Is rovo really usable for any enterprise ?

[Martin Poirier]

Hello,

We are currently evaluating Atlassian Rovo as part of our Data Center to Cloud migration. We are concerned about the sustainability of the usage-based credit model at an enterprise scale. Atlassian has been been pushing moving to cloud to use Rovo everywhere but here are some examples that are very limited.

We have currenctly 31500 credits for 15k users

Automation with rovo can bust your credit quickly

- An automation rovo to automatea component and labels selection with custom agent in test for 1 day with 1 person took 3000 credits already

Action Type	Example	Credits per Execution
Basic	Add label on issue creation	0
Simple	Extract keywords from summary and add as labels	10
Deep	Generate root cause analysis from all fields and attachments	100

250000 credit just for one automation

• Credit by execution : 10
• Total credits/month: 25000 (execution conservative for us, more on data center currently) x 10 = 250,000 credits

Deep searches are totally unusable on big sites

• Example : calculate a number field by platform field, 100 issues take about 10 minutes, 1000 issues never finish.  Our needs are easily more than 10k+.

Other AI does not charge for internal product simple chat

We have Microsoft copilot enterprise has no credit limit on internal microsoft app for chat with where rovo use credit for everything even their own app.    https://learn.microsoft.com/en-us/microsoft-copilot-studio/requirements-messages-management

In conclusion, we are not sure if pushing Rovo internally will be solution for us, since there's no clear direction on how we can stop the usage of Rovo on a site, an automation, or simple chat by users that can directly bust your montly credit for the whole enterprise in basicly 5 minutes.

Martin Poirier

Ubisoft

[Rebekka Heilmann (viadee) · Accepted solution]

Hi @Martin Poirier 

as of today, there are still not enough details on how the credits will end up working out. They only just started calculating and showing the credit usage per site. I believe that the current model will change before they actually start enforcing the limits.

I am seeing similar concerns with my Enterprise customers and we are trying to push for information from CSMs and Account team asap.

Just a note on your deep research example: Calculating fields is nothing I'd let Rovo do. Anytime you need accurate results and the calculations are known beforehand, GenAI is not the way to go.

[Dr Valeri Colon _Connect Centric_]

@Martin Poirier This is a fair concern, and you’re not alone—Rovo’s current credit model is still maturing for large enterprises. To add to @Rebekka Heilmann _viadee_ point, today Rovo is best suited for targeted, high-value use cases, not broad “AI everywhere” rollout. Automations, deep analysis, and large-batch queries can consume credits quickly, so most enterprises limit Rovo to scoped agents, specific teams, or curated workflows. There’s currently no global hard stop per automation or per user, which makes governance essential. Atlassian has acknowledged this gap and is actively iterating on controls, analytics, and guardrails, but at present, Rovo requires intentional enablement—not blanket adoption—to be sustainable at scale.

[Nicolas Bourdages _Ubisoft_]

It looks like it would be very easy to exceed available budgets, and there are no clear guardrails to limit credit spending per user or per group. It's nearly impossible to correlate AI credit spending with specific automations, Agents or users. I don't know how we, as admins, would be able to properly monitor usage, keep spending under control and identify problematic implementations.

If we can't leaving our users free to explore and come up with AI-powered solutions to the problems they have without risking them racking up large AI bills, what would be the point to even let them use Rovo?