The Business Challenge
The business situation the organisation faced before the project began.
The insurance provider faced a high volume of daily customer inquiries via email, leading to operational bottlenecks, delayed response times, and increased cognitive fatigue for support agents. Agents had to manually parse complex policy documents and historical data to reply accurately, which slowed down the resolution cycle and impacted customer satisfaction.
How the Solution Was Delivered
Discovery, design, development, testing and rollout — the journey, not the tooling.
- 1Conducted workshops to gather business requirements and identify key customer service pain points.
- 2Designed the architecture leveraging AWS Bedrock for foundation model orchestration.
- 3Developed secure data pipelines to ingest and index insurance policy documentation.
- 4Implemented prompt engineering and retrieval-augmented generation (RAG) workflows to ensure accurate, compliant responses.
- 5Integrated the AI engine with the existing customer service email platform and CRM interface.
- 6Conducted user acceptance testing (UAT) and iterative optimization based on agent feedback.
- 7Deployed the solution to production and established performance monitoring metrics.
Business Outcomes & Impact
The measurable outcomes recorded on this AI Case Study — with the story behind them.
Reduced email response turnaround time by 50% and decreased manual drafting effort for customer service agents, leading to a significant lift in customer satisfaction scores and operational efficiency.
Business Outcome Categories
The story behind the numbers
Productivity Improvement, Customer Experience, Time Savings, Employee Experience
Lessons Learned
What surprised the team, what worked well, and what would be done differently.
- Contextual guardrails and robust prompt engineering are critical when handling highly regulated insurance inquiries.
- A human-in-the-loop approach (agents reviewing AI drafts) accelerates user adoption and ensures absolute response accuracy.
- Seamless CRM integration is vital to minimize context-switching and maximize agent productivity.