Atlassian CorpTEAM

Atlassian has embedded AI capabilities across its platform and offers interconnected portfolio of AI agents.

“Our deeply interconnected portfolio of apps, AI agents, and Collections, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership and business teams. As an AI-first company, we have embedded AI capabilities across every surface of our platform, enabling organizations to orchestrate work effectively across both human and AI teammates. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, context, and workflows throughout an organization.”

Atlassian Cloud Platform underpins its apps, agents, and enables AI capabilities.

“The Atlassian Cloud Platform underpins our cloud app portfolio, allowing us to provide unified experiences, standardized data, and common enterprise infrastructure across all apps, agents, and teams. It is designed to break down information silos with cross-product experiences and flexible integrations, and ensures that data remains secure, compliant, private, and available with enterprise-grade centralized admin visibility and controls. It enables modern and connected experiences across teams, tools, workflows, and data, including capabilities like AI, search, and automation. The comprehensive data model, or Teamwork Graph, unifies and standardizes data across Atlassian apps, third-party tools, and teams, providing the rich organizational context that powers AI agents and cross-product workflows.”

Atlassian Teamwork Graph provides organizational context that powers AI agents built by Atlassian or others.

“This organizational context is a critical enabler for effective AI agents and automated workflows. As AI models become increasingly commoditized, the quality of the context they operate on determines the quality of their output. The Teamwork Graph provides AI agents, whether built by Atlassian, our users, our customers, or third parties, with the relationship-aware enterprise context they need to produce accurate, relevant, and actionable results. Unlike general-purpose data repositories, the Teamwork Graph captures how people, projects, goals, and decisions connect to one another within and across teams, giving agents the ability to traverse established relationships rather than discover them from scratch.”

Atlassian Rovo AI agent can be assigned tickets in Jira Service Management to diagnose and resolve issues autonomously.

“items assigned on a Confluence page, which each owner can use to seamlessly create tasks requesting assets from a Product Design team in Jira, allowing teams to go from ideas to action quickly. A Rovo agent can be assigned a service ticket in Jira Service Management, draw on connected knowledge from Confluence to diagnose the issue, and resolve it autonomously – or a third-party coding agent can receive a development task in Jira, implement the changes, and submit them for review in Bitbucket, with the full activity captured alongside the team’s work history. These same integration pathways extend to AI agents, which can participate in workflows alongside human teammates – for example, an agent assigned a task in Jira can draw on connected context from Confluence, Loom, and third-party tools to complete its work within the governed workflow.”

Atlassian shifted to vision of apps, AI agents, and Collections built on its Cloud Platform.

“In recent years, we shifted from stand-alone products to a vision of apps, AI agents, and Collections. This shift represents a move from isolated, single-purpose software to integrated, modular solutions that can be adopted together through curated Collections built on the Atlassian Cloud Platform. This approach enables customers to start with the capabilities they need, expand into broader connected workflows over time, and adopt AI-driven collaboration through Collections that combine apps, agents, data, and platform services into cohesive solutions.”

Atlassian Service Collection uses AI agents to deflect questions and accelerate resolutions.

“• Service Collection, which includes Jira Service Management, Customer Service Management, Assets, and Rovo, combines internal IT and employee service management with external customer support in a single AI-powered offering. It helps organizations intake, triage, and fulfill requests from employees and customers, detect and resolve incidents, track and manage assets, and use AI agents to deflect common questions and accelerate resolutions – delivering end-to-end service experiences across IT, HR, and customer support teams.”

Atlassian CEO says Teamwork Graph helps customers orchestrate agentic workflows with context.

““Q4 closes out a year that proves our long-term strategy is paying off. Total revenue grew 28% year-over-year to $1.8 billion, Cloud revenue growth accelerated to 31% year-over-year, and our MCP server and Teamwork Graph CLI surpassed one million monthly active users, more than doubling in a single quarter,” said Mike Cannon‑Brookes, Atlassian’s CEO and co‑Founder. “In the AI era, context is the edge but it's hard to build and can't be hired. Thanks to 25 years of connecting teams, customers get one of the best context graphs for orchestrating agentic workflows. Simply put, the Teamwork Graph helps every customer get better, faster, and cheaper results with AI.””

