What are session types?When a legacy ITSM platform becomes too expensive, too slow, and too rigid, something has to give. That’s why Axpo — Switzerland's leading energy company — decided to migrate 4,000+ users to Jira Service Management in just 4.5 months. The hardest part of that transition? Learning that copying old processes into a new tool doesn’t always translate.
Hear how Axpo tested its legacy-platform exit against real workflows, made difficult tradeoffs during a greenfield rollout, and built enough momentum for other parts of the business, including HR, to follow. Its IT platform is now evolving into a Service Engineering Platform, with CMDB schemas, SLAs, and routing rules versioned in Git and deployed through continuous integration and delivery.
This is an honest, in-progress account that covers the technical debt and limitations that surfaced along the way, as well as the path ahead toward AI agents and infrastructure as code.
Key takeaways:
- How to validate a legacy platform exit against real workflows before committing the business case
- Discover how to navigate the tradeoffs and technical debt of a 4.5-month migration
- How to transform Jira Service Management into an engineered platform by managing CMDB schemas, SLAs, and routing rules as code via CI/CD
Alex Temperli (Axpo Group)
Coding agents are transforming how software gets built, but for most organizations early productivity gains are starting to level off. As AI makes code generation faster, friction is shifting from writing code to other parts of software delivery, including gathering context, planning, orchestration, code review, and governance.
In this session, we’ll show how Atlassian is helping organizations improve their AI-powered workflows across the full software lifecycle, beyond code generation. We’ll follow an AI-assisted workflow, powered by Atlassian and Jira, that starts with customer discovery and continues through planning, orchestration, delivery, and measurement. Along the way, we’ll see how Atlassian grounds agents in organizational context and intent, how Jira provides the coordination layer for managing human-agent workflows, and how DX helps measure AI impact.
During this session, you’ll learn how to:
- Improve agent accuracy and reduce costs by grounding agents in organizational context.
- Scale multi-agent workflows with quality gates and your organization’s standards built in.
- Orchestrate AI-assisted workflows across customer discovery, planning, code generation, review, delivery, and measurement.
- Measure AI impact on developer velocity, code quality, and delivery health using DX.
Gosia Kowalska (Atlassian), Justin Reock (Atlassian), Matthew Canham (Atlassian)
Beyond Excel: Reimagining industrial field service operations at Siemens Energy
In steam turbine field service, a single missed handoff can trigger costly delays — yet the industry has long relied on Excel spreadsheets, paper forms, and email chains that were never built for this level of complexity. In this session, Siemens Energy, a global leader in energy technology, and implementation partner HiQ share how they reimagined field service operations within Jira Service Management, achieving 3x faster throughput with full visibility at every handoff.
You'll hear what drove the change, how the platform was architected for scale across a complex industrial environment, 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 complex industrial field service process onto Jira Service Management, without losing the operational nuance that keeps turbines running
- What actually drove the transformation, and what almost got in the way
- Practical patterns for layering AI augmentation onto a stabilised service workflow, with real examples from production
Johannes Tegethoff (HiQ GmbH), Ulrich Tschakert (Siemens Energy)
Most teams still run the same manual workflows: chasing status updates, re-entering information across tools, and losing hours to low-value coordination work. The opportunity isn't just to automate team tasks, it's to entirely redesign how work gets done with agentic workflows that think, connect, and act across your whole system of work.
Join Atlassian and Centric Software as they share a practical, step-by-step approach to designing high-impact agentic workflows using Rovo Studio, no coding experience required.
You'll learn how to:
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Identify the right opportunities in your everyday processes
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Write clear instructions that make workflows perform reliably
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Leverage your organization's existing knowledge to make every workflow smarter over time.
Finally, explore how agentic workflows built in Rovo Studio can extend across surfaces and tools beyond Atlassian, meeting your teams wherever work actually happens.
Key Takeaways
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Learn a repeatable framework for identifying high-impact opportunities inside your everyday processes from intake and triage to cross-tool handoffs.
