Explore how to govern Rovo in Atlassian Administration, including where it is available, what it can search, how external AI access is managed, and how adoption and audit activity are monitored. This session is for org admins who need to set up global Rovo parameters and stakeholders who want to understand how Rovo works across a site.

In this session, you’ll learn how to:

• Enable and block access to Rovo for specific apps
• Enable web search in Rovo and understand its governance implications
• Add, monitor, and troubleshoot Rovo connectors
• Explain what the Rovo MCP server is and what governance problem it solves
• Understand user behavior with Rovo Insights
• Monitor Rovo and Rovo Dev credits and events

In this workshop we will show you how to take your Rovo agents to the next level. You'll learn how to design subagent architectures, orchestrate subagents, test agent reliability with evaluations, create agent accounts, and run them autonomously without human interaction.

You'll learn how to break complex tasks into coordinated subagents, evaluate whether your agents are performing reliably, and build end-to-end automations that go beyond simple triggers.

This session is ideal for participants with foundational agent-building experience with Rovo who are ready to operationalize agents in real-world environments.

Building better AI agents is a skill your team can learn, no code required. Join Atlassian as they share the steps for creating effective AI agents for everyday workflows, from identifying automation opportunities to designing high-impact agent experiences. You’ll learn how to write clear instructions and examples (including what good and bad look like) and how to leverage existing knowledge to improve agent performance. Hear industry best practices, practical tips, and real-world use cases for Rovo Studio, and explore how Rovo Agents can extend to multiple surfaces beyond Atlassian.

Key takeaways:

• Learn how to bring Rovo Agents into everyday workflows.
• Explore Rovo Studio to build, test, and deploy your own agents.
• Discover practical ways your team can collaborate effectively with AI agents.

Anyone who uses Jira or Confluence can now build an app to solve the challenges their team faces. In this hands-on session, you'll use Rovo Studio to describe what you need, like a sprint health tracker or a team dashboard, and generate a custom Jira or Confluence extension. Everything you build runs securely in your Atlassian environment, thanks to Forge. You’ll see how to turn an idea into a solution that helps your team work the way it wants to.

You’ll leave with a clear, step-by-step path for getting started in Studio: where to go, what to describe, and how to iterate on your extension until it feels truly yours. By the end of the session, you’ll understand how to apply what you’ve learned to your team’s requests without writing a single line of code.

Learn how to use forms in a company-managed Jira space to collect structured information from any team or stakeholder. Forms are a flexible feature you can add to your Jira space to gather input right where you track work.

In this session, you’ll learn how to:

• Create and customize a form to collect the information you need
• Configure fields based on your audience’s context
• Add conditions to a form to control how users can submit information
• Determine whether you should use a public form or restrict access

Learn how to configure Jira Service Management queues that help agents triage and prioritize incoming work, from defining conditions and priority groups to organizing queues for your team’s process. Queues are a core part of service spaces that support how your team intakes, triages, and fulfills requests.

In this session, you’ll learn how to:

• Configure agent-specific and shared queues for triage
• Use JQL queue conditions
• Sort and reorder queues by priority
• Follow queue configuration best practices
• Create queue priority groups
• Recognize ways agents can personalize their view

When a single missed handoff in steam turbine field service can cost six figures, paper forms and email chains aren't good enough. In this session, a global energy leader and its implementation partner share how they reimagined field service operations inside Jira Service Management — cutting lead time from 60 days to 21 across ~45,000 assets. You'll hear what drove the change, how the platform was architected for scale, and how Rovo and automation are now layered on top to build a system that doesn't just work, but learns.

Key takeaways:

• How to map a compliance-heavy industrial field service process onto Jira Service Management — without losing the operational nuance that keeps turbines running
• What drove a 3× reduction in lead time (60 → 21 days) and what almost prevented it
• Practical patterns for layering AI augmentation onto a stabilised service workflow, with real examples from production

Paper-based strategic plans look impressive in the boardroom, but they're usually stale by the time you they’re created. Most organizations know their strategy should be a living system, but don’t know where to start to move from a static document to something dynamic.

