Asana runs AI agents as teammates with shared memory and scoped roles using Claude

Three internal examples illustrate the pattern. A field-questions agent in Slack turns repeated seller queries into Asana tasks, replies with approved guidance or creates product-backlog tickets when answers are missing, and flags recurring topics for the enablement team. An At-Risk Renewal agent reads every at-risk renewal task globally, synthesizes CSM updates into a daily digest with positive momentum, negative momentum, and recommended follow-ups, and pushes it to executives each morning; leaders can coach the agent to improve future digests. In engineering, Command by Asana manages a feedback-to-code loop: agents populate an unplanned board from customer feedback and Slack, humans decide what enters the cycle, and Command predicts completion estimates; managers can query cycle health via Asana's MCP server, which lets Claude read the data directly.