22 & 23 June 2026 | Frankfurt
Agenda
Day 01
Monday, June 22, 2026
- 12:30 PM
- 12:40 PM
- 1:00 PM
We stand on the brink of a new era where enterprises are equipped with advanced systems that are capable of sensing environments, making real-time decisions and executing tasks that allow humans focus on the critical tasks. How do you consider this thinking beyond automation and keeping it a very human evolution?
- 1:30 PM
Most organisations have proven AI can work. Few have proven it delivers enterprise value. The difference lies in how AI is governed, measured and integrated into real operating models. Learn five practical moves you can implement immediately to close the gap between AI ambition and measurable impact. From establishing accountability for human-AI decision-making to aligning AI investments with revenue, risk and customer outcomes, gain a clear framework for turning promising pilots into enterprise results.
- 1:45 PM
AI ROI isn’t theoretical - but many organisations are measuring the wrong things. Logins, licenses, prompt volume, and “time saved” create the illusion of progress while leaving the P&L untouched. Explore the subtle but critical measurement mistakes holding companies back - including the rise of metrics that reward activity over impact. Gain a clearer lens for distinguishing real economic value from adoption theater, and practical ways to shift AI efforts from surface-level usage to meaningful behavioral and workflow change that actually drives financial results.
- 2:20 PM
Every executive wants AI ROI. Almost none can clearly articulate it.
The issue isn’t missing metrics, it’s measuring the wrong things and calling them value. Hours saved and pilot wins look good on dashboards but rarely show up on the P&L.
Examine why AI business cases collapse between pilot and scale, and how to distinguish performance theater from real enterprise impact. Real AI value connects local improvements to financial outcomes: increased throughput, avoided hiring, reduced rework, higher conversion, lower risk. That requires governance before measurement and evidence built step by step—not assumptions that jump straight to ROI.
Listen to enterprise client panelists who have mastered this challenge and learn from hands on best practices.
- 2:55 PM
Many organisations can demonstrate AI success, but far fewer can show where the value actually lands. When AI participates in decisions, traditional ownership and accountability models often break down making it difficult to connect AI initiatives to revenue, risk reduction, or customer impact. Explore how organisations must redesign operating models, decision ownership, and incentives so AI-driven insights translate into measurable enterprise outcomes. Gain a practical framework for linking AI initiatives to business results, clarifying accountability in human-AI decision-making, and building the evidence leaders need to scale what truly delivers value.
- 3:15 PM
Recharge, connect, and spark new ideas as you mingle with peers and industry leaders.
- 3:25 PM
AI isn’t replacing jobs, it’s changing how decisions are made and who owns them. Discover the key shifts shaping the workforce when humans and AI collaborate. Explore how decision rights, escalation paths, and accountability structures must evolve so AI supports rather than confuses human judgment.
- 4:00 PM
Walk away with a governance and operating model framework for human-AI collaboration, including clear decision rights, escalation paths, and criteria for when AI can act independently, assist humans, or must defer entirely.
- What does the workforce look like when decision-making is distributed across humans and machines?
- How do roles, incentives, and performance models change in AI-augmented teams?
- How do you design accountability so autonomy increases trust instead of risk?
- 4:35 PM
As AI becomes an integral decision-making partner, traditional workforce models no longer suffice. Accountability, ownership, and incentives must be reimagined to ensure autonomy builds trust, not risk. Explores how leading organisations are reshaping governance, team structures, and operating models to harness AI’s capabilities while keeping humans in the loop. Gain a concrete framework for human-AI collaboration, including when AI should act independently, assist, or escalate decisions, and how to measure performance and outcomes in this new paradigm.
- 5:30 PM
Entrepreneurs behind innovative solutions will each present pitches on why their technology is best and how it will add the most value to business. After some tough questions from our judges, the audience will have their chance to vote on which technology they are more likely to implement within their own organisations. Who should win this startup challenge?