In this hands-on workshop, you'll learn how to incrementally evolve a paper-based strategic plan into a living strategy model using Strategy Collection.

This session takes attendees through an end-to-end journey of building an AI agent for a real, high-value customer problem: triaging incoming requests and routing them to the right team with the right priority. The session shows how teams identify an agent-worthy use case, turn messy support workflows into clear requirements, build the solution live in Rovo Agent Studio, and define the evaluation approach needed for trusted rollout.

Attendees leave with more than a demo. They leave with a practical framework to spot the right use cases, draft effective agent instructions, connect knowledge and actions, and pilot a triage agent in a controlled, measurable way.

What if Rovo could answer a question no single person, or tool, can answer on their own? This session is built around two live demos that showcase how Rovo works across the tools your team already uses (Loom, Confluence, and Jira) to turn scattered information into structured, actionable outcomes.

In this 30-minute live demo session, you'll see how Rovo connects the dots between a messy Loom brain dump, a months-old Confluence page, and an open Jira epic, delivering answers and outputs that would otherwise take hours to pull together. You'll leave with real workflows you can put into practice immediately.

Key takeaways:

• Turn raw recordings into ready-to-share assets: watch Rovo transform a stream-of-consciousness Loom recording into a structured Confluence summary, complete with decisions, open questions, and Jira follow-up tasks
• Get answers no single person or tool can give you: see how Rovo surfaces cross-tool intelligence by pulling together context from Jira, Confluence, and Loom in seconds, then traces every answer back to its source

Every coding agent knows your code. Almost none of them know your work, the Jira issue that kicked it off, the Confluence doc that explains the trade-offs, the decisions made last sprint, or the team that owns the outcome. The result: agents that sound confident and build the wrong thing.

We're going to show you the difference. Live. Side-by-side.

Same task, same agent. Once flying blind, once powered by Jira, Teamwork Collections, and the Teamwork Graph. We'll run it across RovoDev, Claude, Codex, Gemini, and Cursor so you can see exactly where context changes everything. No slides. No hand-waving. Just the delta, in real time.

We'll also pull back the curtain on Agentic Jira, agents that can be assigned, @mentioned, and wired into your workflows right now, and make the case for why context, not the model, is the real moat in the agentic age.

Key takeaways:

• See the gap: a live, side-by-side demo of the same agent with and without organisational context. The difference is undeniable.
• Set it up yourself: concrete patterns to connect agents to Jira, Confluence, Bitbucket, and third-party sources via Teamwork Collections.
• Why Atlassian wins here: the Teamwork Graph is a structural advantage that composes with any coding agent your team already uses.

Artificial Intelligence is only as smart as the context it receives. Without a unified, context-aware foundation, enterprise AI risks delivering fragmented insights and low return on investment.

In this session, learn how the Teamwork Graph serves as the ultimate context layer for your organization: bridging data across workflows, teams, and tools to power smarter, more intuitive AI experiences like Atlassian Rovo. Discover how shifting to a proactive, context-aware architecture allows you to maximize the ROI of your AI investments while maintaining enterprise governance and trust.

Key Takeaways

• Understand how connected organizational context dramatically improves AI accuracy, relevance, and value across everyday workflows
• Learn how a grounded context layer shifts your enterprise strategy from reactive AI governance to a proactive, secure foundation
• See how the Teamwork Graph enables enterprise-grade scaling, measurement, and data privacy without sacrificing performance or context depth

In this session, learn how to replace a fragmented toolset with Atlassian Strategy Collection, creating full traceability from corporate strategy through portfolio planning to team-level delivery. We’ll walk through how to structure the rollout, get buy-in from leaders, and get deeper visibility from strategy to execution.

