Atlassian Intelligence (Jira Service Management)
Level 11: IT Operations, Networking & IT Service Management
Engineering & Operations · Level 11
In short
Atlassian Intelligence (Jira Service Management) is an AI tool in the IT Operations & ITSM category from Atlassian Corporation in Sydney, Australia. The pricing model is paid. It is with a German interface.
What is Atlassian Intelligence (Jira Service Management)?
Atlassian Intelligence is the generative AI capability deeply integrated into the Atlassian Cloud, tailored specifically to enhance Jira Service Management. It helps IT and service teams accelerate ticket resolution, automate routine requests, and streamline internal support workflows. By combining generative AI models with the Atlassian Team Work Graph, the system contextualizes organization-specific data to deliver relevant assistance.
Core capabilities within Jira Service Management include a virtual service agent capable of autonomously resolving frequent requests across channels like Slack and Microsoft Teams. For human support agents, the AI provides instant summaries of long incident threads and drafts polished responses based on internal knowledge base articles. Additionally, agents can effortlessly generate new documentation from resolved issues to expand the knowledge base.
System interactions are simplified through natural language processing, allowing users to query complex service data or construct Jira Query Language (JQL) queries without needing syntax expertise. Atlassian prioritizes enterprise data privacy, ensuring that customer inputs and project data are never used to train public AI models and remain protected within the Atlassian Cloud security boundary.
Core features & strengths
- Virtual Service Agent — Delivers automated tier-1 support directly in conversational channels such as Slack and Microsoft Teams. The agent leverages knowledge base content to resolve user requests instantly without human intervention.
- AI Summaries & Draft Responses — Assists service desk agents by summarizing lengthy ticket histories and conversation threads instantly. It also drafts context-aware responses and solution notes based on existing documentation.
- Natural Language to JQL Search — Enables users to search across projects and assets using plain everyday language. The AI automatically converts natural queries into accurate Jira Query Language (JQL) to locate specific issues rapidly.
Who is this tool for?
IT operations, customer support, and internal service desk teams utilizing Jira Service Management Cloud on Premium or Enterprise tiers. It is ideal for organizations seeking to scale their support capabilities efficiently through AI-driven automation.
Typical use case
An IT helpdesk receives dozens of repetitive access requests and software troubleshooting tickets every day. By deploying the Atlassian Intelligence virtual agent in Slack, users receive immediate, automated guidance drawn directly from Confluence knowledge articles. When escalation to a human agent is required, the AI summarizes the entire conversation history and suggests an optimal response draft. This reduces first-response times significantly and frees up IT personnel to handle high-priority technical incidents.
What is Atlassian Intelligence (Jira Service Management) good for?
- IT operations, customer support, and internal service desk teams utilizing Jira Service Management Cloud on Premium or Enterprise tiers. It is ideal for organizations seeking to scale their support capabilities efficiently through AI-driven automation.
- An IT helpdesk receives dozens of repetitive access requests and software troubleshooting tickets every day.
- Virtual Service Agent: Delivers automated tier-1 support directly in conversational channels such as Slack and Microsoft Teams. The agent leverages knowledge base content to resolve user requests instantly without human intervention.
- AI Summaries & Draft Responses: Assists service desk agents by summarizing lengthy ticket histories and conversation threads instantly. It also drafts context-aware responses and solution notes based on existing documentation.
- Natural Language to JQL Search: Enables users to search across projects and assets using plain everyday language. The AI automatically converts natural queries into accurate Jira Query Language (JQL) to locate specific issues rapidly.
When a different tool fits better
Not applicable for organizations running self-managed Jira Data Center environments, as Atlassian Intelligence is strictly cloud-based. Furthermore, teams on Free or Standard plans cannot access these features, as they require Premium or Enterprise subscriptions.
Pricing & plans
Plans in detail
- StandardNot includedNot includedN/A
- Not available
- Requires upgrade to Premium/Enterprise
- Premium / EnterpriseContact salesContact salesper user/month
- AI-powered summaries
- Automated ticket classification
Good to know
- Requires a paid subscription (Premium or Enterprise) of Jira Service Management.
- Free trials for Atlassian Intelligence are available for existing cloud instances.
- No permanent free tier for AI features.
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Prompts and connected Atlassian Cloud content are processed through Atlassian's cloud platform and contracted AI subprocessors; storage location and governing jurisdiction depend on the contract region, data-residency settings, and documented data flows, and international transfers may occur.
Training on your inputs: Atlassian states that customer inputs and outputs are not used to train generative AI models and that its model providers are prohibited from doing so, so a training opt-out is generally unnecessary.
For companies: Organizations should use an appropriate paid Cloud plan, execute or review Atlassian's DPA and subprocessor list, and configure required data-residency and AI-access controls.
Practical advice: Enter only approved business content and avoid secrets, credentials, unnecessary personal data, or highly sensitive data unless the contract, legal basis, and internal policies explicitly permit it.
- DPA:
- Data Processing Agreement: contractually binds the provider to process your data only on your instructions. Usually mandatory for companies.
- SOC 2:
- Independently audited security report (access control, availability, confidentiality) — not a privacy seal, but a sign of professional IT security.
- Opt-out:
- Training on your data is on by default; you have to switch it off yourself in the settings.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
Privacy data checked on 31/07/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | Atlassian Corporation |
|---|---|
| Headquarters | Sydney, Australia |
| Category | IT Operations & ITSM |
| Pyramid level | Level 11 – IT Operations, Networking & IT Service Management |
| Pricing model | Paid |
| Free forever option | No |
| Open Source | No |
| Entry plan | Standard: Not included (Not included) |
| German | interface and content |
| English | interface and content |
| Additional languages | 17 |
| Privacy classification | Unclear |
| Data processing agreement | Organizations should use an appropriate paid Cloud plan, execute or review Atlassian's DPA and subprocessor list, and configure required data-residency and AI-access controls. |
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