Asana AI Agents, AI Agents for Asana and Asana AI Studio Pricing

Asana has built its agents into AI Studio, and they handle a real slice of in-platform work: they turn an intake form or a request into a structured task, route it to the right team, draft a project status update, summarize a long thread, and run the smart workflows that used to need manual steps. For teams that plan and track everything in Asana, that native automation removes a lot of small, repetitive clicks.

The pricing model is credit-based, and it is worth understanding before you scale it. AI Studio Basic is included with every paid Asana plan and draws from a shared monthly credit pool per billing account: roughly 50,000 credits on Starter, 75,000 on Advanced, and 200,000 on Enterprise and Enterprise+. Credits are derived from the token volume the selected model processes, and because Asana supports both OpenAI and Anthropic models with different credit multipliers, the same task can cost more or less depending on the model. AI Studio Plus and AI Studio Pro are paid add-ons for more credits. Asana does not print their price on its pricing page; 2026 buyer guides report Plus at about $135 a month billed annually, or about $150 month to month, for 100,000 credits, so get a written quote before you budget on it. The practical effect is that heavy, complex automation makes your AI cost hard to forecast, which is the honest reason many teams pair Asana with a flat-rate agent for the workflows that run constantly. We price every AI Studio tier and the AI Teammates request math in our Asana AI Studio pricing breakdown.

A marketplace agent connects to Asana through its API with scoped, revocable access, and it works the automations that reach past the project. It routes incoming tasks to the right owner by rule or by reading the content, drafts the status update and posts it, and keeps Asana in step with the systems around it, syncing a deal to your CRM, opening a ticket in your help desk, or updating a finance record when a task closes. Because it runs on a flat subscription rather than a credit pool, the same agent can drive a high-volume workflow all month without the cost moving.

This is where a connected agent earns its place next to AI Studio. The native agents are great for a quick in-Asana action; the connected agent owns the workflow that spans Asana and three other tools. Teams standardizing on this usually pair it with a connected AI agent for Slack for notifications, and if routing work to the right owner is the core job, our page on operations automation covers the assignment and triage patterns in more depth.

Project work touches ownership, deadlines, and sometimes external systems, so the default is cautious. The agent runs low-risk actions on its own, creating a task, drafting a summary, tagging a project, and routes to a person anything that reassigns ownership, moves a deadline on a critical path, or writes to an external system like your CRM or billing tool. You widen what it handles as you watch it work your real projects, one workflow at a time.

Every action the agent takes is logged against the task, so a manager reviewing the project sees a clear trail rather than a mystery change. Every agent listed on the marketplace is reviewed and security-scanned before it goes live, and you can see exactly what it does and which permissions it needs before you connect it to a live Asana workspace. Compare the operations agents side by side in the AI agent store, and read how to vet an AI agent before you grant access.