Best Atlassian Rovo alternatives in 2026: 8 tools I'd actually use

TL;DR

The best Rovo alternative for a Jira Service Management team is eesel: it searches your Confluence pages and Jira live, then works each JSM request itself (replies, internal notes, labels, assignment, transitions) for one flat credit per ticket, with no Atlassian seat attached. For one 1,000-request service desk I priced it at $499/month against roughly $925/month of Rovo overage once Atlassian starts billing credits on December 3, 2026.

If what you want is Rovo's other half, company-wide search, look at Glean (quote-only) or Microsoft 365 Copilot ($30/user/month). ChatGPT and Claude are the cheapest way to get Jira and Confluence into a chat window, but they connect through Atlassian's own Rovo MCP server, so they are Rovo in a different window rather than a way out of it.

Rovo is still the right call for a team that lives entirely in Atlassian and mostly wants search, summaries and definitions, which stay free. The moment you want an AI that clears a queue, answers people in Slack or Teams who have no Atlassian account, or works a non-Atlassian helpdesk too, the alternatives below fit better.

Why are teams looking for Rovo alternatives in 2026?

I build integrations at eesel, including the Jira and Confluence ones, so I spend a lot of time inside Atlassian's APIs and docs. Rovo is good at the thing it was built for. Rovo searches across Jira, Confluence and about 43 third-party apps on Atlassian's connector list, it respects each tool's permissions, and the search inside Atlassian apps costs nothing. A Reddit user put the good version well:

"I use the in-product Rovo chat a lot for fuzzy searches. [...] It's so much easier than trying to figure out the right jql query then sorting through dozens of tickets."

u/dropkickyoass, r/atlassian, Reddit

Three things changed in the last two months, and they explain most of the "Rovo alternatives" searches I see.

1. Credits now cost money. Atlassian published a new credit rate card for usage from August 31, 2026, and announced on September 1 that extra usage billing for Rovo credits takes effect on December 3, 2026. Overage is $0.01 per credit, and extra usage is "enabled by default". A quick Rovo Chat answer or a basic agent is 10 credits. Think Deeper, agents in Jira, Request Resolver and the JSM self-service agent are "Premium" with variable credits. Each paid Jira or Confluence user adds only 25 credits a month on Standard, which is two or three basic agent runs. The community reaction was blunt:

"This is exactly why we did not adopt any Rovo actions in our automation. It could have been a boon, but I knew they were just waiting for some threshold adoption level to update their pricing model. Get 'em hooked, then reel 'em in."

u/Hefty-Possibility625, r/atlassian, Reddit

2. Costs are hard to predict. Premium features have no fixed price per event, and admins are still reverse-engineering the meter. One Jira Cloud admin with 123 users wrote on the Atlassian Community:

"there's no clear published formula for why one call is 7 vs 10, or what specifically pushes it to the max. [...] we noticed a much bigger chunk of credits (2,000+) showing up under a category called "Jira Administration" with no clear feature label, spread across dozens of different users."

Mahanth Prudhvi P, Atlassian Community

3. Agents still need a lot of hand-holding. Rovo agents can create work items and edit pages. In chat, Atlassian's agent tools docs say the agent asks for confirmation before tools that change data. Agents can act without confirming each step when they run from automation rules, but the docs disagree on how far that goes: the tools page still says an agent triggered from automation "can only provide a text response". Assigning a Jira work item to an agent is still marked beta. Users notice:

"there are still a couple of major functional hurdles Atlassian needs to get over with Rovo. Run-as actors in automation being one, ability to consistently execute without human confirmation being another."

u/AnTyx, r/atlassian, Reddit

Answer quality comes up too. The JSM virtual service agent is the one most service teams try first, and one admin reported on the Atlassian Community that "VSA just cannot get it right, even if I give it the exact title of the page, it replied with wrong link". A Reddit thread about building agents had this:

"I also has similar experience. Mixing response from different confluence spaces and giving 'right sounding' but wrong answers."

u/Cultural-Currency-12, r/atlassian, Reddit

To be fair to Rovo, one Reddit user says it has "improved dramatically in the past ~6 months", and another said its output is "only as good as your company data" after their Confluence cleanup made it "amazing". Both are true. Rovo is a strong search layer on top of tidy Atlassian content. It is a weaker fit for clearing a queue, and from December it is a metered one.

How I picked these Rovo alternatives

Most Rovo alternatives lists compare enterprise search tools. That misses half the readers. People searching for a Rovo alternative usually want one of two jobs done:

• Work the queue. An AI that picks up Jira Service Management requests as they arrive, answers from Confluence, and moves the ticket along.
• Find things. Permission-aware search and chat across Jira, Confluence and everything else the company uses.