Atlassian released new agentic development capabilities in Jira for the software development lifecycle.

“• AI-Native Software Development Lifecycle: Atlassian released new agentic development capabilities in Jira that help teams orchestrate and scale agentic work across the full software development lifecycle. With new AI capabilities, engineers can turn intent into agent-ready specs, assign work to coding agents, monitor sessions, automate engineering loops, and measure AI cost against output.”

Atlassian recognized as leader for conversational AI platform with Rovo offering AI agents for IT and HR.

“• A Leader in The Forrester Wave™: Conversational AI Platforms for Employee Services, Q3 2026: Atlassian was recognized as a Leader in The Forrester Wave: Conversational AI Platforms for Employee Services, Q3 2026, evaluated on its Service Collection powered by Rovo. Atlassian stands out for its context capabilities through its differentiated Teamwork Graph and offers AI agents for IT, HR, and beyond – embedding Rovo directly into the key surfaces where employees already work. Atlassian believes this recognition reflects its commitment and momentum in service management, and how fundamental investments in the platform and AI further our mission to unleash the power of every team.”

Atlassian MCP server and Teamwork Graph CLI reached 1 million MAU enabling connection of any AI agent.

“• MCP Server and Teamwork Graph CLI Crosses 1 million MAU: Atlassian's MCP server and Teamwork Graph CLI hit 1 million MAU, making it the fastest-growing integration surface in company history. These tools provide customers a secure, permissioned way to connect any AI agent - from Claude to Cursor to ChatGPT - directly to their work across Atlassian and third-party tools, grounding those agents in the Teamwork Graph so they deliver more accurate, context-rich answers wherever teams already work.”

Atlassian reports customers deploy 2x more active agents and increased agentic automations nearly 3x.

“Q4 FY26 3 3. System of Work Customers like Warner Bros, Xero, and a leading AI chip manufacturer upgraded to Teamwork Collection this quarter, and top enterprises like Adobe and Google Cloud continue to deepen their commitment to the Atlassian platform to power their System of Work. • Teamwork Collection has been a massive success in its inaugural year in the market, outperforming our expectations. It’s driving broader platform adoption, greater customer value, and in return - higher ARPU. • Teamwork Collection customers continue to use >2x more AI credits per user and deploy 2x more active agents than standalone customers. • Service Collection revenue growth accelerated with customers deploying more AI-powered service desks. Agentic automations in Service Collection have increased nearly 3x over the past 6 months. 4. Driving durable, profitable growth Our financial discipline gives us the runway to self-fund further investment in AI and enterprise sales, while accelerating our path to sustained GAAP profitability. • In Q4, we delivered GAAP profitability, and GAAP operating margin of 12%. These results didn't happen by chance. Through all the near-term noise we have remained focused on building for the long term. The years of investment we’ve made in our platform have given us two structural advantages that will define Atlassian's value in the AI era: the System of Work and the Teamwork Graph.”

Atlassian added agents in Jira, support for Claude and Cursor, Jira Coding Agent, and Agent Sessions.

“Q4 FY26 7 The innovation beat doesn’t stop Last quarter, we talked about the incredible innovation across our Service Collection. This quarter, we’re highlighting how the Teamwork Graph is powering a wave of new capabilities in Jira, designed to meet teams where they work in an increasingly agent-driven world. Agents in Jira: Teams can now assign tasks directly to AI agents inside Jira, with full access to goals, decisions, comment history, and more from the Atlassian Teamwork Graph. Jira becomes the control plane and teams always know who's doing what, why, and when. Claude and Cursor in Jira: Assign a Jira issue to Claude or Cursor and the agent reads it, accesses the repo, and opens a draft PR, all within Jira's permissions and audit trail. Jira automations can trigger this automatically, with no manual handoff required. Jira Coding Agent: Powered by frontier models, the Jira Coding Agent uses the Atlassian Teamwork Graph’s enterprise context and code intelligence to turn work items into ready-to-review pull requests, allowing rapid fixes and workflows within Jira without requiring local environment setup. Jira Cloud for Slack: The new @Jira agent turns Slack conversations into context-rich work items, assigns tasks, and syncs threads as comments, without leaving Slack. Agent Sessions in Jira: As teams run more agents, tracking what each one did, what's blocked, and what needs review becomes its own coordination problem. Agent Sessions surfaces all agent activity in a sing”

Customer quotes describe using Atlassian tools to orchestrate and embed AI agents in workflows.

