Pacific Specialty Insurance - Gen AI Powered Call Categorization & Root Cause Analysis for connect call centre

About Pacific Specialty Insurance Company

Pacific Specialty Insurance Company (PSIC) is a California-based insurance provider specializing in personal and specialty insurance products. Established in 1976, it offers coverage for homes, motorcycles, recreational vehicles, watercraft, and personal liability. It prides itself on delivering a deeply personal customer experience.

PSIC operates a high-volume customer contact centre powered by Amazon Connect. Each day, hundreds of calls come in from customers seeking support on policy details, billing inquiries, service requests, and claims. Although the migration to Amazon Connect provided a scalable cloud infrastructure, the company continued to face a persistent challenge a lack of visibility into why customers were calling and what underlying issues were driving repeat interactions.

Objectives

Recognizing the operational inefficiencies caused by their manual call categorization process, Pacific Specialty Insurance Company outlined the following objectives:

1.Implement an automated AI-driven system to replace manual call analysis and categorization workflows.

2.Implement an automated AI-driven system to replace manual call analysis and categorization workflows.

3.Provide real-time visibility into customer call patterns and root causes for data-driven decision making.

4.Integrate seamlessly with existing Amazon Connect infrastructure without disrupting established call center operations.

Partner Solution Provider

P3Fusion stepped in as Pacific Specialty's AWS Partner, bringing expertise in AI/ML solutions and contact centre modernization. The P3Fusion team understood that Pacific Specialty needed more than just a technical solution - they needed a comprehensive approach that would integrate seamlessly with their existing Amazon Connect infrastructure while delivering immediate business value through automated call intelligence.

Customer Challenge

Pacific Specialty's operations team was struggling with a time-consuming and error-prone manual process that was reducing their efficiency. Agents and Analysts spent countless hours listening to call recordings and manually assigning categories and subcategories to each interaction, often missing important context or applying inconsistent labels due to human error. This manual approach created a cascade of problems throughout the organization.

The company's leadership couldn't get timely insights into customer issues, which meant they were always reacting to problems rather than preventing them. Customers were frequently calling multiple times about the same issues because the root causes weren't being identified and addressed quickly enough.

Pacific Specialty knew they needed a smarter, more scalable approach that could grow with their business while delivering the real-time insights their leadership needed to make data-driven decisions.

Solution & AWS Services Leveraged

P3Fusion architected a comprehensive solution built entirely on AWS services that would integrate seamlessly with Pacific Specialty's existing infrastructure. At the heart of the solution, Amazon Bedrock provided the foundation model capabilities needed to understand and analyze call transcripts with human-like comprehension. Amazon Transcribe continued to convert speech to text as calls flowed through the existing Amazon Connect system, with all transcript data securely stored in Amazon S3.

For every conversation, the AI extracts a concise summary, identifies a primary call category and relevant subcategories, determines the root cause of the issue, and even recommends actions to prevent similar future calls. The structured outputs are stored in Amazon RDS and visualized in Amazon QuickSight dashboards, giving business analysts instant visibility into trends, common issues, and system bottlenecks.

Finally, Amazon QuickSight enabled the creation of dynamic dashboards that transformed raw data into actionable business intelligence that leadership could use to drive operational improvements. Most importantly, all of this was achieved with zero disruption to existing call center operations.

Results

Operational Efficiency

Average time spent on call categorization reduced by over 70%, freeing up agent resources for other call strategic activities.

Improved Accuracy

Call classification accuracy improved by 45%, eliminating inconsistencies and false positives from previous manual processes.

Cost Reduction

Operational costs related to manual call review and categorization decreased by 20% while maintaining higher data quality.

Conclusion

P3Fusion's AWS-based solution delivered exactly what Pacific Specialty Insurance needed - a transformation from manual, error-prone processes to intelligent, automated insights that drive real business value. By leveraging Amazon Bedrock and the broader AWS ecosystem, Pacific Specialty achieved immediate operational improvements while positioning themselves for continued innovation in customer service excellence. The project demonstrates how the right combination of AI technology and strategic implementation can solve complex business challenges while opening doors to future opportunities that weren't previously possible.

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