A new phase in the AI journey Artificial intelligence has already transformed how organizations operate, from automating workflows to personalizing customer experiences. But we’re now entering a new phase: one where AI stops being a passive assistant and starts becoming an active participant  in business processes. This phase is powered by AI agents , autonomous or semi-autonomous digital entities that can understand context, make decisions, and take action across systems. Wh

Automation is only the beginning For most organizations, the first phase of artificial intelligence adoption has been about efficiency. Automating manual tasks. Streamlining operations. Reducing costs. That’s an important start, but it’s not where the real potential of AI lies. If we only use AI to do what we already do, but slightly faster, we’re missing the point. The real opportunity is to create entirely new value , like new products, new services, new revenue streams, an

By John Kårikstad, Group CEO, Forte Digital AI is no longer a side project Artificial intelligence is moving fast, much faster than most leadership teams anticipated. New models are released monthly, and breakthroughs happen almost daily. What was once a futuristic discussion in innovation labs is now a boardroom agenda item. According to Forte Pulse 2025 (in Norwegian), eight out of ten companies in Northern Europe have integrated digital transformation into their core busi

A few months ago, I joined a strategy meeting at a well-established European industrial company. The topic: launching a new AI-driven analytics platform to optimize operations. Everyone agreed it was a priority. But then came the committee reviews, risk assessments, budget approvals, and another “alignment workshop.” Six months later, the project is still in the planning phase while a competitor overseas has already deployed a similar solution and is reporting measurable cost

Organizations around the world are investing heavily in Artificial Intelligence. Yet, despite billions spent and countless pilot projects launched, the majority of AI initiatives fail to deliver measurable business value . According to Gartner, up to 85% of AI projects never make it to production, and even fewer achieve a positive return on investment. Why? The problem isn’t the technology. It’s how organizations approach it . My experience is that success with AI, including

Many organizations are discovering the power of AI agents  to automate workflows, support decision-making, and boost operational efficiency. But as pilots multiply, so do challenges: fragmented tools, inconsistent governance, duplicated work, and agents that can’t easily share knowledge or capabilities. This is where Agentic AI Platforms  come in. These platforms provide the strategic infrastructure  needed to orchestrate, govern, and scale AI agents across the enterprise. Ra