AWS Machine Learning Blog· Varun Valsan·· 5 d ago
How TCS built an agentic test orchestrator with Amazon Bedrock AgentCore
How TCS built an agentic test orchestrator with Amazon Bedrock AgentCore
AI summary
Tata Consultancy Services (TCS) built an agentic test orchestrator on Amazon Bedrock AgentCore that turns requirements into executable, governed tests for its Banking, Financial Services, and Insurance (BFSI) clients. Learn how specialized agents, per-tenant isolation, and workload-aware execution cut testing effort by 88% in an internal benchmark.
Selection record
Threshold 60Official, first-handFirst 38Second 32
Not admittedSum of both 70 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：构建Agent测试编排器，含多智能体与生成式AI
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com