I scored each tool on five things, all checked on the vendor's own pages on October 27, 2026:

1. Jira and JSM depth: read only, or can it reply, assign, label and transition?
2. Confluence: is it a knowledge source, and can it also write pages?
3. Channels: Slack, Microsoft Teams, email and non-Atlassian helpdesks.
4. Pricing model: per seat, per credit, per ticket, or quote-only, and what that means for one real team.
5. Independence from Rovo: does it still burn Rovo credits under the hood?

Rovo alternatives compared

How much does each Rovo alternative cost for one real team?

Per-seat, per-credit and per-ticket prices can't be compared until they are priced for the same team, so here is one. A 100-person company on Jira and Confluence Standard, with a 10-agent IT service desk on Service Collection Standard, handling 1,000 requests a month.

Rovo. The pooled allowance is 100 x 25 (Jira) + 100 x 25 (Confluence) + 10 x 250 (Service Collection) = 7,500 credits a month, per Atlassian's allowance table. Request Resolver uses 100 credits each time it generates a resolution plan, so planning all 1,000 requests is 100,000 credits. That leaves 92,500 credits of overage at $0.01, or about $925 a month from December 3, 2026, before anyone in the company uses Rovo Chat or an agent from the same pool.

Two honest caveats. The seat-based tools give every employee an assistant for everything, not only the service desk, so they are a different purchase. And if your volume is low, Rovo's allowance may cover you: at 50 requests a month the Request Resolver math above fits inside 7,500 credits. The overage only starts to matter once a queue runs through it every day.

1. eesel

Best for: Jira Service Management teams that want an AI to work the queue, answering from Confluence, across Slack, Teams and other helpdesks.

eesel is the tool I work on, so read this section knowing that. It is an AI teammate you hire for a job, and on Atlassian the job is usually the service desk. You connect Jira and Confluence, and the agent starts from your existing knowledge: Confluence pages, your help center, Google Drive and the rest. It reads Jira live with JQL rather than training on old issues.

What it does with Jira and Confluence

The Jira integration triggers when a JSM issue is created or gets a new comment. From there the agent can:

• Read: get an issue, search issues with JQL, list projects, fields, statuses, transitions and request types, and look up a user.
• Act: reply to the customer, add an internal note, add labels, assign, transition, create an issue and update fields.

The Confluence integration is read only on purpose: live search, get a page, list spaces and list child pages. eesel answers from Confluence. It does not write or edit your pages. It connects with one Atlassian API token and sees what that account can see, so it does not apply each asker's own Confluence permissions. Point it at an account scoped to the spaces you want answered from.

The same agent also works in Slack, Microsoft Teams, email, a website chat bubble, a browser extension, and helpdesks like Zendesk and Freshdesk. Rovo has Slack and Teams apps too, but every asker needs an Atlassian account on a Rovo-enabled site, and public-channel replies need a shared account an admin sets up. With eesel the person asking needs no Atlassian seat. That matters if your company runs JSM for internal IT and a different helpdesk for customers.

In practice, one industrial automation company runs exactly the Rovo-shaped job: engineers ask the technical library directly, the chat answers only from the documents and says so when it has nothing, and every support ticket arrives with an answer already drafted as an internal note. Global Pay uses eesel as its Confluence knowledge expert and reports time savings of 50-80% across compliance, QA and development. And Lesson Pro shows the acting part on Zendesk: 1,900 tickets worked in a month, 1,700 internal notes, 560 drafted replies, plus a scheduled plan posted to Slack every Monday.

Pros

• Works the JSM ticket end to end: reply, internal note, labels, assignment and transition.
• One credit per ticket or chat, however long, so a request that takes ten tool calls costs the same as one that takes two.
• No Atlassian seat needed, for you or for the people asking. Unlimited agents and seats on every plan, one monthly price.
• Same agent in JSM, Slack, Teams, email and non-Atlassian helpdesks.
• You can test it on real questions before it goes live.

Cons

• Confluence is read only. If you want AI to draft and maintain Confluence pages, use Rovo, Glean or Claude for that.
• It sees Confluence through one connected account, not per-user permissions, so you choose what that account can open.
• It is not a company-wide search engine across 50 apps. It answers from the sources you connect for the job.
• It is built for service work, not for engineering features like Rovo's Jira Coding Agent.
• SOC 2 Type II is underway, not finished. Security documents and a DPA are available on request.

Pricing

From eesel's pricing page, checked October 27, 2026:

A ticket or chat is one credit. Every integration, channel, scheduled agent and report is included, and EU or US data residency is on every plan. If you run out, agents pause, or you can turn on overage at $0.80 per credit with a monthly cap you set. Pay a year upfront and you get two months free.

My take: pick eesel if the reason you looked at Rovo was "I want AI to handle our JSM requests". Skip it if you mainly want a company-wide search box, or an AI that writes Confluence pages.

2. Glean

Best for: larger companies that want one permission-aware search and assistant across Atlassian and everything else.

