Arrive, connect, and set the agenda for your day. Registration opens at 7:30 with coffee and a dedicated networking period designed to give delegates, speakers, and solution providers the opportunity to make introductions before the programme begins. Come with your questions — the people best placed to answer them are already in the room.
As agentic AI becomes part of the enterprise operating model, leaders must decide where autonomy ends and human accountability begins. This keynote interview explores how to embed AI agents as a structural layer of the business, build governance that balances oversight with speed, and give boards a clear answer to the question: who is really in charge?
• Transform your operating model by embedding agentic AI as a structural layer.
• Deliver a governance model that protects human oversight where it matters and unlocks agent autonomy where it doesn't.
• Strengthen board-level confidence by arriving with a clear, defensible answer to who is actually in charge.
Agentic AI has become the defining concept in enterprise technology, but definitions vary wildly. In this interview, we deep dive and explore what it means to build an agentic enterprise. Everyone says they’re building Agents; what do they actually mean?
• Define the characteristics that distinguish Agentic AI from traditional AI applications.
• Understand where enterprises are creating measurable value today, and where these
projects are going.
• Identify the strategic opportunities and organizational shifts leaders must prepare for now.
Agentic AI has moved from innovation budget to business-critical investment. Leaders are under pressure to prove the return. This panel explores how enterprises can fund, measure, and scale autonomous agents in ways that link directly to P&L impact.
• Accelerate time-to-value by establishing investment frameworks that align agentic AI spend directly to measurable P&L outcomes from the point of deployment — not after the fact.
• Embed real-time ROI attribution across autonomous agent workflows through governance models that track productivity uplift, cost avoidance, and margin impact at enterprise scale.
• Equip board and finance stakeholders with board-ready metrics that translate agentic AI performance into durable business outcomes — and sustain long-term investment confidence.
Hear rapid-fire 10-minute case studies highlighting tangible returns from enterprise agents in action today.
• Quantify the cost and satisfaction impact of removing human dependency from end-to-end customer resolution workflows.
• Demonstrate measurable resilience gains when AI agents — not people — absorb the first wave of supply chain disruption.
Move beyond the agent pilot and redesign your enterprise operating model for a world where autonomous systems are a structural layer rather than an experiment. How does agent orchestration and architecture combine to make agentic ai deployable at scale?
• Walk away with a clear understanding of how leading organizations are structuring their agentic architectures today, and the decisions that separate scalable systems from costly rebuilds.
• Discover how APIs are evolving to serve agents — not just humans — and what that shift means for how your enterprise connects AI to the tools, data, and workflows that matter.
• Get an inside look at the rise of MCP servers, why they're rapidly becoming the connective tissue of agentic systems, and what early adopters are learning about governance, security, and trust at scale.
Hear rapid-fire 10-minute case studies highlighting tangible returns from enterprise agents in action today.
• AI Agents in Regulated Operational Workflows — Show where agent autonomy accelerates outcomes in regulated environments — and where human sign-off remains a hard requirement.
• Autonomous Document and Knowledge Processing — Convert dormant organisational knowledge into a live, decision-ready asset by deploying agents that reason and act on unstructured content at scale.
• Agentic IT Operations and Incident Response — Measure the operational impact of shifting from reactive human response to proactive agent-led incident resolution.
The hardest workforce questions don't have universal answers — they depend on your industry, your culture, and where you are in the journey. This is your opportunity to work through them with peers who are navigating the same terrain.
• Your organisation has committed to agentic AI — how are you bringing your workforce with you? What change management approaches are actually working, and where is resistance proving harder to shift than expected?
• As agents absorb tasks and reshape roles, how are you redefining performance, accountability, and career progression for the people working alongside them — and what does the "super-professional" model look like in practice in your organisation?
• When agents begin to self-improve and carry persistent memory, what does that mean for how your teams learn, develop expertise, and maintain meaningful oversight — and how are you preparing your people for that shift now?
A working lunch designed for the Momentum AI Frankfurt 2026 community. Join your peers — enterprise buyers, technology leaders, and solution providers — for an informal midday break that keeps the day's conversations moving. Whether you are continuing a discussion from the morning sessions or making a new introduction, this is one of the highest-value hours of the event.
