Asana's AI is no longer a single feature. Its pricing page now lists AI Teammates and Asana Dash on every paid plan, metered in requests, and AI Studio, a no-code builder for AI workflows, metered in credits. The two pools are separate, they scale differently with team size, and only one of them has a published overage price. If you are budgeting AI on Asana, or comparing it with an alternative, you need to understand both.
1. Requests: AI Teammates and Dash
Asana describes AI Teammates as more than 30 prebuilt agents for marketing, ops and IT, and Asana Dash as an AI chief of staff that routes work to the right Teammate. Its FAQ defines an AI request as one successful unit of work executed by AI Teammates or Asana Dash, which share a single pool. Each paid plan includes 5 requests per user a month, capped at 50 per account on Starter and Advanced and at 250 on Enterprise. The cap is the number that matters: past 10 users on Starter or Advanced, adding people adds nothing to the pool.
2. Overage, Alerts and Caps
When the pool is not enough, Asana offers on-demand billing at $0.60 per request, billed monthly in arrears, or prepaid packs at $0.50 per request. For monthly customers packs expire at the end of the month; annual customers can use them across the contract term. Alerts fire at 65%, 85% and 100% of the allotment, and admins can set a spending cap on on-demand billing. Asana's AI page also promises a live usage dashboard and spend limits.
3. Credits: AI Studio
AI Studio is a separate allowance: 50K credits per billing account a month on Starter, 75K on Advanced and 200K on Enterprise. Its own page describes it as no-code automations for intake, routing and approvals, available on Starter, Advanced, Enterprise and Enterprise+, in Basic, Plus and Pro tiers, and says an admin must enable it in the admin console. Neither page we read defines what one AI Studio credit buys, so there is no published way to turn the allowance into a number of workflow runs. Ask your account team before you build on it.
4. What Asana Says About Data and Models
Asana says its AI runs on the permissions a user already has, that it is powered by large language models from partners including OpenAI and Anthropic, and that those partners do not use customer data to train their models and must delete it after each query. Asana chooses the model for each task; users do not.
5. Comparing It With One Currency
Other tools price AI as one pooled credit balance. ClickUp's newer price set includes pooled AI credits on every plan, and monday work management includes 1,000 to 3,000 AI credits a month by plan. Kavanah meters every AI action in credits worth about a cent each, at the price of the model that actually ran. A typical agent reply on the default model costs about 70 credits, the median Kavanah measures in production. Seat plans include 100 or 250 credits per seat a month, pooled across the workspace with no per-account cap, and Pay as you go has no seat fee at all. In Kavanah, anything that runs on its own or spends credits is off until you turn it on, and risky actions can be made to wait for a person's approval.
Asana's AI is capable, but its allowance is two pools with different rules, and the one that scales with your team stops scaling at 50 requests below Enterprise. For how Asana, ClickUp, monday work management and Kavanah compare on AI and everything else, see our Asana alternative page.
