Atlassian AI Costs: Where Your Rovo Credits Really Go

Atlassian AI costs are measured in Rovo credits. Every paid Jira, Confluence and collection plan includes a monthly credit allowance, and from December 3, 2026, usage beyond it costs $0.01 per credit. Those credits are spent in five places: chat messages, premium reasoning, agents that run on their own, service desk AI and outside AI tools that read your Atlassian data. Only chat is visible to the person using it. To keep the bill predictable, you need to see which of the five is growing, give each one an owner and check them once a month.

Key takeaways

• Most Atlassian AI costs come from a small number of users, agents and features, not from everyone equally.
• Agents inside automations run whether or not anyone reads the result. Usage at night and at weekends is the quickest way to find them.
• Atlassian has no per-user credit cap yet. Your controls are app access, agent settings and a monthly spending limit.
• In an Atlassian survey, 49% of AI users didn’t know, or weren’t sure, what their company pays for AI. Alerts that only reach admins rarely change how people work.
• A 30-minute monthly review with four named owners keeps costs in check without taking AI away from teams.

Why trust this guide: Empyra is an Atlassian Platinum Solution Partner with 15+ years of Atlassian experience, 80+ certified consultants and 1,000+ customers, including Rakuten, Victoria’s Secret, Houston Community College, Sally Beauty and UC Office of the President. This guide reflects the ownership and review model we set up when customers move to usage-based Atlassian billing.

If you want the full rate card first, start with our guide to how Rovo pricing and credits work. This post picks up from there: where the credits go once people start using Rovo, and who should keep an eye on them.

Where your Rovo credits go: the five sources

Every credit your organization uses comes from one of five sources. Each one grows for a different reason, so each needs a different owner. Matching sources to owners is where Atlassian AI governance starts for cost.

This post doesn't repeat what each source costs per use. That's in our Rovo pricing guide and on Atlassian's Rovo credits rate card (checked [DATE YOU LAST CHECKED]). Here the focus is why each source grows and who can control it.

1. Chat messages

This is the cost people notice, because they see every message they send. It's rarely the biggest source. It's spread thinly across everyone, so no single setting fixes it. Habits do, and we cover them at the end of this post.

2. Premium reasoning

These modes cost more per use than chat. A few people using them every day can outspend the rest of the organization. That can be the right call if they get the most value from AI. What matters is that you know it's happening.

3. Rovo agents running on their own

This is where Rovo agent costs hide. An agent inside an automation rule runs every time the rule fires, even if no one reads the answer. Each agent is set to one of two reasoning levels: Quick answers, which stops after 10 reasoning loops, or Think deeper, which can run up to 60. Atlassian warns that agents running on their own or at high volume "can quickly consume credits" and asks builders to choose the level carefully. Make that choice when the agent is designed, not after the first invoice. If you're planning a Rovo agent implementation, agree on the reasoning level for each agent up front.

The rule around the agent also uses automation steps (see our guide to Jira automation pricing). A busy rule with an agent inside it costs you on two meters.

4. Service desk AI

Request Resolver, Alert Intelligence, the Self-service Agent and routing work per request, so the cost follows ticket volume. A quiet month and a month with a major incident can use very different amounts with the same team. Forecast this source from your ticket numbers and track it on its own line. If you're planning which of these features to switch on, our Jira Service Management consulting team can help you weigh the time saved against the credits used.

5. Outside AI tools

People can connect Claude, ChatGPT or other AI tools to Jira and Confluence through the Atlassian Rovo MCP server. It's a connector that lets those tools read and update your Atlassian data. Single lookups are free, but searches across products draw on the Atlassian Teamwork Graph, the layer that connects your Atlassian data, and use credits. A coding assistant can make dozens of these calls for one task, and none of it appears in anyone's Rovo chat history.

Two costs outside the five sources: Rovo Dev has its own budget line. Rovo Standard gives Rovo to people without a Jira or Confluence seat. Once its beta ends, the paid plan costs USD 5 per user per month for organizations that opt in.

How to track Rovo credit usage: four questions for your data

Knowing the five sources only helps if you can see which one is growing in your organization. Your usage is in Atlassian Administration under Insights → Platform usage → Rovo credits, and you can export the detail as a spreadsheet. You don't need to read every row. Four questions will point you to the few choices behind most of the bill.

1. Is the bill driven by choices or by volume? Sort by feature. If Think deeper, Deep research or agents are at the top, a few decisions drive your cost, and decisions are easy to change. If Basic chat is at the top, it's volume, and habits matter more.

2. Who should you talk to? Sort users by credits. If 10% of your users account for most of the total, talking to those few people will do more than an email to the whole company.

3. Which agents cost the most? Group by agent. An agent with high credits but few real users should move to Quick answers, run less often or be switched off.

4. What runs when nobody is working? Filter for nights and weekends. People don't chat with Rovo at 3 a.m. on a Sunday, but agents and automations do. This is the fastest way to find source 3.