Agentic AI doesn't fail because of the model. It fails because of the data beneath it. This hands-on session tackles the most consistently underestimated barrier to enterprise agentic deployment — the gap between the data infrastructure organisations have and the one autonomous agents actually need to perform reliably at scale.
• Diagnose where your current data estate creates friction for agentic systems — and leave with a prioritised remediation roadmap that targets the highest-impact fixes first, without requiring a full architectural rebuild.
• Build the real-time, context-rich pipelines that agents depend on to reason, act, and recover from errors autonomously — with practical patterns drawn from live enterprise deployments across regulated and high-complexity environments.
• Design reusable data foundations that serve not just today's single-agent workflows but the multi-agent systems that follow — and leave with the internal narrative to secure the investment before your agents are in production and the ROI is proven.
Governing Agents: Building an Agentic AI Framework That Satisfies Regulators, Reassures Boards, and Doesn't Slow You Down
Walk away with a working governance framework, not a theoretical one .This is a hands-on working session built around the real deployment challenges your peers are already facing, giving you a practical agent inventory, risk classification map, and oversight model you can apply the moment you're back in the office
• Get ahead of the EU AI Act before it gets ahead of you — with high-risk AI obligations becoming enforceable in August 2026, this session maps your agentic deployments directly against your compliance exposure and gives you a clear, prioritised path to readiness before the deadline lands
• Turn governance into a competitive argument, not a compliance burden — leave with the board-ready narrative that reframes agentic governance as the architecture of competitive
advantage, giving you the language to accelerate investment and build organisational confidence in your AI programme
Trust is the new currency of innovation. How do you move fast, stay compliant, and build a foundation that sets you apart in the agentic age?
• The Act has a hard deadline — understand exactly where your current agent deployments are exposed and what to do about it before it becomes a board-level problem.
• Learn how CIOs at major European enterprises are building governance into their agentic architecture from day one, without slowing down deployment.
• Leave with a clear framework for turning regulatory compliance into an advantage over competitors who are still treating it as a legal afterthought.
Hear rapid-fire 10-minute case studies highlighting tangible returns from agents in action in enterprise today.
• Multi-Agent Financial Risk Monitoring — A network of agents continuously scanning for compliance, fraud, or market risk signals and autonomously triggering responses — with lessons on oversight and auditability.
• Autonomous Code Development and Testing — AI agents planning, writing, testing, and deploying code with minimal human input, and what this means for engineering team structure and productivity metrics.
• Agentic Procurement and Supplier Management — Agents autonomously managing RFPs, supplier comparisons, and contract renewals — with measurable efficiency gains and governance lessons learnt.
Agency is a transfer of power; how much decision-making should you give to AI Agents? Organisations now face a new governance challenge, deciding which decisions can be delegated, which require humans in the loop, and where accountability ultimately sits.
• Understand how organisations are determining where agent autonomy begins and human accountability ends.
• Learn how this leading enterprise is establishing decision-rights frameworks for autonomous systems.
• Build a governance model that balances speed, innovation, and executive oversight.
Autonomy is reshaping roles, decisions, and teams. The winners will be those who rethink the organisation, not just the tech.
• Redesign roles and team structures for a hybrid human-agent enterprise — moving beyond fear of replacement to build the "super-professional" model where people and agents make each other more capable.
• Build the cultural conditions that make human-agent collaboration actually work at the frontline — where trust, adoption, and day-to-day behaviour determine whether your agentic investment delivers or stalls.
• Lead the workforce transition without losing momentum — with practical approaches to change management, upskilling, and sustaining organisational confidence through multi-year agentic transformation.
Hear rapid-fire 10-minute case studies highlighting tangible returns from agents in action in enterprise today.
• AI is leaving the dashboard and entering the physical world. This session explores what autonomous robots and physical AI systems mean for enterprise operations, workforce design, and competitive advantage.
• This session explores what happens when agents don't just follow workflows — they analyse, optimise, and redesign them, and what that means for governance.
• This session examines what becomes possible when agents carry persistent organisational memory — and what it means for how your enterprise learns and operates.
A knowledge exchange between experts on stage discussing the pressing topic of European data sovereignty as the industry evolves, and we look forward to 2027 and beyond. We encourage audience members to get involved in this discussion throughout the panel with live questions after experts frame the discourse and welcome all points of view.
