current setup with the partner solution.    The table includes estimates for performance, deployment efficiency, infrastructure management, and market responsiveness.

12.About the Partner

Precision Infomatic is an AWS Advanced Tier Consulting Partner and a member of the AWS Public Sector and Well-Architected Partner Programs. Specializing in cloud solutions, DevOps, FinOps, and digital transformation services, Precision Infomatic is committed to delivering secure, scalable, and cost-effective cloud solutions tailored to business goals.