Enterprise teams often struggle with AI chatbots that fail to retain context across users or track long-term effectiveness. At VB Transform 2026, Asana’s CPO Arnab Bose revealed their solution: Agentic Work Management (AWM), an AI operating system designed to function as cooperative teammates integrated with human workflows. Built on Asana’s 18-year-old Work Graph—a dynamic database mapping tasks, projects, portfolios, and company goals—AWM allows AI agents to share memory and update project statuses collaboratively across the organization.
To protect sensitive information, Asana developed strict access controls ensuring confidential projects remain secure and their details inaccessible to unauthorized users. AWM also employs dynamic model routing that assigns AI tasks to appropriate models based on complexity, optimizing efficiency and cost predictability by charging a flat rate per task.
Unlike typical stateless chatbots, AWM records metadata from completed tasks to create persistent workflows that benefit multiple users. Early adopters like CoreWeave have streamlined product launches by automating task assignment and bottleneck detection, freeing humans to focus on strategic decisions.
Despite competition from AI model providers offering their own agent products, Asana leverages extensive workflow experience and industry-specific procedures to deliver a deeply integrated, scalable system suited for enterprise use.