Close the day with a forward-looking conversation from the practitioners and strategists closest to the frontier — and leave with a sharper view of what will separate the enterprises that lead in 2027 from those that are still catching up.
• Hear expert projections on where agentic AI capability is heading — from self-improving agent networks and persistent memory to physical AI and fully autonomous enterprise functions — and what the realistic adoption curve looks like beyond the current wave.
• Identify the strategic decisions you need to make now to remain competitive as the capability, cost, and regulatory landscape shifts — including where to build, where to buy, and where to wait.
• Walk away with a prioritised view of the trends most likely to reshape your industry in the next 12–18 months, grounded in what is already in production today and what the leading indicators are telling us about what comes next.
Step away from the agenda and into the room where the real conversations happen. The Networking Drinks Reception brings together the full Momentum AI Frankfurt 2026 community for an unstructured evening of peer exchange, partnership building, and follow-up conversation. No slides. No schedule. Just the right people in the right room.
Agentic AI has become the defining concept in enterprise technology, but definitions vary wildly. In this interview, we deep dive and explore what it means to build an agentic enterprise. Everyone says they’re building Agents; what do they actually mean?
• Define the characteristics that distinguish Agentic AI from traditional AI applications.
• Understand where enterprises are creating measurable value today, and where these
projects are going.
• Identify the strategic opportunities and organizational shifts leaders must prepare for now.
Agentic AI has moved from innovation budget to business-critical investment. Leaders are under pressure to prove the return. This panel explores how enterprises can fund, measure, and scale autonomous agents in ways that link directly to P&L impact.
• Accelerate time-to-value by establishing investment frameworks that align agentic AI spend directly to measurable P&L outcomes from the point of deployment — not after the fact.
• Embed real-time ROI attribution across autonomous agent workflows through governance models that track productivity uplift, cost avoidance, and margin impact at enterprise scale.
• Equip board and finance stakeholders with board-ready metrics that translate agentic AI performance into durable business outcomes — and sustain long-term investment confidence.
Hear rapid-fire 10-minute case studies highlighting tangible returns from enterprise agents in action today.
• Quantify the cost and satisfaction impact of removing human dependency from end-to-end customer resolution workflows.
• Demonstrate measurable resilience gains when AI agents — not people — absorb the first wave of supply chain disruption.
Move beyond the agent pilot and redesign your enterprise operating model for a world where autonomous systems are a structural layer rather than an experiment. How does agent orchestration and architecture combine to make agentic ai deployable at scale?
• Walk away with a clear understanding of how leading organizations are structuring their agentic architectures today, and the decisions that separate scalable systems from costly rebuilds.
• Discover how APIs are evolving to serve agents — not just humans — and what that shift means for how your enterprise connects AI to the tools, data, and workflows that matter.
• Get an inside look at the rise of MCP servers, why they're rapidly becoming the connective tissue of agentic systems, and what early adopters are learning about governance, security, and trust at scale.
Hear rapid-fire 10-minute case studies highlighting tangible returns from enterprise agents in action today.
• AI Agents in Regulated Operational Workflows — Show where agent autonomy accelerates outcomes in regulated environments — and where human sign-off remains a hard requirement.
• Autonomous Document and Knowledge Processing — Convert dormant organisational knowledge into a live, decision-ready asset by deploying agents that reason and act on unstructured content at scale.
• Agentic IT Operations and Incident Response — Measure the operational impact of shifting from reactive human response to proactive agent-led incident resolution.
The hardest workforce questions don't have universal answers — they depend on your industry, your culture, and where you are in the journey. This is your opportunity to work through them with peers who are navigating the same terrain.
• Your organisation has committed to agentic AI — how are you bringing your workforce with you? What change management approaches are actually working, and where is resistance proving harder to shift than expected?
• As agents absorb tasks and reshape roles, how are you redefining performance, accountability, and career progression for the people working alongside them — and what does the "super-professional" model look like in practice in your organisation?
• When agents begin to self-improve and carry persistent memory, what does that mean for how your teams learn, develop expertise, and maintain meaningful oversight — and how are you preparing your people for that shift now?
