01
AI is not the transformation.
Technology alone does not change organizations.
Sustainable transformation requires changes in leadership, operating models, governance, incentives, and ways of working.
Enterprise AI Transformation Leader
Builder of AI Operating Models
· Advisor · Speaker
Enterprise AI,
operationalized at scale.
I design enterprise AI operating models: governance, adoption, measurement, and change management that move large organizations from AI experimentation to repeatable execution and measurable business impact.
Based
Espoo, FI
Focus
AI Operating Models
Scale
74k+ employees
01 · PROOF
Outcomes, not opinions.
Every number below is measured against a baseline and reported to senior leadership. No vanity metrics, no projections.
45%
Increase in active AI tool usage across R&D
5×
Scale-up of an AI requirements-assistant use case in 8 weeks
31
Engineer-years of annual capacity unlocked (~1,160 hrs/week)
100:1
Return on execution effort vs. non-BAU hours invested
74k
Employees in the performance program rolled out globally
255
Roadmap items governed across 20 cross-functional workstreams
02 · PERSPECTIVE
How I Think
Most AI transformations don’t fail because of technology.
They fail because strategy, operating models, governance, adoption, and measurement are treated as separate initiatives rather than a connected system.
My work focuses on helping organizations close those gaps and turn AI ambition into measurable business outcomes.
02
Adoption matters more than capability.
Most organizations already have access to powerful AI tools.
The challenge is creating sustained adoption, behavior change, and measurable business impact.
03
Business value is the final metric.
Strategies, pilots, governance frameworks, training programs, and transformation initiatives only matter if they create meaningful outcomes.
Value creation is the objective. Everything else is an enabler.
04
Transformation succeeds as a system.
Strategy, operating models, governance, adoption, and measurement should not be optimized independently.
Organizations create lasting value when all elements of the transformation system work together.
03 · FRAMEWORK
From Strategy to Business Value
AI Transformation Value Chain
Most AI initiatives struggle because they focus on individual components rather than the system that connects them.
Sustainable AI transformation requires a clear path from strategic intent to measurable business outcomes.
From intent to outcomes
Six connected stages that turn AI ambition into measurable business value.
Each stage answers a distinct question. Weak links in the chain limit what the others can deliver.
- 01
Strategy
What are we trying to achieve?
Define the business outcomes, strategic priorities, transformation ambition, and success criteria that AI should enable.
- 02
Operating Model
How do we organize for success?
Establish ownership, decision rights, roles, capabilities, and execution structures required to turn strategy into coordinated action.
- 03
Governance
How do we make decisions and manage risk?
Create the guardrails, accountability, policies, and decision mechanisms needed to scale AI responsibly without unnecessarily slowing execution.
- 04
Adoption
How do we change behaviors and ways of working?
Build leadership alignment, capabilities, communication, communities, and change mechanisms that embed AI into everyday work.
- 05
Measurement
How do we know what is working?
Define adoption indicators, outcome metrics, feedback loops, and value-tracking mechanisms that support evidence-based decisions.
- 06
Business Value
How do we create lasting outcomes?
Translate execution and adoption into measurable productivity, innovation, operational, customer, and strategic outcomes.
04 · WORK
Programs that moved the number.
Four representative initiatives. Each one is the same shape: a measurable problem, a structured intervention, an outcome leadership can steer on.
2026 · Present
Nokia · Enterprise AI Transformation (Keystone)
Company-wide AI enablement playbook
- Problem
- AI adoption was fragmented across decentralized business segments with no shared operating model.
- Action
- Designed a holistic enablement playbook spanning leadership, governance, tooling, and team-level adoption. Operationalized lightweight controls, rapid pilots, and continuous feedback loops.
- Outcome
- Enterprise rollout of Cursor, Glean, and Microsoft 365 Copilot with measurable adoption across business segments.
2020 · Present
Nokia · System-on-Chip R&D
Adoption-first AI execution across engineering
- Problem
- AI tools existed in pockets, with no mechanism to convert access into engineering throughput.
- Action
- Built a structured enablement model with metrics, training, champion networks, and lightweight governance, and rolled out Copilot (M365 + Premium), GitHub Copilot, and Cursor across the SoC unit.
- Outcome
- +45% active usage. 5× scale-up of a requirements-assistant use case in 8 weeks. ~31 engineer-years of annual capacity unlocked at ~100:1 return on execution effort.
2025
Nokia · Chief People Office (Rotation)
Perform to Win: global performance transformation
- Problem
- Performance management was a periodic process, disconnected from real-time execution at 74,000-person scale.
- Action
- Orchestrated the global rollout, aligning executive intent with execution across 20 cross-functional workstreams and 255 roadmap items.
- Outcome
- Embedded performance management as a living operating system. Delivered 100% of annual objectives.
2022 · 2025
Nokia · 5G/6G Silicon R&D
Deep-tech program leadership
- Problem
- Multi-million-euro semiconductor roadmaps with high technical and delivery risk.