- 5:35 PM
- 6:30 PM
Day 02
Tuesday, June 23, 2026
- 9:00 AM
- 9:10 AM
- 9:40 AM
AI is no longer optional, it’s an expectation. But real impact comes not from technology alone, but from redesigning how work, decisions, and accountability flow across the enterprise. Explore how organisations can become autonomous enterprises, aligning human-AI decision-making, incentives, operating models, and data foundations to deliver measurable business outcomes. Gain a practical framework to scale AI beyond pilots, drive ROI, and create systems that stand up in the boardroom.
- 10:15 AM
Many organisations celebrate AI efficiency gains but struggle to demonstrate enterprise-level value. Discover a practical model for measuring and scaling AI impact across the business. Learn how to move beyond isolated wins by connecting AI initiatives to revenue growth, risk reduction and customer outcomes. Dive inot clear methods for building CFO-ready ROI cases and prioritising AI initiatives that create lasting value.
- 10:35 AM
Recharge, connect, and spark new ideas as you mingle with peers and industry leaders.
- 10:45 AM
AI isn’t just shifting IT costs, it’s redefining how enterprises create value. Explore the practical levers that determine whether AI adoption delivers sustainable advantage or hidden risk. Learn how to structure partnerships, choose between platforms and custom builds, and make procurement decisions that accelerate adoption without locking you into technical debt.
- 11:20 AM
AI is changing the economics of IT managed services — fast. Work that once needed large teams can now be done in minutes. Productivity is rising. Costs are shifting. Margins are under pressure. But is this a true reset, or just the next wave of IT hype? In sourcing relationships, the key questions are becoming more direct: What kind of value is AI truly creating? How can providers and clients capture their fair share of that value? And how should risks be balanced and priced when AI is embedded in delivery? This discussion will bring together provider and buyer perspectives and explore practical solutions. Expect a balanced debate — optimistic about AI’s potential, yet realistic about the disruption it may bring.
- 11:55 AM
As AI transforms enterprise operations, traditional cost models are no longer enough. Dive into the economics of AI adoption, focusing on how decisions about platforms, licensing, sourcing, and architecture shape long-term control, autonomy, and costs. Gain practical guidance for structuring deals and partnerships, aligning procurement with enterprise objectives, and ensuring today’s choices don’t become tomorrow’s burdens.
- 1:00 PM
Enjoy lunch while engaging in small-group discussions designed to exchange ideas, tackle real-world challenges, and learn from peers.
- 1:30 PM
AI only delivers value when data is fit for real-world use. Learn practical ways to ensure your data can support decisions, not just models. Hear how you can assess data quality, improve integration, and build workflows that turn analytics into actionable results.
- 2:10 PM
Innovative companies will pull back the curtain on their latest innovations, sharing strategic insights and revealing the cutting-edge solutions that are shaping the future of business.
- 2:25 PM
AI is not failing – it is exposing structural weaknesses in how enterprises manage, connect, and govern their data. Most organisations have invested in models, but few have prepared their data architecture for real-time, accountable decision-making at scale – the prerequisite for an autonomous enterprise. Because enterprise data is never complete, leaders must design systems that can act responsibly under uncertainty. Explore the hidden data readiness gap that determines whether autonomy creates value or risk.
- 3:00 PM
Without trust, data is ignored. Discover practical ways to make data auditable, explainable, and reliable for teams across the organisation. Learn how to design simple governance and monitoring processes that ensure AI and analytics outputs can be used confidently for operational decisions.
- 3:35 PM
Discover what data readiness truly requires to support real-time, AI-driven decisions at scale—including contextualisation, trust, observability, and integration into live operating workflows.
- Is your data fit for AI-driven decision-making—or just model training?
- How do you close the gap between analytics outputs and executable decisions?
- How do you prove your data, models, and decisions are auditable, explainable, and ready for autonomy in the real world?
- 3:50 PM
You’ve absorbed ideas, insights, and inspiration—now it’s time to put them to work. ISG will provide guidance on your next steps!
- 4:50 PM