“Q4 FY26 System of Work Words from our customers The question we're asking isn't how do we get engineers to use more AI. It's how do we build a system where humans and agents are working from the same context, toward the same goals. Assigning work directly to Cursor from Jira, with all that rich context, is a meaningful step towards orchestrating agents effectively at scale.” Jason Andrews Vice President of Strategy & Planning - Engineering Operations Cisco Atlassian's System of Work gives us the foundation to move from AI adjacent—bolting tools on at the edges—to AI native, where agents are embedded in the workflows that actually run the business.” Matthew Hargreaves Head of Product Delivery and Automation Lendi We were able to grow Atlassian from an IT tool to be an essential audited enterprise tool with both business and IT usage in less than two years by using Atlassian to solve problems across our enterprise driven by the Teamwork Collection.” Emery Jordan Program Manager, Technology Initiatives Wendy’s Jira is directly empowering Xometry's transformation from AI-assisted SDLC to a fully agentic SDLC: people set intent and govern outcomes; agents own the execution path between them. Jira is the backbone for our AI-native transition - enabling consistent observability and handoff between people and agents.” Jeff Arbor Director, Technical Operations & Program Management Xometry 9 “ “ “ “”

Atlassian closed FY26 with momentum across Enterprise, AI, and System of Work priorities.

“Q4 FY26 13 A reconciliation of GAAP to non-GAAP measures is provided within the tables at the end of this letter, in our earnings press release, and on our Investor Relations website. James Chuong Chief Financial Officer Financial highlights All growth comparisons below relate to the corresponding period of last year, unless otherwise noted. ,F I I I F AJ C P I AE E A C J IP G PFL O O CTACMP MCN OF NC P MCNAC P ECO I 0FE J E E % ,AJ C I E E % ' ' - 3 I J C J CRC C -,, , ). ) , -( ) . ( ) 6NLOO NEG ) ( % :MCN PG E NEG % % % ( 9CP G AL C LOO ) -, () ) ) .(. ( , ,.- 9CP G AL C LOO MCN OF NC $ G PC % % %( % . 2 OF D LS DNL LMCN PGL O - )- ) ) ) ) , ) ) FE - 3 I J C J 6NLOO NEG ( ( % :MCN PG E NEG ) % % 9CP G AL C -) )( ( ) (, ( ( - 9CP G AL C MCN OF NC $ G PC %.- % . %. )%,. 5NCC A OF D LS - , ) ), ) . ) - ) I 0FE J E E % ,AJ C I E E % ' ' - 3 I J C J CRC C -,, ). , -( ( 6NLOO NEG ) ( % :MCN PG E NEG % % % ( 9CP G AL C LOO ) ( ( - 9CP G AL C LOO MCN OF NC $ G PC % % %( % . 2 OF D LS DNL LMCN PGL O - )- ) ) , FE - 3 I J C J OANGMPGL 1 , , , ).( , , , ).( 6NLOO NEG ( ( % :MCN PG E NEG ) % % 9CP G AL C -) ( (, -, 9CP G AL C MCN OF NC $ G PC %.- % . %. )%,. 5NCC A OF D LS - ), ) , . Fourth quarter fiscal year 2026 highlights We closed FY26 with strong momentum across our strategic priorities: Enterprise, AI, and the System of Work. The breadth and depth of our platform continues to drive broad-based customer demand, as organizations of all sizes turn to Atlassian to help them unlock ”

Agentic automations in Jira Service Management have more than tripled in six months.

