Asana AI Studio Pricing Explained

Asana AI Studio is priced on credits, not a flat per-user fee. Every paid Asana plan includes a shared monthly credit pool (roughly 50,000 credits on Starter, 75,000 on Advanced, and 200,000 on Enterprise and Enterprise+), and AI Studio Plus adds 100,000 credits for about $135 per account a month billed annually. Credits are consumed by the token volume each model processes, so the same workflow can cost more or less depending on which model runs it. Here is how the pricing works and when it pays off.

What you get for free on a paid plan

AI Studio Basic is included with every paid Asana plan and draws from a shared monthly credit pool per billing account. The included amounts scale with your tier: about 50,000 credits a month on Starter, 75,000 on Advanced, and 200,000 on Enterprise and Enterprise+. That pool covers the in-Asana agents that turn intake forms into tasks, route work, draft status updates, and summarize threads. For a team with occasional automation, the included pool is often enough on its own.

What the paid add-ons cost

• AI Studio Plus. Adds 100,000 credits per account for about $135 a month billed annually, or roughly $150 month to month. More credits are sold in 100,000 increments, and this is a per-account cost, not per user.
• AI Studio Pro. Steps up to millions of credits per quarter for teams running complex, high-volume workflows, with the option to buy larger blocks (for example 2.5 million more for a few hundred dollars).

The structure matters: because the add-on is billed per account rather than per seat, a large team sharing one pool can be efficient, while a team that leans hard on rich models can burn through a pool fast.

How credits are actually spent

Asana describes credits as being derived from the token volume the selected model processes. In plain terms, longer inputs, longer outputs, and more capable models cost more credits. Asana supports both OpenAI and Anthropic models (so GPT-family and Claude-family options), and the credit multiplier varies by model. A short summary on a lightweight model is cheap; a multi-step workflow that reads long documents and runs on a premium model is not. That is the single most important thing to understand: your AI cost moves with model choice and workflow complexity, not with a fixed headcount.

When AI Studio credits are worth it

Credits pay off when your automation is light to moderate and lives inside Asana. If your team turns intake forms into tasks, drafts the occasional status update, and summarizes threads a handful of times a day, you will likely stay within the included pool and get real value for no extra spend. For that pattern, the native agents are the right tool and the credit cost is a non-issue. Keeping an eye on where your software spend is actually going across your stack makes it easy to see whether AI Studio is still comfortably inside its included pool or creeping toward an add-on.

When credits get expensive

The math turns when automation runs constantly, fans out across many tasks, or leans on premium models. Because consumption scales with token volume and model multipliers, a workflow that processes long documents or chains several steps burns credits quickly, and you end up buying 100,000-credit blocks at about $135 each. Rival work platforms meter this differently: ClickUp bills per seat instead, as we cover in ClickUp Brain pricing. There is a second limit that credits cannot fix: AI Studio is scoped to Asana. The moment a workflow needs to write to your CRM, open a help desk ticket, or update a finance record, you are past what the native agents reach, no matter how large your credit pool.

When a flat-rate agent is cheaper

For workflows that run all the time or cross into other systems, a flat subscription usually beats the meter. A connected agent from an AI agents for Asana marketplace runs from about $29 a month regardless of how many tasks it processes or which model it uses, so a heavy month does not change the bill. It connects through the Asana API with scoped access, routes tasks to the right owner, drafts and posts updates, and keeps Asana in step with the tools around it. The two work together: keep AI Studio for light in-Asana actions where credits stay cheap, and add a connected agent for the high-volume, cross-system workflows where a flat rate and broader reach win. Most of that shared work falls under operations automation.

How to decide

Look at your last two months of AI Studio credit usage in Asana. If you are comfortably inside the included pool, credits are worth it, keep using the native agents. If you are buying extra blocks, or the workflows you most want to automate reach into other systems, price a flat-rate connected agent for the same work. For constant, cross-system automation, the flat rate is usually both cheaper and more capable.

The short answer

Asana AI Studio is credit-priced: a shared monthly pool of 50,000 to 200,000 credits included by plan, plus AI Studio Plus at about $135 per account a month for 100,000 more, with credits metered by token volume and model. It is worth it for light in-Asana automation and gets expensive for high-volume, complex, or cross-system work, where a flat-rate connected agent from $29 a month is the better buy. See the trade-off side by side on our AI agents for Asana page.