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Explore how to build, test, and expand agentic workflows that go beyond single tasks: connecting tools, surfaces, and teams into one seamless flow, without code.
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Walk away with real-world examples, clear instruction-writing techniques, and a practical guide for rolling out agentic workflows your whole team can use and evolve.
James Carn (Centric Software), Shihab Hamid (Atlassian), Sushant Koshy (Atlassian)
Close out the day with a customer fireside chat on what really turns potential into progress, followed by a thrilling conversation with one of Europe’s most versatile performers.
Part 1:
This technical closing customer panel at Team EU will show what becomes possible when connected context becomes the foundation for AI at scale.
Through Lloyds Banking Group and Reddit, attendees will see two very different paths to the same destination: trusted knowledge, work, teams, code, and operational signals coming together so people and agents can move from experimentation to measurable outcomes.
One story shows how a highly regulated enterprise builds the governance, migration foundation, and human-in-the-loop controls required to make AI trustworthy; the other shows how a fast-moving digital platform uses connected context to help teams plan, build, review, and operate faster without locking into any single model.
Part 2:
Hannah Waddingham's career is a masterclass in what happens when context compounds. From commanding West End stages to winning an Emmy for her portrayal of Rebecca Welton in Ted Lasso, Waddingham has built each chapter on every layer of experience before it — her theatrical training informing her dramatic range, her vocal power amplifying her screen presence, her comedic timing sharpening through decades of live performance.
It's the same principle at the heart of this year's conference: knowledge that sits still is just information, but context that connects and compounds becomes momentum. Rebecca Welton's arc in Ted Lasso mirrors what so many organizations are grappling with today — she begins operating in silos, guarding information, making decisions alone, and it's only when she opens up to her team, trusts the people around her, and lets shared context guide her that AFC Richmond transforms from a club on the brink to one that believes.
In this fireside chat, one of Europe's most versatile performers joins us to explore how curiosity, trust, and the courage to connect the dots across every dimension of your work — and your life — is what turns potential into progress.
Amit Puntambekar (Reddit), Brian Duffy (Atlassian), Hannah Waddingham, Hilary Lanham (Lloyds Banking Group), Mike Cannon-Brookes (Atlassian)
Closing the context gap: From local coding sessions to verified delivery
The most important work in an AI-native software team often happens in terminals, IDEs, source control, and local agent sessions. But when context does not travel with the work, developers waste time reconstructing intent, while reviewers struggle to understand what changed, why it changed, and whether it is ready to progress. Teams gain speed in one part of the lifecycle, only to lose it through rework, manual coordination, and slower reviews.
Atlassian closes the context loop.
In this session, we will show how Jira and Teamwork Graph connect planning intent, local development decisions, organisational standards, and verification evidence across the software development lifecycle. It starts with immediate value for developers in the local loop, then compounds into stronger coordination and higher-confidence review on the “right of code.”
You will learn how to:
- Bring work intent, prior decisions, and related delivery context from Jira and Teamwork Graph into the tools where developers and agents already work
- Capture meaningful progress and implementation decisions back in Jira, reducing manual status updates and artifact linking while maintaining governance
- Ground AI-assisted review in intent, implementation evidence, and organisational standards, then surface risk assessments in Jira so reviewers can focus their attention, fast-track low-risk changes, and ship with confidence
Natalija Fuksmane (Atlassian), Ryan Jiang (Atlassian)
Connected Context, Governed Action: Scaling Enterprise AI with the Teamwork Graph and Rovo
Moving from individual AI productivity to driving meaningful organizational ROI is a challenge most organizations aren’t sure how to solve.
In this keynote, you’ll learn how to move from isolated pockets of value to company-wide impact using Atlassian’s AI platform. We’ll unpack the three core principles that make this possible: building on a governance-first foundation to scale safely, unlocking deep enterprise context through the Teamwork Graph, and using Rovo for intelligent agent orchestration across all tools. Join us to explore what’s new, see live demos in action, and leave with a clear path to accelerate AI adoption that actually moves the needle for your organization.