“Q4 FY26 • Subscription ARR increased 23% y/y, highlighting our business momentum as customers expand their footprint across our platform, entrusting Atlassian as their long-term strategic partner to unlock the full value of AI through our comprehensive System of Work and the differentiated context of the Teamwork Graph to power their agents and teams. Customers are broadening adoption of our System of Work. Our platform powers hundreds of millions of workflows each month across millions of users, the majority of whom are knowledge workers. As customers adopt AI, the need for planning, tracking, and collaboration is accelerating - they’re adding more teams and users across Jira and Confluence, expanding Atlassian’s reach beyond software, spanning across business teams, including HR, finance, marketing, and legal. Collections adoption also increased: Service Collection growth accelerated in Q4, while Teamwork Collection continued to grow rapidly and drive ARPU uplift. AI is increasing the value of our platform. The Teamwork Graph provides the context enterprises need to coordinate work across humans and agents – delivering high-value business outcomes for our customers – with greater efficiency, effectiveness, and speed. Agentic automations in Jira Service Management have more than tripled in six months as customers deploy agents for help desk resolution, HR service, incident investigation, and more. Customers are upgrading to Teamwork Collection for additional Rovo credits and”

Atlassian offers a portfolio of interconnected apps, AI agents and products.

“Atlassian Corporation (the “Company”) is a global technology company with a mission to unleash the potential of every team. The Company’s team collaboration software enables organizations to connect all teams through a system of work that unlocks productivity at scale. The Company’s portfolio of interconnected apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. Atlassian puts AI at the center of the Company’s portfolio to enhance teamwork for users across apps and Collections, a carefully curated set of apps and agents designed to solve complex tasks. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian offers a portfolio of interconnected apps, AI agents and products.

“Our deeply interconnected portfolio of apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. We’ve put AI at the center of our portfolio to enhance teamwork for users across our apps and Collections, a carefully curated set of apps and agents designed to solve complex tasks. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian focuses R&D on building new apps, AI agents, features, and advancing AI capabilities.

“Research and development expenses consist primarily of compensation expenses for our employees, including stock-based compensation, facilities and related overhead costs, certain IT program expenses, and consulting and contractor costs associated with our software development teams. We continue to focus our research and development efforts on building new apps, and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities.”

Atlassian invests in AI offerings including agents and Rovo but notes risks, costs, and uncertain benefits.

“We are investing in AI across the company and increasingly building out our AI-powered offerings, including apps, agents, and features like our Rovo platform apps. We expect AI apps, agents and features, both those we develop and those developed by third parties, to continue to be important to our offerings and our operations over time, but there can be no assurances that we will effectively develop, implement or market AI agents and features or that we will realize the desired or anticipated benefits from AI. We bear significant development and operational costs in building and supporting our AI tools and offerings, and expect these investments to continue to negatively impact our operating margins in the near term. Developing, maintaining, and deploying these technologies involves substantial risks, and we cannot guarantee that they will improve our offerings or provide benefits to our customers or business. As our business and offerings evolve to incorporate additional AI capabilities, we may be unable to effectively monetize our AI offerings or determine new methods for capitalizing on these opportunities. For example, we have made Rovo available at no additional cost to our premium, enterprise, and standard edition customers across Jira, Confluence, Jira Service Management and Teamwork Collection. If strategies like this are not successful in helping us win new customers and retain and expand within existing customers, we may not be able to offset the investments we have”

Atlassian introduced agents in Jira to orchestrate work across humans, Rovo and third-party AI agents.

“• Agent Orchestration in Jira: Atlassian introduced agents in Jira, making it the place to orchestrate work across humans and AI agents. Teams can assign work directly to Rovo and third‑party AI agents in Jira, iterate with agents in comments, and embed agents directly into workflows. Agent activity is captured alongside task history with full permissions, audit trails, and admin governance. Atlassian’s open toolchain approach lets teams orchestrate MCP-enabled third-party agents into Jira alongside Rovo agents, keeping all agent-driven work visible and coordinated in one system.”

Atlassian launched Rovo Dev in Jira, an AI agent for developers to delegate routine tasks.

“• Rovo Dev in Jira: Atlassian launched Rovo Dev in Jira, enabling developers to delegate routine tasks—from security fixes and migrations to feature‑flag cleanups—to a context-aware AI agent. Teams stay in control, choosing what to delegate to agents and approving every change before it ships, while freeing up capacity for higher-impact work and faster delivery.”

Atlassian made Rovo Service generally available as a human-supervised AI agent for employee support workflows.

