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In the fast-paced world of enterprise asset management is a critical differentiator. Join this dynamic panel featuring leaders from Atlassian customers as they share their journeys in leveraging ITSM asset management solutions to gain visibility, control, and agility over their hardware and software assets. Discover how these organizations have transformed their asset management practices to support innovation, ensure compliance, and maximize operational efficiency.
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.
Predicting where AI goes next is nearly impossible. What you can control is how ready your organization is when it gets there.
Agents are already a way of life for enterprise teams — automating workflows, making decisions, and accessing sensitive data across your organization. Governing that is table stakes. But technology keeps evolving, and the organizations that will win with AI aren't the ones who predicted every change. They're the ones who built a foundation flexible enough to handle whatever comes next.
In this session, Atlassian and [Customer] will share how leading enterprises are shifting from reactive AI governance to a proactive foundation of context-aware protections that give teams the confidence to move fast. We'll cover what it looks like in practice to stop chasing AI and start setting the conditions for it to flourish across teams, regions, and sensitive workflows.
You'll leave with a concrete framework for building a governance foundation that doesn't slow innovation down. It's what makes innovation possible.
This session is designed for IT leaders, security teams, and compliance professionals responsible for scaling AI adoption across regulated environments.
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
Johannes Tegethoff (HiQ GmbH)
Customer service is often where the richest signals about product quality, incidents, friction, and unmet needs first appear — yet those insights can get trapped in support tools and handoffs. In this 15-minute theatre session, we’ll show how Atlassian Customer Service Management brings customer service into the Atlassian System of Work.
Attendees will see how CSM, powered by AI and the Teamwork Graph, gives support teams the context to deliver faster, more personalised service while staying connected to software, IT, and product teams. Instead of re-explaining issues across systems, teams can collaborate from a shared view of the customer, related incidents, feature requests, knowledge, and work already happening across Atlassian tools; all whilst customers benefit from faster resolutions, and more personalised service.
VodafoneZiggo’s AI transformation started with an onsite workshop to identify the highest-impact AI use cases for the business. From there, VodafoneZiggo and Atlassian collaborated to design and deploy custom Rovo agents. Basak Erdogan (Technical Platform Lead) partnered with Atlassian’s AI specialist to build an end-to-end agentic workflow, from Loom-captured planning sessions through structured Jira Epics to automated sprint rituals with zero manual reporting. In five months, agent interactions grew 20x and monthly active users scaled 5x across Marketing, tech teams, and beyond.Basak will share the honest story of going from a single workshop to organisation-wide AI adoption at one of Europe’s largest telcos, with active POCs of more use cases still to come.
Key Takeaways
- Start with the business, not the technology — how an onsite workshop with the CMO and 7 marketing leaders identified the use cases with the highest measurable impact, ensuring AI adoption was anchored to real business priorities from day one.
- From ideation to deployment through partnership — how VodafoneZiggo collaborated with Atlassian's AI specialist to design and deploy Rovo agents that drove 20x growth in agent interactions and eliminated manual quarterly-planning overhead for Marketing squads.
- Value that scales beyond Marketing — how the same patterns expanded into tech teams, proving that a focused starting point (one workshop, one function) can become a cross-functional accelerator across the enterprise.
Basak Erdogan (VodafoneZiggo)
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
Session concept:
Replicating the highly successful customer panel format from TEAM '26 Anaheim (4.7/5 speaker score, 199 attendees, recommended for repeat). European TAS customers who have completed or are actively engaged in Transform with Rovo share how they moved from AI experimentation to real, measurable workflows — peer-to-peer.
Customer sourcing approach:
Panelists would be drawn from customers TAS EMEA has engaged through Transform with Rovo, each with strong internal champions and adoption proof points. Customers haven't been solidified yet so you can reach out to me or Raif. A shortlist has been prepared with input from the EMEA team, such as, TomTom, Personio, and Vodafone Ziggo.
Moderator / Panel lead:
Submitted on behalf of the TAS EMEA team. Final panel moderator TBC — preference is for a team member who is closer to the customer work and has existing relationships with panelists (similar to how Chance's rapport drove success in Anaheim). I'm happy to remain as backup or support the selected lead with logistics and prep.
Why this matters for Team '26 Europe:
- Proven format: Anaheim's panel was recommended for repeat by the AI track team
- Credible European stories: customers span HR-tech, banking, retail, mapping, and telecom
- Aligns with the "customer-led" and "practical value" priorities in the CFS brief
- TAS EMEA already has the customer relationships to make this work
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.
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.
When a legacy ITSM platform becomes too expensive, too slow, and too rigid, something has to give. In this session, you'll hear how one team migrated 4,000+ users to JSM in just 4.5 months — and what they learned when they realized staying close to old processes wasn't enough. From that foundation, JSM expanded beyond IT into HR, Procurement, Facilities, and subsidiaries across Europe, evolving into a full Service Engineering Platform where CMDB schemas, SLAs, and routing rules are versioned in Git and deployed through CI/CD. This is an honest look at a transformation still in progress — covering real decisions, real tradeoffs, and a clear-eyed path toward AI agents and Infrastructure as Code.
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.
George Shubitidze (TBC Bank), Giorgi Tsitskishvili (TBC Bank)
