Case Study: a multinational healthcare enterprise cuts development costs by 50% with Tiger Analytics' Agentic AI SDLC Automation

Multinational Healthcare Enterprise cuts software development costs by 50% with Tiger Analytics

Tiger Analytics partnered with a multinational healthcare enterprise facing high operational overhead and manual processes in its software development lifecycle (SDLC). The client needed to automate routine engineering tasks, standardize data pipelines, and improve compliance and governance across its global operations.

Tiger Analytics developed a production-grade Agentic AI platform called "DEV AGENT," built on AWS with Bedrock and LangGraph. This multi-agent system automated core SDLC workflows, integrated with Bitbucket and Jira, and provided full observability with Langfuse. The solution implemented by Tiger Analytics achieved an approximate 50% reduction in overall software development costs and drastically reduced manual developer hours, while significantly improving compliance and data quality.