“• AI Innovation in Service Collection: Atlassian introduced more advanced AI-powered capabilities to its Service Collection. Rovo Service, now generally available, is a human-supervised AI agent that plans and executes employee support workflows such as ticket resolution and HR onboarding - automatically routing, answering, and acting across systems by pulling context from existing knowledge, past tickets, and company policies. In addition, new Proactive AIOps capabilities draw on the depth of context from Atlassian’s Teamwork Graph to help detect potential incidents earlier by filtering alert noise and assess change risk by analyzing change data and providing risk scoring.”

Atlassian expanded partnership with Google Cloud to add Gemini and extend agentic AI capabilities for Rovo.

“• Expanded Partnership with Google Cloud to Power Agentic AI: Atlassian strengthened its strategic partnership with Google Cloud by adding Gemini 3 Flash to its open, multi-model AI strategy and extending its agentic AI capabilities – enabling advanced reasoning and multimodal features for Rovo at enterprise scale. By bringing deeper integrations between Rovo, Google Workspace, and Gemini Enterprise, joint customers can access AI agents directly in the tools where they already work, plan, and collaborate on projects.”

Atlassian customers are deploying agents rapidly, driving 50% of agentic automation runs on the platform.

“Q3 FY26 4 Service Collection Surpasses $1B in ARR, growing over 30% y/y With Jira Service Management, Customer Service Management, Assets, and Rovo, Service Collection is one of our fastest-growing businesses, and we are taking share from competitors. Service Collection shot past $1 billion in annual recurring revenue (ARR)1, and is growing over 30% y/y. Today, 65,000+ customers - including over half of the Fortune 500 - trust us for IT, enterprise, HR, and customer service management, with enterprise ARR growing over 50% y/y. A key driver of this strong demand is the AI capabilities we’ve threaded natively throughout. Service Collection customers who use our AI capabilities are getting results: resolving issues 13% faster than non‑AI users. They’re also resolving 20% more issues overall. And customers are deploying agents at a rapid clip. Today, Service Collection is driving 50% of the agentic automation runs across the Atlassian platform, which are growing 30% month-over-month, underscoring the increasing value we’re delivering to customers through our AI-powered platform. It’s not just IT teams driving Service Collection’s momentum. Today over 60% of Service Collection instances are for non-IT functions. HR, legal, finance and marketing teams that previously managed requests through email and spreadsheets are now running structured, measurable workflows on our platform. Before Jira Service Management, service requests for marketing, finance, ops and facilities were scatter”

Atlassian launched Rovo Service, a human-supervised AI agent that plans and executes support workflows.

“Q3 FY26 AI-Native Innovation We’re not just winning on breadth and value, we’re shipping innovation that keeps us ahead of competitors both large and small. This quarter we announced that Rovo Service is now generally available. This human-supervised AI agent plans and executes employee support resolution and onboarding workflows. This means AI actually does the work, and takes action itself rather than just pointing you to a knowledge base article. We also launched Proactive AIOps, an AI-driven early incident detection and change risk assessment that helps IT ops teams get ahead of problems, instead of reacting to them. Customers are finding the signal through the noise, experiencing a ~70% compression ratio for alerts and 6x faster post-incident review creation with AI. Beyond IT, we’ve also extended Service Collection with a new Customer Service Management (CSM) app built on the same AI‑native foundation. By tapping into the same data and context that power Rovo and Jira Service Management, we put the Teamwork Graph into action to give agents a full view of the customer (past interactions, related incidents, deployments, and knowledge) and let AI take action on that context. That means fewer handoffs, faster resolution, and a single service platform that works for both employees and end customers. Internally, our customer support services and Loom team deployments show greater than 70% AI resolution rates across more than 100,000+ conversations. “Gartner® estimates that by”

Atlassian is accelerating adoption of its AI-enhanced offerings as part of strategic priorities.