Key takeaways:
- Understand how Atlassian’s Teamwork Graph gives AI the organizational context needed to turn AI activity into real business outcomes.
- Learn how teams can achieve faster, better, and stronger outcomes through connected AI workflows across all your apps.
- How to scale AI confidently across your organization, with the visibility, control, and data protection enterprises require.
Jamil Valliani (Atlassian), Rob Bissett (Atlassian)
The EU is reshaping the rules for Cloud and AI faster than any other region. For enterprises operating in regulated industries, these changes directly shape deployment decisions, vendor trust, and product roadmaps. Clarity on what's coming and how to address new requirements is a strategic imperative.
Join us for a panel discussion on the latest wave of EU regulation with Atlassian's Head of Public Policy, Aaron Kleiner, a leading EU-based technology company, and a global software policy & advocacy organisation. We will dive into topics ranging from the AI Act to emerging cloud legislation - and what it means for enterprise software buyers and builders. Hear how Atlassian is responding to new obligations, how industry coalitions are shaping policy outcomes, and how your organisation can start preparing today.
Key takeaways:
- A clear map of the EU tech regulatory landscape and the legislation most likely to impact your cloud and AI decisions in the next 12 months
- How Atlassian and industry peers collaborate to advocate for workable, innovation-friendly policy
- Practical steps to anticipate regulatory shifts and factor them into your enterprise trust and migration strategy
Aaron Kleiner (Atlassian), Grace Carter (Elastic), Thomas Boué (Business Software Alliance)
The most powerful thing a team can have isn't more information — it's more conviction. Knowing what to prioritize. Where things stand. What to do next. Join Atlassian leaders to discover how the world's most effective teams are turning knowledge into knowing — the kind of confidence and conviction that transforms how companies operate, decide, and deliver.
Experience the evolution of Atlassian's platform, AI, and real-world stories behind teams that dream bigger and scale faster, because they know better. Come ready to level up. Leave knowing exactly how to.
Mike Cannon-Brookes (Atlassian), Sherif Mansour (Atlassian), Tamar Yehoshua (Atlassian)
From Data Center to Trusted AI: How Lloyds Banking Group transforms engineering in a Regulated World on Cloud
For heavily regulated organisations, digital transformation goes beyond modernising technology. It’s about building the foundations for innovation while maintaining security, trust and compliance at every step.
In this presentation and fireside chat, Hilary Lanham, Head of Engineering Productivity Services at Lloyds Banking Group, and Amit Gupta, SVP of AI & Cloud Transformation at Atlassian, share how UK's largest bank migrated Jira and Confluence from Data Center to Cloud - moving 33,000 users and 7.2TB of data with no degradation in service - and then used that modern foundation to unlock AI at scale.
Hear how Lloyds introduced Atlassian Rovo, established a practical governance framework for responsible AI adoption, and created the guardrails needed to accelerate innovation while meeting the stringent security and regulatory requirements of a global financial institution.
Key Takeaways:
- See how Lloyds migrated Jira and Confluence to Cloud at scale while maintaining resilience and user confidence
- Learn how Lloyds uses Rovo and contextual AI to improve engineering productivity
- Gain practical insights on change, adoption, and building an AI-ready foundation in a regulated environment
From Loom to live in hours: Inside the Rovo-powered SDLC at Atlassian Williams F1 Team
Everyone bought the AI coding tools… then watched throughput flatten because typing code was never the real bottleneck. In this breakout, Chelsea Bullock and Richard Sworder show you how Rich's teams at Atlassian Williams F1 Team actually solved this in a high-complexity, high-stakes development environment. We'll walk the real loop live: a spoken Loom becomes structured Jira work, Rovo and the Teamwork Graph assemble context (with the expertise of in-house analysts but for no additional cost)-- with high token spend reserved exclusively for building-- then the solution ships through Bitbucket Pipelines with instant rollback. The result? Work once quoted at 2 months is now delivered in 2 hours. Come for the inspiration and stay for the practical plays you can run on Monday.
