Gallup scales real-time coaching for thousands with Amazon Bedrock

Summary

Gallup needed to centralize decades of proprietary workplace performance research to provide proactive, real-time coaching for organizational leaders directly within their daily workflows. To solve this challenge, Gallup developed Gallup AI inside its Gallup Access platform using Amazon Bedrock and Anthropic Claude models. The multi-tenant serverless architecture leverages Amazon Bedrock Knowledge Bases and Amazon Kendra for retrieval-augmented generation, while AWS Lambda with FastAPI powers real-time streaming responses. Amazon ElastiCache Serverless caches recent conversation history for sub-millisecond session retrieval, Amazon RDS for MySQL provides durable transactional storage, and Amazon Bedrock Guardrails enforce content safety. Since its June 2024 launch, the system has achieved sub-second time-to-first-byte streaming latency while prompt volume grew approximately sevenfold across thousands of organizations.

Context

Gallup possessed over 90 years of workplace research and performance data, but the knowledge was not centralized or delivered in context. Leaders had to manually search multiple resources to find insights and translate them into action without guidance, causing workplace challenges to be handled reactively rather than proactively.

Approach / What changed

Gallup built Gallup AI into the Gallup Access application using Amazon Bedrock with Anthropic Claude models. The serverless architecture utilizes Amazon Bedrock Knowledge Bases for archived research in Amazon S3 and Amazon Kendra for crawled web articles. AWS Lambda with FastAPI delivers streaming responses, Amazon ElastiCache Serverless caches conversation history, Amazon RDS for MySQL acts as the system of record, Amazon DynamoDB stores contextual data, and Amazon Bedrock Guardrails enforce content safety.

Takeaways

• A dual RAG approach combining Amazon Bedrock Knowledge Bases for S3 research archives and Amazon Kendra for web crawls provides verified historical and up-to-date domain data.
• AWS Lambda running FastAPI combined with Amazon ElastiCache Serverless enables real-time response streaming with sub-second time-to-first-byte and sub-millisecond session retrieval.
• Since the June 2024 launch, prompt volume increased approximately 7x, active users grew 5.5x, and average prompts per conversation rose 55%.

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