Glean is the closest like-for-like Rovo alternative: search, an assistant and a no-code agent builder across company apps, with the same "users only see what they're allowed to see" promise. Its Jira connector reads issues, comments and custom fields, and can create and edit tickets, comment and add watchers. The Confluence connector can create and update pages, which eesel does not do.

Pros

• Wide connector coverage, with Glean in Slack and Microsoft Teams.
• Writes to Jira and Confluence, including a "Create Request" tool for JSM.
• Strong security list: SOC 2 Type II, ISO 27001, ISO 42001, HIPAA and GDPR on its security page.
• 4.7/5 from 336 reviews on G2.

Cons

• Glean's own docs say JSM request creation "can populate only service desk, request type, summary, and description fields", and every user has to connect their own Jira account.
• Jira actions work on Jira Cloud only; Data Center is search-only.
• It is an employee search and assistant tool. It does not sit on the queue and answer requests as they arrive.

Pricing

Quote-only. Glean's pricing URL shows no plans or prices, just "Get a demo". I break down what is known in my Glean pricing post.

My take: the best pick if you want Rovo's search half without being tied to Atlassian. Expect an enterprise sales cycle, and pair it with a queue agent if JSM is the real pain. More options in Glean alternatives.

3. Microsoft 365 Copilot

Best for: companies that already run on Microsoft 365 and Teams and want Jira and Confluence content inside Copilot.

Microsoft 365 Copilot can pull Jira and Confluence into Copilot, Copilot Search and Teams through two connectors. The Jira Cloud connector indexes issues so people can ask things like "Summarize CP-1234", and the Confluence Cloud connector surfaces pages and blogs with Confluence permissions intact.

Pros

• Jira and Confluence answers show up where Microsoft 365 users already work: Teams, Outlook and SharePoint.
• Connectors double as knowledge for agents built in Copilot Studio.
• Covered by Microsoft's existing GDPR and EU Data Boundary commitments, per Microsoft Learn.

Cons

• The Copilot connectors are read only. Writing to Jira goes through the Power Platform Jira connector, a premium connector in Copilot Studio, and Microsoft notes create-issue "supports only simple field types".
• Jira Cloud only on the main connector.
• Copilot Studio agents bill on a separate credit meter.

Pricing

$30/user/month on an annual subscription for the enterprise add-on. Copilot Business is $21/user/month list ($18 promo through December 31, 2026). Copilot Studio is $200/month per 25,000 Copilot Credits, or pay-as-you-go. See my Copilot pricing breakdown.

My take: a sensible Rovo alternative if Teams is your front door and you mostly want to read Jira and Confluence. Getting it to work JSM tickets means building in Copilot Studio yourself.

4. ChatGPT Business and Enterprise

Best for: teams that want a general assistant that can also read and update Jira and Confluence on request.

ChatGPT Business connects to Atlassian through the Atlassian Rovo app, which Atlassian says can summarize Jira work items and Confluence pages and "create Jira issues directly within ChatGPT", including bulk updates, per its launch post.

Pros

• Familiar interface, and one assistant for writing, analysis and Atlassian lookups.
• Writes respect Jira permissions and land in Atlassian's audit logs.
• SOC 2 Type 2, ISO 27001 and GDPR on OpenAI's trust portal.

Cons

• It runs on Atlassian's Rovo MCP server, and Atlassian bills enriched cross-product calls through that server in Rovo credits. It is not a way off the meter.
• Atlassian's own KB article notes the Company Knowledge path is read only; writes need the dedicated Rovo app.
• No JSM queue workflow. Someone has to ask it.

Pricing

Business is $20/user/month billed annually or $25 monthly, with a two-user minimum. Enterprise is sales-led, with credit- or token-based options. More in my ChatGPT Enterprise post.

My take: great for individuals, not a replacement for a service desk agent. If your team already pays for ChatGPT, turn the Rovo app on and keep an eye on credits.

5. Claude Team and Enterprise

Best for: engineering, product and ops people who want to query and change Jira from a chat window or the terminal.

Claude connects through the Atlassian connector, which is Atlassian's Rovo MCP server. The listed tools include creating, editing and transitioning Jira issues, adding comments, JQL search, and creating and updating Confluence pages. Jira delete and project-admin tools stay off unless an org admin enables them, and every call goes to the audit log.

Pros

• The deepest Jira tool set of the chat assistants, including transitions.
• Works from Claude Code too, with Atlassian skills like /triage-issue.
• SOC 2 Type II, ISO 27001 and ISO 42001 on Anthropic's trust center.

Cons

• Same Rovo MCP caveat as ChatGPT: enriched calls use Rovo credits.
• No JSM request-type or portal tool in the listed tools, and no always-on queue agent.
• HIPAA-ready only on Enterprise, not Team.