Chelsea Bullock (Atlassian), Richard Sworder (Atlassian Williams F1 Team)
Discover how Temenos, a global banking software leader serving 3,000+ financial institutions, partnered with Atlassian Advisory Services to replace fragmented strategy tools with a connected system of work, leveraging Atlassian's Strategy Collection to create full traceability from corporate objectives to team-level delivery across multiple portfolios.
You'll walk away with practical strategies for scaling enablement in regulated enterprises, lessons learned, and actionable steps to drive enterprise-wide transformation using Strategy Collection capabilities.
Key Takeaways:
- Strategy-to-execution in one system: Learn how Temenos replaced fragmented tools with Jira Align as a single system of record, creating a clear line of sight from corporate objectives through strategic initiatives to team-level work items.
- Scaling enablement in regulated enterprises: Discover how five portfolios succeeded by focusing on role-based enablement rather than generic tool training.
- From consumer to product shaper: See how structured feedback loops turned Temenos into an active design partner influencing Atlassian's Strategy Collection roadmap.
How we work is changing fast, and Confluence is at the center of it. Join Atlassian product experts for a fast-paced, live look at how new AI capabilities in Confluence, powered by Rovo and grounded in the context of the Teamwork Graph, are transforming the way teams create, connect, and act on knowledge.
Key takeaways:
- See live demos of new AI-powered experiences in Confluence
- Discover how teams get more useful and actionable results using Rovo
- Leave with fresh ideas to bring back to your team
Aya Beaumont (Atlassian), Dustin Smith (Atlassian)
How University of Technology Sydney turns strategy into investment decisions
Strategic alignment is only valuable when it drives better decisions. Learn how University of Technology Sydney leveraged Atlassian Strategy Collection to connect strategic objectives, portfolio investments, value streams, delivery execution, and financial outcomes. By creating a single source of truth for value delivery, we enabled leaders to shift from project-based funding discussions to continuous, data-driven investment management.
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
Hassan Touheed (University of Technology Sydney (UTS)), Simon Jacobson (Atlassian)
When that context is connected across teams and workflows, AI can do more than make individuals faster. It can help work move across an organization with fewer gaps, faster decisions, less rework, and stronger execution across teams.
Drawing on the latest Teamwork Lab research into how context shapes AI effectiveness, this panel goes behind the scenes with leaders from Product, Legal, Marketing, and HR to show what that looks like in practice. We’ll follow real cross-functional work as it moves from team to team: the context each function receives, where AI accelerates the work, where human judgment matters most, and what gets passed forward to keep the work moving.
Key takeaways:
- Context is what turns AI adoption into enterprise impact. See how connecting goals, knowledge, decisions, and work helps AI create value beyond individual productivity.
- The best AI workflows combine speed with human judgment. Learn where AI accelerates the work, where people add what AI can't, and how the two work together across functions.
- Good governance travels with the work. See how teams preserve the right context, judgment, and guardrails through each handoff — rather than treating governance as a separate layer.
Alicia Lenart (Atlassian), Chelsea Bullock (Atlassian), Jackie Davis (Atlassian), Rebecca Tu (Atlassian)
AI is only as useful as the context behind it. Without a unified, connected foundation, enterprise AI delivers fragmented insights, generic recommendations, and disappointing returns. The real question is not what your AI knows in the abstract. It is whether your AI understands how work actually gets done in your organization, how sellers qualify deals, how support engineers debug issues, how risk teams make decisions, and who is allowed to see what along the way.
In this session, Atlassian will show how the Teamwork Graph gives AI the real-world context it needs to deliver results. You will hear how media giant Axel Springer connected their org charts, code, and design tools to Rovo to solve real business friction. Learn how they used connected context to replace hours of unproductive meetings, automate post-incident documentation, and dramatically reduce developer LLM costs.
