AI Strategy · Product Thinking · Organisational Change

Daniel Eder

Building organisations that can make AI useful.


AI strategy, product thinking, and organisational change for the real world.

I help organisations move from scattered experiments and shiny demos to AI solutions that solve real problems, fit their operating reality, and create lasting value.

My work sits at the intersection of AI strategy, product thinking, organisational change, and delivery: identifying valuable opportunities, shaping viable solutions, and building the capabilities required to make AI stick.

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Profile

About Daniel

I am an AI and transformation leader working at the intersection of technology, business, and organisational change.

My background spans software development, product thinking, agile delivery, leadership, consulting, and organisational transformation. Over the years, I have worked with teams and leaders who were trying to make complex change real: modernising products, improving delivery, building stronger organisations, and creating environments where people can do their best work.

Today, my focus is AI.

As Team Lead AI at Akkodis Austria, I work with organisations to turn AI ambition into practical solutions and lasting capability. That includes shaping AI strategies, identifying and prioritising use cases, designing prototypes and delivery paths, and helping teams establish the governance, skills, and operating models needed to scale responsibly.

I am especially interested in the space where AI meets real operational work: knowledge-heavy processes, engineering, mobility, industrial organisations, public-sector services, and the difficult craft of making new technology genuinely useful.

I do not believe the future belongs to organisations with the largest models or the loudest AI announcements. It belongs to organisations that learn how to choose the right problems, build trust, and turn technology into better decisions and better work.

Outside of client work, I write about AI, organisational change, digital sovereignty, technology, and the occasionally unruly relationship between humans and systems.

"Daniel's approach to digital transformation is both innovative and practical, making him a key driver in any organizational journey towards agility and excellence." - Client in Gaming

"His expertise in technical topics (software architecture, design & programming) and organizational topics (structures, agility & collaboration) are a great combination." - Stefan Gwihs, Practice Lead DevOps

"Daniel is a brilliant and visionary thinker with a lot of experience in creating modern organizations. He is fully engaged and always gives his best. With him, our topics are in the right hands!" - Hannes Färberböck, Business Unit Lead

"Daniel's positive commitment to caring for the well-being of the team, open and solution-oriented approach, and his respectful and appreciative treatment of colleagues so that we can all perform at the best of our ability." - Roland Germ, Technical Agile Coach

"Daniel played a pivotal role in modernizing our legacy software transforming it into a cutting-edge platform. His strategic vision and technical expertise were instrumental in rejuvenating our product and enhancing our development processes." - VP Engineering in Manufacturing & Industrial Automation

Capabilities

Where I Help

AI Strategy & Prioritisation

Turning broad AI ambition into clear priorities, realistic roadmaps, and decisions that people can act on.

Generative AI & Intelligent Workflows

Designing AI assistants, knowledge solutions, and workflow automation that support people in their actual work.

Sovereign & Responsible AI

Balancing innovation with privacy, governance, security, and control over data, models, and platforms.

From Idea to Adoption

Helping teams move from workshop to proof of concept, from prototype to delivery, and from delivery to sustainable capability.

Perspective

AI Is Not Only a Technology Problem

Many organisations approach AI as a tooling question. The harder questions are usually elsewhere.

  • Which problems are actually worth solving?
  • How do teams trust and adopt AI-supported ways of working?
  • What governance is needed without killing momentum?
  • Which capabilities should be built internally, bought externally, or developed with partners?
  • How do you turn one successful pilot into something that scales?

I work across technology, organisation, and people because useful AI needs all three.

Proof Points

Work & References

Writing

Blog

Current writing explores AI strategy and adoption, digital sovereignty, technology and society, organisation and leadership, and product delivery.

Earlier articles on agile organisations, product delivery, and transformation remain available as a curated archive. Many of the questions remain relevant, even if the vocabulary has changed.