Production-Ready Generative AI Quality Assurance with NarrateAI on Amazon Bedrock

Used by more than 4,000 AWS executive leaders, NarrateAI delivers numerical accuracy and uninterrupted accessibility in live business reviews through production-ready large language model quality assurance techniques implemented on Amazon Bedrock.

Artificial Intelligence in Live Business Reviews

Executives need instant and reliable data to make accurate decisions during live business reviews. Conversational agent-based artificial intelligence assistants aim to meet this need.

However, an incorrect number or delayed response in front of leaders can have serious professional consequences. Therefore, a large language model on its own may not be sufficient.

Production Environment Challenges and Solutions

Gaps that arise in the production environment manifest as hallucinated metrics, API constraints, validation delays, and subjective expressions.

To overcome these issues, production-ready quality assurance must be applied at every stage from data ingestion to response delivery.

Five Core Techniques and Integration

Five techniques applied on Amazon Bedrock work together with features such as adaptive pipeline orchestration and cross-account multi-model fallback.

Real-time stream evaluation, a composite evaluation framework, and data accuracy validation also constitute other critical components of the system.

NarrateAI Architecture and Domain

This article constitutes the second part of the NarrateAI series, which uses a two-tier architecture built on Amazon Bedrock AgentCore.

The platform offers a scalable structure to transform the business intelligence processes of more than 4,000 AWS executive leaders.