Agent owners have a second view. In Rovo Studio, each agent has an Insights page, currently in beta, that shows average daily users and total conversations, including conversations started by automations. Compare that with the agent's credits in your export, and you'll see which agents are worth what they cost.

Who should own Atlassian AI costs

Data on its own changes nothing. Someone has to act on it, and in most organizations no one has been asked to. Atlassian's own research shows the gap. In an October 2026 Teamwork Lab survey of more than 1,000 U.S. knowledge workers, 49% of AI users didn't know, or weren't sure, what their company pays for its AI tools. 67% of leaders could see AI spend, against 37% of managers and 22% of individual contributors (Atlassian, The smartest way to cut AI costs isn't to use less AI).

Atlassian's usage alerts go to organization and billing admins. They can change settings, but they can't change how a marketing team uses Think deeper. Cost is one part of Atlassian AI governance, alongside security and data access. It works best when each of the five sources has an owner who can act on it.

Finance has one more reason to be involved. Rovo credits appear on the same invoice as your seats, so AI usage, seat counts and plan choices are now one decision. So AI usage belongs in your regular Atlassian license reviews, not in a separate budget.

Atlassian AI cost management: the controls you have, and the one you don't yet

Each owner needs something to act with. These are the settings available today, and the source each one affects.

• Check whether extra usage is on (all sources). In Atlassian Administration, go to Billing → Subscriptions → Rovo credits and open the ⋯ menu. If it offers Enable extra usage, you're capped at your allowance and won't be charged more. If it offers Disable extra usage, overage billing is on (Understanding the Rovo credits "Enable extra usage" setting).

• Set a monthly extra usage limit (all sources). From the same page, or from Insights → Platform usage, choose Update extra usage limit. Once the limit is reached, Rovo features that use credits pause until the allowance resets. If you set the limit below the extra usage you've already used that month, they pause straight away.

• Block Rovo in specific apps (sources 1, 2 and 4). Under AI and Rovo → Access, admins can turn Rovo off app by app. In Jira-family apps, Search, Chat and Create with Rovo stay on while any Jira app on the site still has Rovo (Manage Rovo access).

• Allow or block by user group, Enterprise only (sources 1 and 2). Atlassian is rolling out a new Enterprise access screen that controls Rovo by user group as well as by app.

• Decide who can create agents (source 3). By default, anyone can build an agent in Rovo Studio. Studio admins can limit this to up to 10 groups, or to admins only. Agents with restricted access also disappear from automation options for people who can't see them.

• Set each agent's reasoning level (source 3). Use Quick answers for triage, routing and lookups. Keep Think deeper for agents that have to analyze.

Not available yet: per-user caps. Atlassian lists this as coming soon. Until then, owners and habits have to do the job a cap would.

If Rovo isn't rolled out widely yet, this is the best time to set these controls. An Atlassian AI readiness assessment checks permissions, governance and cost settings before usage grows.

Want help setting these up? Empyra reviews your Rovo usage, adjusts your agents and sets limits and alerts in Atlassian Administration for you. Book a free Rovo usage review

A 30-minute monthly review for Atlassian AI costs

Controls drift unless someone checks them. This review brings the owners, the data and the controls together once a month. Run it in the last week of each billing cycle, so any change takes effect before the next invoice. If no one in-house has the time, it can run as part of Atlassian managed services.

For step 7, base the decision on your own numbers. Our method for working out how many Rovo credits per user your team needs turns your export into a forecast. For a quick first estimate by team size, use the Rovo credits calculator. If the numbers point to a bigger plan, look at whether Teamwork Collection fits your teams.

How to reduce Atlassian AI costs without cutting AI

Most follow-up actions from the review come down to habits. Atlassian's survey found that people credit the tool and the context they give it far more than the AI model for making AI worth the cost. In practice, that looks like this:

Start with Search and Summaries. They're free, so try them before opening a chat.

Ask one complete question. A clear first question costs less than five follow-ups.

Pick the mode on purpose. Quick answers for lookups and status checks. Think deeper or Deep research for questions that need them.

Match each agent to its job. Quick answers for triage and routing agents. Think deeper only where the agent has to analyze.

Show teams their own numbers. A monthly line per team does more than an alert only admins see.

Habits stick faster when people are shown them in their own tools. A short session on choosing the right mode can be added to your Atlassian training plan for Rovo users.

Make Atlassian AI costs predictable

Good Atlassian AI cost management doesn't need strict limits that slow teams down. It needs visibility into the five sources, a named owner for each and 30 minutes a month to act on the numbers.

If you'd like help, our Atlassian usage optimization services team breaks down your Rovo usage by team, agent and feature. We adjust your agents, set your limits and hand over a monthly review your team can run. For wider questions about rolling out Rovo safely, talk to our Atlassian AI consulting team.