“Q3 FY26 11 A reconciliation of GAAP to non-GAAP measures is provided within the tables at the end of this letter, in our earnings press release, and on our Investor Relations website. James Chuong Chief Financial Officer Financial highlights All growth comparisons below relate to the corresponding period of last year, unless otherwise noted. ABJ IM J J G B Q J % % BF F B MEE JQ G PFL O O CTACMP MCN OF NC P MCNAC P ECO AJ 1GF A ,F 1 J A % % % %' J M CRC C -., - ) , - , 6NLOO MNLDGP ( ( )- 6NLOO NEG ( :MCN PG E LOO , (. ( , :MCN PG E NEG 9CP LOO . ). - . - 9CP LOO MCN OF NC $ G PC %). %(- 2 OF D LS DNL LMCN PGL O ,- - , ( ,. 2GF J M 6NLOO MNLDGP .- , - ,. ( 6NLOO NEG ) :MCN PG E G AL C , - (() ) . (.) :MCN PG E NEG %( 9CP G AL C , ( (, 9CP G AL C MCN OF NC $ G PC %- % - 5NCC A OF D LS , (, ,). ) $ Third quarter fiscal year 2026 highlights We delivered strong financial results in Q3. Total revenue growth exceeded expectations, as Cloud revenue growth accelerated to 29% year-over-year (y/y) and greater-than-expected term license revenue recognition drove outsized Data Center revenue growth in the quarter. Our execution against our key strategic priorities of Enterprise, AI, and System of Work is enhancing the value we deliver for customers across our platform. Customers continue to deepen their relationships with Atlassian, broadening their footprint across our System of Work as they expand their seats in our core offerings such as Jira and accelerate adoption of our AI enhanced ”

Atlassian offers a portfolio of interconnected apps, AI agents and products.

“Atlassian Corporation (the “Company”) is a global technology company with a mission to unleash the potential of every team. The Company’s team collaboration software enables organizations to connect all teams through a system of work that unlocks productivity at scale. The Company’s portfolio of interconnected apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. Atlassian puts AI at the center of the Company’s portfolio to enhance teamwork for users across apps and Collections, a carefully curated set of apps and agents designed to solve complex tasks. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian offers a portfolio of interconnected apps, AI agents and products.

“Our deeply interconnected portfolio of apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. We’ve put AI at the center of our portfolio to enhance teamwork for users across our apps and Collections, a carefully curated set of apps and agents designed to solve complex tasks. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian focuses R&D on building new apps, AI agents, features and advancing AI capabilities.

“Research and development expenses consist primarily of compensation expenses for our employees, including stock-based compensation, facilities and related overhead costs, certain IT program expenses, and consulting and contractor costs associated with our software development teams. We continue to focus our research and development efforts on building new apps, and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities.”

Atlassian invests in AI-powered offerings including apps, agents and the Rovo platform.

“We are investing in AI across the company and increasingly building out our AI-powered offerings, including apps, agents, and features like our Rovo platform apps. We expect AI apps, agents and features, both those we develop and those developed by third parties, to continue to be important to our offerings and our operations over time, but there can be no assurances that we will effectively develop, implement or market AI agents and features or that we will realize the desired or anticipated benefits from AI. We bear significant development and operational costs in building and supporting our AI tools and offerings, and expect these investments to continue to negatively impact our operating margins in the near term. Developing, maintaining, and deploying these technologies involves substantial risks, and we cannot guarantee that they will improve our offerings or provide benefits to our customers or business. As our business and offerings evolve to incorporate additional AI capabilities, we may be unable to effectively monetize our AI offerings or determine new methods for capitalizing on these opportunities. For example, we have made Rovo available at no additional cost to our premium, enterprise, and standard edition customers across Jira, Confluence, Jira Service Management and Teamwork Collection. If strategies like this are not successful in helping us win new customers and retain and expand within existing customers, we may not be able to offset the investments we have”

Atlassian recognized as leader in Gartner quadrant for its AI-powered marketing work management tools.

“• A Leader in the 2025 Gartner® Magic Quadrant™ for Marketing Work Management Platforms: Atlassian was recognized as a Leader in the 2025 Gartner Magic Quadrant for Marketing Work Management Platforms 1 for the second consecutive year, and received the highest placement in Completeness of Vision. Atlassian’s Marketing Work Management solution is delivered through its Teamwork Collection, which includes Jira, Confluence, Loom, and Rovo, allowing marketing teams to collaborate seamlessly, unleash creativity, and partner with AI agents to power workflows.”