- Action
- Directed feasibility-to-delivery for 5G/6G hardware programs, instrumenting execution realism and cross-functional coordination.
- Outcome
- On-plan delivery of high-complexity silicon programs; foundation for the execution discipline now applied to enterprise AI.
05 · ADVISORY
From ambition to action.
Strategic guidance for executives, founders, and transformation leaders navigating AI adoption, operating models, governance, organizational change, and execution at scale.
Drawing on hands-on experience leading enterprise AI transformation initiatives, I help leaders navigate complex decisions, accelerate adoption, and turn AI ambition into measurable business outcomes.
My advisory work applies the AI Transformation Value Chain to help leaders connect strategic ambition with the operating structures, governance, adoption mechanisms, and measurement systems required to deliver business value.
Enterprise leadership
Board-level and C-suite decision support on AI transformation strategy, investment prioritization, and organizational readiness.
Transformation offices
Operating model design, program structure, and execution discipline for company-wide AI enablement.
AI adoption programs
Governance frameworks, champion networks, tooling strategy, and adoption measurement at scale.
Scaling organizations
Strategic guidance for high-growth and complex enterprises moving from AI experimentation to repeatable execution.
Start with a paid Advisory Discovery Session (€250, 60 minutes).
Submit your challenge and the outcome you are seeking. I review every request personally and will contact you regarding potential fit, availability, payment method, and next steps.
The session provides strategic guidance, practical recommendations, and relevant frameworks, playbooks, or resources where applicable.
06 · SPEAKING
Keynotes & executive conversations.
Available for keynotes, panels, roundtables, executive retreats, and leadership offsites. I speak to leaders who need clarity on what actually works, not what vendors promise.
Talks are grounded in field experience: measurable adoption programs, governance design, and operating models built inside one of the world’s most complex R&D organizations.
Recent engagements
2026Opening keynoteVerge at Epicenter
From Co-Pilots to Colleagues: Leading the Agentic Workforce
Opening keynote on what it takes to lead an agentic workforce, grounded in operating models and field-tested adoption programs.
2025Keynote & workshopDASH
From Failure to Success: Design Thinking + AI in Innovation and Transformation
Keynote and executive workshop on design thinking and AI for innovation and transformation, with technology students and entrepreneurs.
2025PanelSustainability MENA Hackathon
AI in Sustainability and the Future of Work
Panel discussion on AI's role in sustainability and the future of work, alongside regional innovators and industry leaders.
Formats
- KeynotesExecutive audiences on AI transformation at scale
- PanelsIndustry and leadership forums on enterprise AI
- RoundtablesClosed-door sessions with transformation leaders
- Executive retreatsStrategy offsites and leadership immersions
- Leadership offsitesWorking sessions on operating model design
Speaking themes
- Enterprise AI Transformation
- AI Adoption at Scale
- AI Operating Models
- Leadership in the AI Era
- Future of Work
- Innovation & Organizational Change
07 · ABOUT
From silicon to operating models.
My career has taken me through engineering, semiconductors, enterprise transformation, startup advisory, and investing.
What has remained constant throughout that journey is curiosity.
Curiosity about how complex systems work. How technology creates value. How organizations evolve. And how people turn ambitious ideas into meaningful outcomes.
Early in my career, I believed the hardest problems were technical. Experience taught me something different.
Working across global organizations, cross-functional teams, startups, and transformation programs showed me that technology rarely creates lasting change on its own. Real transformation happens when people align around a common purpose, make better decisions together, and create the conditions for ideas to become action.
That realization continues to shape how I think about AI adoption, operating models, governance, and organizational change. Today, my work focuses on helping organizations translate technological potential into measurable business outcomes while supporting founders building the next generation of technology-driven companies.
Continuous learning has also remained central to my journey. I believe growth comes from curiosity, embracing change, and having the courage to keep learning when the path is not yet clear.
Curiosity
Understanding how complex systems work and how they can be redesigned for greater impact.
Continuous Learning
Growth comes from questioning assumptions, embracing change, and remaining open to new ways of thinking.
Execution
Ideas only matter when they become outcomes. Strategy, governance, adoption, and measurement exist to create business value.
08 · LET’S TALK
Building AI transformation that lasts?
I work with leaders, transformation teams, founders, investors, and event organizers navigating AI adoption, operating models, governance, and organizational change.
Advisory
Strategic guidance on AI transformation, operating models, governance, adoption, and measurement.
Speaking
Keynotes, workshops, executive briefings, panels, and leadership events.
Media, Podcasts & Interviews
Podcast hosts, journalists, event moderators, and media producers seeking interviews on AI transformation, leadership, innovation, and the future of work.
Everything Else
Partnerships, recruiting opportunities, startup discussions, investor conversations, community initiatives, collaborations, and general inquiries.
Not sure where your request belongs? Submit it here and I will make sure it reaches the appropriate path.