Key Takeaways
- Discover how enriching the Teamwork Graph dramatically improves the accuracy, relevance, and everyday usefulness of Rovo across your organization's unique workflows and tools.
- See how Axel Springer used the Teamwork Graph to unify context across their tech stack and get meaningful value from Rovo starting on day one.
- Leave with a practical framework for configuring context-aware AI that respects permissions, maintains enterprise governance, and scales without sacrificing performance or data privacy.
Hersh Iyer (Atlassian), Martin Bild (Axel Springer)
Reactive to ready: Building an AI governance strategy that scales with you
- Discover how leading enterprises are moving beyond reactive policy-setting to establish flexible, context-aware AI guardrails that hold up as technology evolves.
- Learn how to design protections that give teams the confidence to move fast across regions, confidential workflows, and regulated environments without sacrificing compliance.
- Leave with a concrete governance blueprint you can adapt and apply immediately to your organization's AI programs, tools, and agent-driven workflows.
Ashwini Rattihalli (Atlassian), Nisha Narasimhan (Atlassian), Toni Soldat (TeamViewer)
AI is transforming how businesses operate and leaders are being held to higher expectations. Service must be unified, intelligent, and resilient across your entire organization, not patched together and slowed down by legacy constraints. Learn how Atlassian’s AI-powered Service Collection, including Jira Service Management, Customer Service Management, Assets, and Rovo, enables teams to meet this moment.
Edwin Wong (Atlassian), Shamik Sharma (Atlassian)
Last year, Atlassian’s first State of Product report revealed a paradox: product teams were adopting AI faster than ever, yet felt more disconnected from strategy than before. Burnout was up. Confidence was down. And the relentless push toward profitability was squeezing out the work PMs actually signed up to do.
So what’s changed? In this panel, Axel Sooriah (Atlassian) sits down with product leaders to unpack the findings from Atlassian’s second annual State of Product report. Drawing on survey data from 1,000+ product professionals, the conversation goes beyond the numbers — into what’s actually working inside high-performing product teams, where AI adoption is paying off (and where it’s still falling short), and what the best product orgs are doing differently to close the gap between speed and strategy.
Key takeaways:
• How the most effective product teams are using AI to reclaim strategic time — not just automate tasks
• Why the gap between product teams that experiment and those that don’t is widening, and what that means for outcomes
• What product leaders are doing to rebuild confidence and focus amid growing pressure to deliver business impact
Axel Sooriah (Atlassian), Ken Exner (Atlassian), Leon Harvey (Datasite)
AI is accelerating delivery, and every misaligned bet accelerates with it, exposing how disconnected strategy, funding, people, and work really are. See how Strategy Collection, with the Teamwork Graph and Rovo, connects goals, funds, teams, and work into one living operating model, so you can sense, decide, and reallocate in days, not quarters.
Key takeaways:
- Run the business from a connected operating model. Strategy Collection connects goals, funds, teams, and work, so a strategy change reshapes investment and delivery automatically, not a quarter of rework.
- Give agents strategic intent, not just speed. Rovo and the AI SDLC bring the speed; Strategy Collection keeps every agent tethered to the bet it serves, so acceleration has direction.
- Pull one governed lever when execution drifts. See risk, spend, and capacity in one view, then right-size, re-fund, and re-assign, with a traceable trail.
Asha Thurthi (Atlassian), Helen Lau (Commonwealth Bank of Australia), Monica Girolami (Atlassian)
Discover how Atlassian’s AI platform connects the Teamwork Graph with robust governance and cross-team orchestration. Featuring an in-depth conversation with our Head of Product for AI, this Team Talk unpacks how to turn autonomous AI into everyday business impact.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Go behind the scenes with the Williams F1 team in a live conversation about how they collaborate at top speed. Hear how they use Atlassian to orchestrate complex work, move faster, and unleash their full potential on and off the track.