Atlassian offers a portfolio of interconnected apps, AI agents, and products for various teams.

“Atlassian Corporation (the “Company”) is a global technology company with a mission to unleash the potential of every team. The Company’s team collaboration software enables organizations to connect all teams through a system of work that unlocks productivity at scale. The Company’s portfolio of interconnected apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, and business teams.”

Atlassian builds AI-powered apps, agents, and Collections on its Cloud Platform to solve complex tasks.

“Our deeply interconnected portfolio of apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. We’ve put AI at the center of our portfolio to enhance teamwork for users across our apps and Collections; a carefully curated set of apps and agents designed to solve complex tasks. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian incurs R&D costs for employees building new apps, AI agents, features, and advancing AI capabilities.

“Research and development expenses consist primarily of compensation expenses for our employees, including stock-based compensation, facilities and related overhead costs, certain IT program expenses, and consulting and contractor costs associated with our software development teams. We continue to focus our research and development efforts on building new apps, and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities.”

Atlassian invests in AI agents and features like Rovo but faces risks, costs, and uncertain monetization.

“We are investing in AI across the company and increasingly building out our AI-powered offerings, including apps, agents, and features like our Rovo platform apps. We expect AI apps, agents and features, both those we develop and those developed by third parties, to continue to be important to our offerings and our operations over time, but there can be no assurances that we will effectively develop, implement or market AI agents and features or that we will realize the desired or anticipated benefits from AI. We bear significant development and operational costs in building and supporting our AI tools and offerings, and expect these investments to continue to negatively impact our operating margins in the near term. Developing, maintaining, and deploying these technologies involves substantial risks, and we cannot guarantee that they will improve our offerings or provide benefits to our customers or business. As our business and offerings evolve to incorporate additional AI capabilities, we may be unable to effectively monetize our AI offerings or determine new methods for capitalizing on these opportunities. For example, we have made Rovo available at no additional cost to our premium, enterprise, and standard edition customers across Jira, Confluence, Jira Service Management and Teamwork Collection. If strategies like this are not successful in helping us win new customers and retain and expand within existing customers, we may not be able to offset the investments we have”

Atlassian customers can assign Jira work items to 1st-party or 3rd-party AI agents like Canva, Cursor, Databricks and GitHub.

“Q1 FY26 8 Teamwork Collection is the foundation of Atlassian’s System of Work, providing a unified, AI-native collaboration experience that helps teams plan, communicate, and deliver work at scale. It includes three core apps: Jira, Confluence, and Loom, along with Rovo. Teamwork Collection customers like Applied Systems, Wendy’s, and KPN are gaining a set of new AI capabilities to help customers work faster, smarter, and together with AI. Customers can now assign work to agents in Jira, allowing technology and business users alike to assign Jira work items to 1st-party or 3rd- party AI agents like Canva, Cursor, Databricks, and GitHub, to complete work on their behalf. Additionally, Rovo now supports project management skills in Jira, creating Jira work items automatically from a project brief document, suggesting updates for work items, and keeping the project tidy by deleting duplicate items and archiving old ones. AI continues to be a huge reason customers upgrade to Teamwork Collection. Customers are seeing the value of Atlassian’s differentiation when it comes to AI - our opinionated Teamwork Graph, along with enterprise-grade permissioning, compliance, and governance that’s built directly into our platform, creating an unmatched experience for day-to-day work.”

Atlassian offers an interconnected portfolio of apps and AI agents for software, IT, and business teams.

“Our deeply interconnected portfolio of apps, AI agents, and Collections, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership and business teams. We’ve put AI at the center of our portfolio to enhance teamwork for users across our apps and Collections for all teams. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a common technology foundation that seamlessly connects teams, information, and workflows throughout an organization.”

Atlassian shifted to a vision of apps, AI agents, and Collections for greater flexibility and scalability.

“During fiscal year 2025, we shifted from stand-alone products to a vision of apps, AI agents, and Collections. This shift represents a move from isolated, single-purpose software to integrated, modular solutions that can be easily added, updated, or removed within a larger platform. This transition enables greater flexibility, scalability, and customization for users, allowing them to tailor their digital environments to specific needs without the complexity of managing separate products from multiple vendors.”