Agentic AI doesn't fail because of the model. It fails because of the data beneath it. This hands-on session tackles the most consistently underestimated barrier to enterprise agentic deployment — the gap between the data infrastructure organisations have and the one autonomous agents actually need to perform reliably at scale.
• Diagnose where your current data estate creates friction for agentic systems — and leave with a prioritised remediation roadmap that targets the highest-impact fixes first, without requiring a full architectural rebuild.
• Build the real-time, context-rich pipelines that agents depend on to reason, act, and recover from errors autonomously — with practical patterns drawn from live enterprise deployments across regulated and high-complexity environments.
• Design reusable data foundations that serve not just today's single-agent workflows but the multi-agent systems that follow — and leave with the internal narrative to secure the investment before your agents are in production and the ROI is proven.
Trust is the new currency of innovation. How do you move fast, stay compliant, and build a foundation that sets you apart in the agentic age?
• The Act has a hard deadline — understand exactly where your current agent deployments are exposed and what to do about it before it becomes a board-level problem.
• Learn how CIOs at major European enterprises are building governance into their agentic architecture from day one, without slowing down deployment.
• Leave with a clear framework for turning regulatory compliance into an advantage over competitors who are still treating it as a legal afterthought.
Hear rapid-fire 10-minute case studies highlighting tangible returns from agents in action in enterprise today.
• Multi-Agent Financial Risk Monitoring — A network of agents continuously scanning for compliance, fraud, or market risk signals and autonomously triggering responses — with lessons on oversight and auditability.
• Autonomous Code Development and Testing — AI agents planning, writing, testing, and deploying code with minimal human input, and what this means for engineering team structure and productivity metrics.
• Agentic Procurement and Supplier Management — Agents autonomously managing RFPs, supplier comparisons, and contract renewals — with measurable efficiency gains and governance lessons learnt.
Agency is a transfer of power; how much decision-making should you give to AI Agents? Organisations now face a new governance challenge, deciding which decisions can be delegated, which require humans in the loop, and where accountability ultimately sits.
• Understand how organisations are determining where agent autonomy begins and human accountability ends.
• Learn how this leading enterprise is establishing decision-rights frameworks for autonomous systems.
• Build a governance model that balances speed, innovation, and executive oversight.
Autonomy is reshaping roles, decisions, and teams. The winners will be those who rethink the organisation, not just the tech.
• Redesign roles and team structures for a hybrid human-agent enterprise — moving beyond fear of replacement to build the "super-professional" model where people and agents make each other more capable.
• Build the cultural conditions that make human-agent collaboration actually work at the frontline — where trust, adoption, and day-to-day behaviour determine whether your agentic investment delivers or stalls.
• Lead the workforce transition without losing momentum — with practical approaches to change management, upskilling, and sustaining organisational confidence through multi-year agentic transformation.
Hear rapid-fire 10-minute case studies highlighting tangible returns from agents in action in enterprise today.
• AI is leaving the dashboard and entering the physical world. This session explores what autonomous robots and physical AI systems mean for enterprise operations, workforce design, and competitive advantage.
• This session explores what happens when agents don't just follow workflows — they analyse, optimise, and redesign them, and what that means for governance.
• This session examines what becomes possible when agents carry persistent organisational memory — and what it means for how your enterprise learns and operates.
A knowledge exchange between experts on stage discussing the pressing topic of European data sovereignty as the industry evolves, and we look forward to 2027 and beyond. We encourage audience members to get involved in this discussion throughout the panel with live questions after experts frame the discourse and welcome all points of view.
Close the day with a forward-looking conversation from the practitioners and strategists closest to the frontier — and leave with a sharper view of what will separate the enterprises that lead in 2027 from those that are still catching up.
• Hear expert projections on where agentic AI capability is heading — from self-improving agent networks and persistent memory to physical AI and fully autonomous enterprise functions — and what the realistic adoption curve looks like beyond the current wave.
• Identify the strategic decisions you need to make now to remain competitive as the capability, cost, and regulatory landscape shifts — including where to build, where to buy, and where to wait.
• Walk away with a prioritised view of the trends most likely to reshape your industry in the next 12–18 months, grounded in what is already in production today and what the leading indicators are telling us about what comes next.
