AI transformation starts with the operating model, not the model
Why AI adoption requires redesigning processes, roles, data and decision rights rather than merely selecting technology.
Explore the idea ↗AI transformation journal
Ideas
Practical perspectives on how artificial intelligence changes operating models, team work, data and management decisions.
AI data readiness: seven questions before the first pilot
A practical review of sources, quality, access and ownership before an AI implementation.
Explore the idea ↗How AI agents change team work, not just save time
From automating a task to redistributing roles, controls and accountability across a team.
Explore the idea ↗RAG or AI agent: which one does your workflow need?
How to distinguish grounded enterprise search from an agent that performs actions in business systems.
Explore the idea ↗Why the data platform becomes the foundation of AI transformation
The role of DWH, lakehouse, semantic layers and governed data flows in scaling AI.
Explore the idea ↗AI transformation for SMBs without a large IT programme
How an owner can choose a process, prepare data and achieve a governed result.
Explore the idea ↗Enterprise AI agent governance: from pilots to a portfolio
How to standardise access, evaluation, logging and ownership across many corporate agents.
Explore the idea ↗AI transformation in public administration: where to start
How a community, regional administration or public institution can select a safe first use case.
Explore the idea ↗Human in the loop: where people should remain in an AI workflow
A practical model for distributing decisions between AI and people based on risk, reversibility and uncertainty.
Explore the idea ↗Build or buy: choosing an enterprise AI approach
Criteria for selecting a product, custom implementation or combined architecture.
Explore the idea ↗How to identify processes with the greatest AI potential
A method for selecting use cases by value, repeatability, data readiness and risk.
Explore the idea ↗Shadow AI: turning uncontrolled use into governed change
What to do when employees already use AI without common rules, logging or approved data.
Explore the idea ↗Data quality after AI launch: an operating function, not a cleanup
How to build roles, rules and observability so an AI solution does not degrade after the pilot.
Explore the idea ↗Measuring AI transformation: from activity to business outcome
A measurement system covering quality, adoption, operational impact, risk and total cost.
Explore the idea ↗The first 90 days of AI transformation: a practical roadmap
How to move from process and data mapping to a pilot, measurement and a scaling decision.
Explore the idea ↗First step
Turn the idea into a governed pilot.
We will define the process, data, risks and criteria for making an evidence-based scaling decision.
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