Asana has told customers exactly how much AI capacity comes with each subscription tier — for one of its two AI billing systems. For the other, it hasn’t published a number at all.
That gap matters more than it might seem. As Asana finishes rolling out a consumption-based pricing model for its AI features, IT and procurement teams are being asked to budget for tools whose costs are only partly explained in public documentation. Understanding exactly where that documentation stops is now a practical requirement for anyone managing an Asana contract.
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What changed, and why it matters now
Asana’s shift to consumption-based AI pricing isn’t a rumor or a future roadmap item — it’s already affecting the company’s own financial guidance. On a September 4, 2026 earnings call, Asana’s finance leadership told analysts that the transition would create a revenue headwind of roughly $1.2 million and pressure gross margins by about 150 basis points in the second half of the year, according to reporting from CFO Dive. The company also confirmed a related but separate change: starting in mid-September 2026, Asana began including a baseline level of AI Teammates and Dash usage inside its existing Agentic Work Management tiers, without changing the sticker price of those tiers, for new and existing customers alike.
That’s an important distinction to hold onto. Folding a “starter allotment” of AI usage into a tier is a packaging decision. It is not the same thing as publishing a quota — and as this article lays out, Asana has done the first without doing the second for a key part of its AI platform.
The legal terms governing all of this also moved recently. Asana’s Product-Specific Terms — the contract addendum that defines how AI billing works — were last updated September 1, 2026, with an effective date of September 16, 2026, superseding a version from August 31, 2026. That’s the version referenced throughout this article.
Two systems, not one
A lot of confusion around Asana’s AI billing comes from treating it as a single “AI credits” system. It isn’t. Asana’s contract terms define two separate mechanisms, and they work differently.
AI Requests power AI Agents — AI Teammates and Asana Dash — as well as AI-generated meeting summaries in Asana’s Meetings feature. AI Studio Credits power AI Studio, Asana’s no-code workflow automation builder. Each has its own definition, its own consumption logic, and its own disclosure level.
| Aspect | AI Request | AI Studio Credit |
|---|---|---|
| Powers | AI Teammates, Dash, Meetings | AI Studio Smart Workflows |
| Consumption basis | Interaction complexity, as determined by Asana | Volume of query, input, and output data processed through the selected model |
| Published tier quota | Not publicly disclosed | Yes — 50,000 / 75,000 / 200,000 credits per month (Starter/Advanced/Enterprise) |
| Failed or errored interactions | Do not consume a unit | Same pooling and expiration rules apply |
| Rollover | None — expires at end of subscription term | None — expires at end of subscription term |
| Transferable between accounts | No | No |
How an AI Request is defined
According to Asana’s Product-Specific Terms, an AI Request is completed whenever an interaction — or a series of interactions — with an AI Agent finishes, with Asana itself determining how complex that interaction was. In other words, Asana decides internally how complex an interaction was and whether it counts as one request or more, rather than applying a published formula.
A few things are clear from the contract language. Interactions that time out, fail, or error don’t consume a request. Requests are pooled at the billing-account level, meaning any user in the organization can draw from the same shared allotment. They refresh monthly, but unused requests expire at the end of the subscription term with no refund or carryover, and they can’t be transferred between accounts. Meetings draws from this same AI Request pool under identical rules. A related but distinct unit, the “AI Resolution,” is consumed instead when Asana’s AI resolves a customer service ticket in Asana Service Management.
What’s missing is any public number. Asana’s pricing page lists AI Teammates as a sales-quoted add-on with no published price, and no tier — Starter, Advanced, or Enterprise — shows a specific monthly AI Request allowance anywhere in the company’s published pricing or terms. If that number exists, it’s disclosed only in individual sales quotes.
How an AI Studio Credit is calculated
AI Studio Credits work on a different, more transparent basis. Per the Product-Specific Terms, credit consumption is calculated from the volume of data — query, input, and output combined — processed through whichever large language model the end user selects for a given Smart Workflow.
Asana’s help documentation — describing the mechanics in more detail — lists four factors that drive how many credits a single workflow run consumes: which model is selected, how much input data is sent to it, how much output it generates, and how often the workflow runs. If a workflow uses web access to search or read external pages, that adds a further credit cost on top of the base calculation. The same documentation describes the underlying math as content volume multiplied by a model-specific multiplier — so a larger input or output, or a more capable model, costs more credits per run.
It’s worth flagging that this description comes from a cached version of Asana’s help article rather than a page this reporting could load directly, and the specific multiplier values Asana assigns to individual models weren’t independently confirmed. The formula and general logic are consistent with what Asana states in its contract terms, but readers modeling exact costs per model should treat the multiplier figures themselves as unconfirmed until Asana publishes them more accessibly.
The numbers Asana does publish
Unlike AI Requests, AI Studio’s included monthly credit pools are stated plainly on Asana’s pricing page, tier by tier:
| Plan | AI Studio Basic credits per month |
|---|---|
| Starter | 50,000 |
| Advanced | 75,000 |
| Enterprise | 200,000 |
Verified vs. reported: The Starter, Advanced, and Enterprise credit quotas above come directly from Asana’s published pricing page. Figures for AI Studio Plus and Pro, the content-times-multiplier credit formula, and the admin usage-alert details later in this article are drawn from cached Asana help documentation and consistent third-party reporting rather than a freshly reconfirmed live source — they should be read as reported, not newly verified.
These figures apply per billing account, not per individual seat — a 5-person Advanced team and a 200-person Advanced team draw from the same 75,000-credit pool each month. That’s a meaningful planning detail: adding seats doesn’t automatically add AI capacity.
