Scaling content review operations with multi-agent workflow

Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs. According to a McKinsey study, organizations that use generative AI for knowledge work, including content review and quality assurance can boost productivity by up to 30–50% and dramatically reduce time spent on repetitive verification tasks. Similarly, research from Deloitte highlights that AI-driven content operations not only increase efficiency but also help organizations maintain higher content accuracy and reduce operational risk.

Amazon Bedrock AgentCore, a purpose-built infrastructure for deploying and operating AI agents at scale, combined with Strands Agents, an open source SDK for building AI agents, empowers organizations to automate comprehensive content review workflows. This ...