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

By 2030, AI agents could automate up to 30% of the tasks in most occupations, according to McKinsey. Yet, many organizations are still in the early stages, running isolated pilots or deploying chatbots without a clear strategy for integration and measurement. AI agents are changing how work gets done. Far beyond basic automation, these systems are autonomous, context-aware software entities  that can perceive information, reason about it, and act to achieve specific goals. Wh

For Chief Operating Officers, artificial intelligence is no longer just a buzzword. It’s becoming the ultimate lever for driving operational excellence , efficiency, and resilience in a rapidly changing business environment. Imagine operations where: AI agents optimize supply chains in real time, identifying and resolving bottlenecks before they escalate Processes run 24/7, with humans stepping in only for strategic decisions and exceptions Teams focus on value creation, not

In today's fast-paced world, businesses are constantly seeking new ways to grow and stay ahead of the competition. One of the most exciting developments in recent years is the rise of artificial intelligence (AI). This technology is not just a buzzword; it is a powerful tool that can transform how businesses operate. AI can help companies streamline processes, enhance customer experiences, and make data-driven decisions. In this blog post, we will explore various strategies f

For more than a decade, finance leaders have associated artificial intelligence (AI) with efficiency gains, like faster reporting cycles, automated reconciliations, and reduced operational costs. According to Deloitte’s CFO Signals  (Q1 2024), 62% of CFOs list automation and cost reduction as their primary objective for AI adoption. But this perspective is evolving rapidly. As AI technologies mature and integrate more deeply into enterprise systems, leading CFOs are recognizi