For organizations juggling multiple planning tools with no clear line of sight between strategy and execution, this session offers a practical blueprint for consolidation.

You already use Rovo. But are you getting the most out of it? Platform Skills are pre-built, best-practice instructions that take the guesswork out of prompting - delivering reliable, consistent outputs for common team tasks. Instead of crafting the right prompt every time, you use a Platform Skill and get the right result every time.

In this 30-minute live demo session, you'll see how Platform Skills turn everyday teamwork - writing updates, summarizing pages, breaking down work - into fast, repeatable actions. New to Platform Skills? You'll leave with AI shortcuts you can put to work immediately.

Key takeaways:

• Discover pre-built Skills: browse and use ready-made Skills for common tasks like drafting status updates, generating action items, and obtaining data insights
• Work faster with more consistency: reduce time spent on repetitive tasks while getting reliable, high-quality outputs every timeKristjan Mathiesen & Emma WolstencroftKristjan Mathiesen & Emma Wolstencroft

Getting an AI agent to write decent code is no longer the hard part -- keeping your team aligned when planning, execution, and review all move at different speeds is. In this session, engineering teams will see a complete, realistic AI-native delivery loop in Jira: turning scattered context into agent-ready plans, delegating work to humans and AI, and reviewing outcomes with intent and decisions baked in.

• Turn scattered product, engineering, and customer context into agent-ready Jira plans with clear ownership
• Decide what to delegate to agents vs. keep with humans, and where to add guardrails and approval checkpoints
• Review and iterate agent output with rationale and learning loops connected back to Jira as your system of record

Real delivery is a team sport — so this advanced, hands-on lab makes you run one, with AI agents as teammates at every step. Working in small teams, you'll start from a goal, brainstorm your own app ideas on a Confluence whiteboard, and use AI to shape them into a working PRD.

From there, you'll move into Jira, where each team member owns a piece of the build. Agents help you break down the work and generate your first version live. Here's what sets this lab apart: instead of typing your revisions, you'll record them with Loom's AI capture feature, turning spoken feedback into actionable change requests the agents implement. Together, you'll test, fix, and refine — taking your app through a complete agentic delivery lifecycle across the Teamwork Collection. In just 90 minutes, you'll go from a blank canvas to a fully functional, working app.

Operating environments are accelerating, but most leadership practices are still running on industrial-age logic: siloed thinking, static annual plans, and disconnected tools. The result is a growing gap between how fast the world moves and how fast leaders can respond.

This session challenges conventional leadership models and introduces a new framework for leading in complexity. You'll explore how Strategy Collection helps leaders move from reactive firefighting to proactive, connected decision-making with real-time visibility into priorities, dependencies, and the health of their portfolio. Whether you're a CIO, VP of Strategy, or transformation leader, you'll leave with a different lens on your own operating model and practical steps to close the leadership lag.

Strategic alignment is only valuable when it drives better decisions. Learn how to leverage Atlassian Strategy Collection to connect strategic objectives, portfolio investments, value streams, delivery execution, and financial outcomes.

Key takeaways:

• Align strategy, funding, and execution across the enterprise
• Gain real-time visibility into value delivery and investment performance
• Empower leaders with actionable insights for portfolio prioritization and funding decisions

What does it actually look like to deploy AI agents across a large-scale engineering organization — and what happens when it works? In this session, practitioners from a leading financial services organization in Eastern Europe pull back the curtain on how they're using Atlassian Rovo Agents to transform operations across Incident Management, Problem Management, SDLC, and Portfolio Management.

You'll walk away with concrete examples of how AI agents can help incident responders gather context faster, surface related changes, support root cause analysis, improve requirements quality, and deliver actionable portfolio insights — all without adding process overhead. More importantly, you'll hear the unfiltered story: the governance decisions they had to make, the adoption challenges they didn't expect, and the lessons that only come from running this at scale across 150+ agile teams and hundreds of business systems.