Designing the AI-Native Enterprise
Artificial intelligence is no longer just a pilot project. In 2026, the real question is not how to adopt AI — but how to run your enterprise with it.
Join us in for a cross-industry event for business leaders, strategists, and practitioners looking for game-changing strategic insights, business growth and actionable know-how. Across three focused 2026 themes — AI-native operating models & discipline and AI economics & competitive advantage — we examine how organizations are redesigning architecture, processes, skills and accountability to operate in an era of autonomous systems.
Expect concrete case studies, production deployments, architectural decisions and hard-earned lessons.
Insightful Themes
From AI Projects to AI-Native Operating Models
How leaders can embed data and AI into corporate strategy and operations while safeguarding human judgment, culture, and long-term value creation.
Governance, Skills and Operating Discipline
How to actually run AI inside an enterprise, skill taxonomy, decision rights u0026amp; accountability, Risk discipline u0026amp; runtime controls
Economics and Competitive Advantage
Where structural value is created and captured, AI cost structures, ROI frameworks for autonomous systems, future competitiveness
Data & AI Strategist, Business Advisor, Board Chair & Member (NO)
Elin Hauge
Senior Advisor, Author, Founder and CEO, AI Keynote Speaker (SE)
Nicholas Fernholm
Head of Responsible AI & AI Strategy, NatWest Group, Ex Co-Chair of Ethics Board, C-suite advisor, Harvard Business School (UK)
Paul Dongha
Nina Rahkola
Documentarist, Journalist
Nicola Holmes
Lead of the Data, Analytics & AI Center of Excellence, Kemira
Kaiku Kettunen
AI Enablement Team Lead and Managing Consultant, Norrin
Janne Vilppula
Engineer, Data & AI, Matkahuolto
Sini Kervinen
Director of Tech & Innovations and Nordic AI & Innovations Lead, Bauer Media Audio Finland
Vesa Palmu
Founder, Mearra
Mikko Lehtinen
Head of Information Management, Kempower
Juho Räsänen
Chief Digital Officer, Cloud2
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Wednesday 7.10.
WE OPEN THE DOORS & WELCOME
OPENING REMARKS BY OUR MODERATORS
Jesse Kamras Journalist, News Reporter
Janne Sipilä Business Development Director, twodayadd_2 closeOPENING KEYNOTEFUTURE OF LEADERSHIP – THE POWER OF DATA & AI
Elin Hauge Data & AI Strategist, Business Advisor, Board Chair & Member (NO)Technology is reshaping how organizations compete, innovate, and make decisions. In this opening keynote, Elin explores how leaders can embed data and AI into corporate strategy and operations while safeguarding human judgment, culture, and long-term value creation.
Cutting through the hype, the session clarifies how to align data and AI investments with real business priorities and measurable impact. As adoption accelerates, trust, accountability, and governance become decisive. Elin shows how leadership must evolve to balance innovation with responsibility and build transparent, ethical, and resilient organizations
add_2 closeBUILDING DOMAIN SPECIFIC MODELS THAT CREATE STRUCTUAL ADVANTAGE
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Why domain intelligence will separate AI enabled from AI native organizations
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Building AI capabilities competitors cannot easily replicate
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Owning the model layer versus depending on external platforms
NETWORKING & COFFEE BREAK
add_2 closeCASESTOP FUNDING AI PROJECT – START BUILDING AI CAPABILITITES
Nicola Holmes Lead of the Data, Analytics & AI Center of Excellence, Kemira
Kaiku Kettunen AI Enablement Team Lead and Managing Consultant, Norrin- In an ocean of AI ideas, how do you identify the ones worth pursuing? How to identify which AI investments create durable competitive advantage — and which are just noise?
- One-off AI systems deliver one-off value. How do leading organizations transform isolated solutions into reusable capabilities that scale across business units, use cases, and products?
- AI is only as valuable as the data behind it. Why connecting data to real business context is the foundation of AI value — and what separates organizations that compound their advantage from those that stall?
add_2 closeFROM DATA TO DECISIONS WITH LLMs AND MACHINE LEARNING
Janne Vilppula Engineer, Data & AI, Matkahuolto- How trusted data enables reliable AI-driven decision-making
- Practical lessons from deploying LLMs and machine learning in production
- Building AI capabilities that create value beyond individual use cases
LUNCH & NETWORKING BREAK
add_2 closeKEYNOTETHE SCANDINAVIAN AI EXECUTION GAP
Nicholas Fernholm Senior Advisor, Author, Founder and CEO, AI Keynote Speaker (SE)Why Scandinavia is struggling to turn AI Strategy into Business Impact
- Why having an AI strategy is no longer enough — execution is becoming the real competitive differentiator
- What separates isolated AI projects from measurable, organization-wide business impact
- Why workflows, decision-making and operating models need to change — not just the tools
- How leaders can move from experimentation to scalable AI adoption without creating organizational paralysis
add_2 closeCASE: MINIMISING PROCESS TIMES WITH AI, USING AI ERA PROJECT MODEL
Sini Kervinen Director of Tech & Innovations and Nordic AI & Innovations Lead, Bauer Media Audio Finland
Vesa Palmu Founder, MearraDiscover how Bauer Media and Mearra transformed a business-critical process using AI and the AI ERA Project Model, reducing process times and delivering measurable business value.
- How Bauer Media’s Audiomator reduces process times from weeks to minutes through AI-driven workflow redesign
- How the Mearra Method accelerates stakeholder alignment and implementation
- The power of PoDs (Proofs of Direction) in making software solutions visible, tangible and actionable
NETWORKING & COFFEE BREAK
add_2 closeCOMPETING AGAINST AI NATIVE COST BASES
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How automation changes fixed versus variable cost dynamics
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When AI investments reduce cost and when they increase complexity
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Preparing your capital allocation strategy for AI driven operating leverage
add_2 closeCLOSING KEYNOTEWHEN MACHINES MAKE DECISIONS – WHO HOLDS THE POWER AND WHO HOLDS THE RISK
Paul Dongha Head of Responsible AI & AI Strategy, NatWest Group, Ex Co-Chair of Ethics Board, C-suite advisor, Harvard Business School (UK)In an era where agents execute transactions, models influence credit decisions, and algorithms shape strategic outcomes, power inside the enterprise is being redefined. Accountability, governance, and economic control must evolve at the same pace as automation.
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- What is Responsible AI & Why do we need it?
- In a world of AI Agents, Responsible AI is no longer a compliance function but a strategic discipline
- How to Implement Responsible AI in your Organization
- AI Strategy: What Boards and executives must rethink before 2027
END REMARKS BY OUR MODERATORS
Nina Rahkola Documentarist, Journalist
Jesse Kamras Journalist, News ReporterMUSIC & MINGLE
EVENT ENDS & THANK YOU!
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