AI Studio Plus and Pro: what’s reported versus confirmed
Above the included Basic tier, Asana offers two paid upgrade options. According to Asana’s pricing FAQ, AI Studio Plus is positioned as a paid upgrade for individuals and small teams looking to run more advanced workflows, while AI Studio Pro adds billing controls for organizations scaling more complex operations and is sold only on an annual basis.
Specific numbers for these tiers — commonly cited as 100,000 credits per month for Plus, purchasable in additional 100,000-credit increments with no rollover, and 5 million credits per quarter for Pro — appear consistently in Asana’s own help documentation and across independent commentary. However, this research could only access that help documentation through a cached, non-English version rather than a direct, current fetch of the live English page. The figures are plausible and consistently reported, but they should be treated as reported rather than freshly confirmed on the record.
What happens when you run out
Running out of either AI Requests or AI Studio Credits doesn’t shut down Asana itself — it disables only the AI-dependent feature. If a customer exhausts its AI Request pool and hasn’t purchased more or authorized on-demand charges, features that rely on AI Agents simply stop being available until the balance is replenished. The same applies to AI Studio: when credits run out, Smart Workflows that depend on them stop running.
Asana’s help documentation describes administrative tools for monitoring this in AI Studio specifically: a usage view in the admin console, organized by billing account under Billing, AI Studio, and Usage, that shows consumption by builder and by workflow, including which model was used and how many credits it consumed. That same documentation describes automatic admin warnings at 80% and 100% of the credit limit. As with the multiplier details above, this comes from a cached source rather than a directly verified live page, so the specific refresh cadence and alert thresholds should be treated as reported rather than guaranteed current behavior.
Budgeting takeaways for IT and procurement
For teams trying to plan around this system today, a few things follow directly from what’s confirmed:
Model selection is a real cost lever in AI Studio, even without knowing the exact multiplier numbers. Asana’s own guidance points toward using lighter, less capable models for simple classification or summarization tasks and reserving more capable models for workflows that genuinely need deeper reasoning.
Because both AI Requests and AI Studio Credits are pooled at the account level with no rollover, mid-term seat additions or plan changes should be evaluated against the shared pool’s capacity, not assumed to scale automatically with headcount.
For AI Requests specifically, there is currently no published ceiling to budget against. Organizations relying heavily on AI Teammates or Dash should treat the actual monthly allowance as something to confirm directly with Asana sales, and should plan to monitor consumption rather than plan against an assumed number.
What’s still unknown
Several open questions remain that Asana’s public documentation doesn’t resolve. There is no published, tier-specific numeric quota for AI Requests anywhere in Asana’s pricing page or contract terms. The exact model-by-model multiplier table referenced in Asana’s own help content wasn’t independently locatable in this reporting. And it remains unclear whether the September 2026 change bundling baseline AI Teammates and Dash usage into existing tiers modifies the underlying AI Request mechanism itself, or simply grants a starting allotment within the system already described in Asana’s terms.
Conclusion
What’s verifiable right now is a real asymmetry in how Asana discloses its AI costs. AI Studio Credits come with published tier quotas, a described (if not fully itemized) cost formula, and admin tools for tracking usage. AI Requests, which govern Asana’s more autonomous AI Agents, are defined only as an interaction unit whose complexity Asana determines internally — with no public number attached to any subscription tier.
That doesn’t mean AI Requests are unpredictable in practice, and Asana may well provide clear numbers to customers directly through sales. But for anyone trying to budget from public information alone, the practical answer is that AI Studio can be modeled today, and AI Requests currently cannot — at least not without a quote. Whether that changes as Asana’s consumption-based pricing model matures, and whether the recently announced tier-bundling change comes with a published number down the line, are the things worth watching next.
FAQ
What’s the difference between an Asana AI Request and an AI Studio Credit? An AI Request is a single interaction (or series of interactions) with an AI Agent — AI Teammates, Dash, or Meetings — that Asana scores for complexity internally. An AI Studio Credit is consumed by AI Studio workflows based on the actual volume of data processed through the selected AI model. They are billed and tracked separately.
How many AI Studio credits do Starter, Advanced, and Enterprise plans include? Starter includes 50,000 AI Studio Basic credits per billing account per month, Advanced includes 75,000, and Enterprise includes 200,000, according to Asana’s official pricing page.
How does Asana calculate how many credits a Smart Workflow uses? Based on Asana’s own documentation, credit use depends on the model selected, the volume of input data, the volume of output generated, and how often the workflow runs, with web access adding further cost per execution. The underlying calculation is described as content volume multiplied by a model-specific multiplier.
Does model choice affect AI Studio credit consumption? Yes. More capable models carry a higher multiplier than lighter models, so selecting a heavier model for a simple task consumes more credits than necessary. Asana recommends matching model choice to task complexity.
What happens when my organization runs out of AI Studio credits or AI Requests? Only the AI-dependent feature stops working — AI Studio workflows requiring credits stop running, and AI Agent features requiring requests become unavailable — until more are purchased, on-demand charges are authorized, or the pool refreshes at the next billing cycle.
Do unused AI Requests or AI Studio Credits roll over to the next month? No. Both expire at the end of the current subscription term, with no refund or credit, and cannot be carried forward or transferred between accounts.
How many AI Requests does my Asana plan include? Asana has not published a specific number for any subscription tier. AI Teammates and Dash access is sold as a custom, sales-quoted add-on, so the actual allowance is set through individual sales agreements rather than public pricing documentation.