Workato used its WOW: World of Workato conference on 22 August to unveil a suite of products designed to place autonomous software agents at the heart of corporate workflows. The integration-platform vendor framed the move as a step toward treating AI systems as “colleagues” rather than isolated tools, reflecting a wider shift in how businesses hope to deploy generative models. The release is anchored by Workato One, an agentic stack that combines large-language models, enterprise systems and human approvals. Supporting components include Genie, a no-code environment for creating and managing agents, and Agent Knowledge Graph, which connects those agents to a company-wide data fabric and exposes them as APIs for collaboration across business units. Chief Strategy Officer Markus Zirn said roughly 80 percent of early customer pilots using the new platform have progressed into production, far outpacing an MIT study published this week that found just 5 percent of AI pilots deliver rapid revenue gains. While executives tout the potential to streamline IT and back-office tasks, security experts such as Bruce Schneier warn that the success of autonomous agents will hinge on rigorous data-integrity controls.