Pricing

Team is $20/seat/month billed annually ($25 monthly) for teams of 2 to 150. Enterprise is $20/seat/month annually plus usage at API rates, with a 20-seat minimum. I covered the JSM angle in Claude for Jira Service Management and the docs angle in Claude for Confluence.

My take: my favourite way to work with Jira as an individual. It still is not a service desk teammate.

6. Moveworks (now part of ServiceNow)

Best for: large enterprises with a big IT and HR service footprint and a ServiceNow relationship.

Moveworks is an employee AI assistant for IT, HR and finance requests. ServiceNow's acquisition closed on December 15, 2025, and the pricing page's demo form now routes to a ServiceNow account executive. Its Jira integration can query, create, comment on, resolve and reopen tickets, and its docs cover mapping JSM request types per project.

Pros

• Mature employee-service assistant in Slack, Teams, portals and mobile, in over 100 languages.
• Real ticket actions on Jira and JSM.
• Long security list including SOC 2 Type 2, ISO 27001 and FedRAMP on its security page.

Cons

• Now a ServiceNow product, which is a strategic question for a JSM shop.
• Employee-facing only, not for customer support.
• I could not confirm Confluence as a knowledge source on Moveworks' own pages.

Pricing

Quote-only, "custom quote" per the pricing page. See also Aisera vs Moveworks.

My take: strong for a large enterprise that is open to ServiceNow. Heavy for a team that just wants JSM to answer itself.

7. Atomicwork

Best for: IT teams open to replacing their service desk, or running AI "coworkers" on top of JSM.

Atomicwork sells an AI service desk with "AI Coworkers" and says its AI Workforce "runs on top of ServiceNow or Atlassian JSM". Its Jira integration can search issues and auto-create Jira issues from requests, and its Confluence integration syncs docs every few hours.

Pros

• Slack, Teams, email, voice and portal channels on all plans.
• Broad compliance list including SOC 2, ISO 27001, HIPAA and GDPR on its security page.
• Can overlay JSM with no platform fee.

Cons

• The Professional plan starts at $25,000 a year, billed annually.
• Its homepage leads with a customer replacing JSM, so it is as much a JSM competitor as an add-on.
• Professional caps you at 2 AI Coworkers and 250 end users.

Pricing

Professional from $25,000/year with 25,000 credits and 2 AI Coworkers (extra coworkers $499/month each). Business and Enterprise are custom. The JSM overlay is "talk to sales".

My take: worth a look if you are reconsidering JSM itself. If you want to keep JSM and add AI, it is a big commitment for that job.

8. Guru

Best for: teams whose real problem is trusted, verified internal knowledge, served into Slack, Teams and other AI tools.

Guru calls itself an "AI Knowledge Layer" with verification workflows and an MCP server so other AI tools pull from the same governed knowledge. Its Confluence integration treats Confluence as a search source.

Pros

• Knowledge verification and governance are the core of the product.
• Slack, Teams, browser extension and MCP delivery.
• 4.7/5 from 2,343 reviews on G2.

Cons

• No documented Jira or JSM actions.
• No public price; packages are sold with a strategy team.
• It answers questions. It does not work tickets.

Pricing

Quote-only. Guru's page says it is "not just a per-seat tool". Older per-seat figures you may see elsewhere no longer appear on its site. More in Guru pricing and Guru alternatives.

My take: choose it if knowledge quality is the bottleneck. Pair it with a queue agent if JSM volume is.

I also looked at Notion AI. Its Jira AI connector is beta and read only, and Notion's connector list has no Confluence connector, so it only fits teams planning to move their docs out of Confluence.

When is Rovo still the right choice?

Rovo is the right choice when your team lives in Jira and Confluence and mostly wants to find things. Rovo Search inside Atlassian apps, definitions and summaries are free and keep working after credits run out, so a team that uses those and the occasional chat may never see an overage bill. Rovo also writes Confluence pages, builds slides, and has engineering features like the Jira Coding Agent that none of the service-desk tools here try to match.

The case for switching gets strong in three situations:

• You want the queue worked, not searched. That is a per-ticket job, and Rovo's Premium credits make it the expensive path. See my Rovo agents review for how agents bill.
• Your support spans tools. JSM for IT, another helpdesk for customers, Slack for quick questions. One agent across all of them beats one AI per tool.
• You need a predictable bill. Credits pooled across every app, on by default, with variable-priced Premium features, are hard to budget. A flat per-ticket price is not.

Try eesel on your Jira Service Management queue

If you came here because Rovo is about to put a meter on your service desk, eesel is the alternative I'd point you to. Connect Jira and Confluence, let it answer from your pages, and test it on real questions before it handles a live ticket. It replies, leaves internal notes, labels, assigns and transitions, and it costs one credit per ticket no matter how many steps that takes. The free plan has 100 credits and needs no card, so you can see it work a real JSM request before you pay anything. Try eesel.