You also learn how Atlassian is leaning into AI internally through technology and human collaboration. Join us to hear from our Chief People and AI Enablement Officer Avani Prabhakar.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Faster individuals don’t automatically make faster teams. Join our digital session as we interview a leading teamwork expert on what it takes to connect context across tools, rewire collaboration, and drive measurable organizational ROI. We will also play an interactive & informative game …. Did You Know.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Faster code generation doesn't automatically mean faster delivery. As the bottleneck moves to planning, reviews, and governance, join us as we explore real-world SDLC use cases and interview engineering leaders and software delivery experts on how top teams are adapting to the new era of software development.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Join the Team Talk hosts for a quick recap of the Founder’s Keynote, then head to the expo floor in Amsterdam for a look at the energy, booths, and more from the show floor. Then hear what else is in store for the rest of the day.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Welcome to Team Talk, your live guide to the day ahead at Team ’26 Europe. Get a fast overview of the biggest moments, segments, and activities so you know exactly what to watch for and how to get the most out of the live stream.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Team Talk: Service Collection & Shattering the Service Quo: AI‑Powered Services
Join a live interview with Atlassian’s Service Collection leaders as they unpack the latest announcements and what they mean for an AI‑and‑human service world. Learn how service teams can blend intelligent automation with human empathy to deliver faster, more personalized experiences.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Welcome to Team Talk, your live guide to the day ahead at Team Europe ’26. Get a fast overview of the biggest moments, segments, and activities so you know exactly what to watch for and how to get the most out of the live stream. Then, a conversation with an Atlassian Executive on Leading with Context, exploring how leaders can create clarity, connect teams to the bigger picture, and help people make faster, more confident decisions.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
Close out Team ’26 Europe with an unfiltered conversation featuring two Atlassian Community leaders. They’ll share what the community really took away from the announcements, sessions, and news from Team, and what it all means for customers on the ground.
Janessa Drainville (Atlassian), MaSonya Scott (Atlassian), Sven Peters (Atlassian)
The AA's AI transformation: One connected system to rule strategy, governance, and delivery
Most large organisations have the same problem: strategy lives in one place, execution happens somewhere else, and the gap between them is filled with status meetings, duplicated tools, and invisible work. The AA, the UK's most trusted breakdown service, decided to close that gap for good.
In this session, transformation leaders from The AA and Valiantys share how they replaced a fragmented tool landscape with a single AI-powered operating model built on Jira, Confluence, Loom, and Rovo. The result: a governance and delivery system where Rovo agents do the coordination work that used to consume leadership time, and where strategy and execution are finally connected.
This is a blueprint for CIOs and transformation leaders who are ready to move beyond AI experimentation and embed it into how the organisation actually runs.
What you'll take away:
- An end-to-end operating model architecture: from a Jira Product Discovery "Single Front Door" for all demand intake, to an always-live rolling roadmap that eliminated status decks entirely, to Rovo agents embedded across governance and delivery.
- A faster path from idea to implementation: see how Rovo agents reduced governance overhead and cut cycle time across The AA's COO organisation, and how to replicate the approach in your own enterprise.
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A smarter measurement framework: understand why The AA tracks collaboration scores and team sentiment alongside delivery metrics, and why baselining both from day one is what separates sustainable transformation from a one-time project.
Jo Worthington (The AA), Steve Martin (The AA), Will Oakley (Valiantys)
The compounding advantage: Turning connected context into AI-powered acceleration with Teamwork Collection
Teams don't lack information - they lack the right, connected context to move their work forward. In this keynote, see how Atlassian turns scattered knowledge into a compounding advantage. Powered by the Teamwork Graph – unifying seven layers of context – accelerated by Rovo agents, we'll show how connected workflows across Jira, Confluence, Loom and Rovo unlock work and compound value so your teams and agents deliver better outcomes with every loop. All teams. Any project. On one foundation. Set a new standard for work with a collection designed for human+AI collaboration.
Claire Drumond (Atlassian), Sanchan Saxena (Atlassian)
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