Atlassian is investing in and building AI-powered offerings including Rovo platform apps and agents.

“We are investing in AI across the company and increasingly building out our AI-powered offerings, including apps, agents, and features like our Rovo platform apps. We expect AI apps, agents and features, both those we develop and those developed by third parties, to continue to be important to our offerings and our operations over time, but there can be no assurances that we will effectively develop, implement or market AI agents and features or that we will realize the desired or anticipated benefits from AI. We bear significant development and operational costs in building and supporting our AI tools and offerings, and expect these investments to continue to negatively impact our operating margins in the near term. Developing, maintaining, and deploying these technologies involves substantial risks, and we cannot guarantee that they will improve our offerings or provide benefits to our customers or business. As our business and offerings evolve to incorporate additional AI capabilities, we may be unable to effectively monetize our AI offerings or determine new methods for capitalizing on these opportunities. For example, we have made Rovo available to our premium and enterprise edition Jira, Confluence, and Jira Service Management customers at no additional cost to them and expect to do so for our standard edition customers in the near future. If strategies like this are not successful in helping us win new customers and retain and expand within existing customers, we may n”

Atlassian has built AI agents at the center of its interconnected portfolio of apps and products.

“Our deeply interconnected portfolio of apps, AI agents, and Collections, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership, and business teams. We’ve put AI at the center of our portfolio to enhance teamwork for users across our apps and Collections for all teams. These apps, agents, and Collections are all built on the Atlassian Cloud Platform and data model: a”

Atlassian focuses R&D on building new AI agents, products, features and advancing AI capabilities.

“Research and development expenses consist primarily of compensation expenses for our employees, including stock-based compensation, facilities and related overhead costs, consulting and contractor costs associated with our software development teams, and certain IT program expenses. We continue to focus our research and development efforts on building new apps, AI agents and products, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our cloud infrastructure, and advancing our artificial intelligence capabilities.”

Atlassian's portfolio includes interconnected apps, AI agents and products for multiple teams.

“Atlassian Corporation (the “Company”) is a global technology company with a mission to unleash the potential of every team. The Company’s team collaboration software enables organizations to connect all teams through a system of work that unlocks productivity at scale. The Company’s portfolio of interconnected apps, AI agents, and products, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, and business teams.”

Atlassian introduced Rovo Dev Agent in CLI achieving top SWE-bench score for AI agents.

“Q4 FY25 5 Analysts are also taking note of our strong position with AI. Atlassian was recognized as an Emerging Leader in the 2025 Gartner® Innovation Guide for Generative AI Technologies2. We see AI as a force multiplier for all our big bets, not a separate track. And with a world-class R&D machine, world-class platform, and 300,000+ customers, we believe we’re uniquely positioned to get Atlassian AI into the hands of millions of users. This quarter, we also introduced Rovo Dev in the Command Line Interface (CLI). It is natively integrated with Atlassian apps and the Teamwork Graph, bringing intelligent automation and code understanding directly to developers’ terminals - accelerating workflows, reducing context-switching, and empowering teams to improve code quality and productivity. Rovo Dev in the CLI achieved the highest score on the SWE-bench, a leading benchmark for evaluating AI agents on real- world tasks, reaching a 42% resolution rate across 2,294 tasks in the full dataset, surpassing all other submissions. Pythian, a global data and analytics services company, was searching for a solution to help employees quickly find information scattered across numerous tools and time zones, as their teams were feeling overwhelmed and unable to access the knowledge they needed to work efficiently. After evaluating several enterprise search engines, they chose Rovo because it is an embedded solution that integrates seamlessly with their Atlassian System of Work. This allowed Pyt”

Atlassian introduced Rovo Dev Agent in CLI with agentic AI for developer workflows.

“• Rovo Dev Agent in the Command Line Interface: Atlassian introduced Rovo in the Command Line Interface (CLI), bringing agentic AI directly into the terminal environment. Rovo Dev in the CLI is natively integrated with Atlassian applications like Jira, Confluence and Bitbucket, bringing intelligent automation and code understanding directly to developers’ terminals — accelerating workflows, reducing context-switching, and empowering teams to improve code quality and productivity.”