Year: 2026

AI Signals, Early 2026: What We Know, What We Suspect, and Why Business Leaders Should Tell the Two Apart

AI Signals, Early 2026: What We Know, What We Suspect, and Why Business Leaders Should Tell the Two Apart

The AI discourse is loud, often driven by opinion, and the available data is heavily technical. The good news: that is beginning to change. Business...

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85 per cent of employees see no value-adding use case for AI – not because tools are lacking, but because imagination is. What the Imagination Gap means for SMEs.

The Imagination Gap – Why Imagination Is the Real Bottleneck for Successful AI Implementation

Anyone who regularly scrolls through LinkedIn will recognise the pattern: infographics explaining what a large language model is. Carousel posts listing the ten best AI...

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European businesses face a dual challenge in AI adoption: integrating AI not only in administrative functions, but equally in manufacturing. What's missing isn't the technology – it's the imagination to see where AI can help, the leadership to create the right conditions, and a systematic approach to change management.

AI in Manufacturing – Different Shop Floor, Similar Challenges?

When artificial intelligence in business comes up in conversation, most people think of the typical office context: automated emails, intelligent document processing, customer service chatbots,...

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How AI is rewriting the headcount vs value creation equation

How is AI rewriting the headcount vs value creation equation?

Artificial intelligence is changing the traditional equation, in which greater output requires proportionally more staff. Block has cut 40 per cent of its workforce, citing...

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Does the "perfect marketing prompt" really exist, and if not, what works instead? From prompt to professional workflow: five dimensions that make the difference

Does the “perfect marketing prompt” really exist, and if not, what works instead?

“This prompt made my marketing agency redundant”, “The 17 best marketing prompts that are guaranteed to work” or “These unique prompts put you ahead in...

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Why SMEs and family businesses need an AI strategy. This is precisely where an AI strategy creates the necessary clarity. Without one, AI implementation often remains a collection of isolated initiatives that never achieve the expected leverage. Employee concerns go unanswered — a direct consequence of insufficient change management. This is why NordAGI's approach treats AI implementation not merely as an IT challenge, but primarily as a change management undertaking.

AI Strategy for SMEs: Ideas for 2026

The German industry association Bitkom has been tracking AI adoption in German businesses for years. The figures point to a clear trend: just a few...

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AI Relieves and Tempts You to Overwork - Why Learning to Say “No” Is Becoming a Critical AI Competency

AI Relieves and Tempts You to Overwork – Why Learning to Say “No” Is Becoming a Critical AI Competency

It sounds paradox: AI promises to take over routine tasks, optimize workflows and generally lighten our workload. In an earlier post, we explored why the...

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Why Your Most Valuable AI Context Lives in People's Heads. In our recent exploration of Context Quotient, we identified that successful AI implementation depends on teams providing the right business context. The AI models themselves are increasingly capable, but without context about your specific operations, constraints, and history, even the smartest AI produces generic answers that don't work in your situation.

From Tribal Knowledge to Shared Context: Making the Invisible Visible

In our recent exploration of Context Quotient, we identified that successful AI implementation depends on teams providing the right business context. The AI models themselves...

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This second part shows how AI gains more and more context through systematic reviews, evolving from a tool to a real team member. We'll also share the prompts we actually use – ready for you to adopt directly. The Goal: An AI That Knows the Team Everyone knows speech-to-text. That's nothing new. The difference lies in what happens next. An AI that only transcribes is a tool. Useful, but interchangeable. An AI that knows the team's context is something different: It knows what's being worked on. It knows the roles in the team – who's responsible for what, who brings which expertise. It remembers which topics keep coming up and what was decided. It becomes a team member that remembers and thinks along.

How AI Becomes a Full-Fledged Team Member Through Reviews

In Part 1, we covered capturing conversations and thoughts – the foundation for everything that follows. This second part shows how AI gains more and...

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How AI Becomes a Team Member – Capturing Conversations This post is part of our series "AI Workflows for Practice" – insights into short, immediately actionable workflows that show how we've integrated AI into our daily work as a team.

AI Workflows for Practice – How AI Becomes a Team Member – Capturing Conversations

This post is part of our series "AI Workflows for Practice" – insights into short, immediately actionable workflows that show how we've integrated AI into...

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