With Nextra Insights, we shed light on current topics, classify complex relationships and provide food for thought for sustainable action – from deep dives to articles about AI applications in the sustainability context. For anyone who wants to keep an eye on future topics at the interface of sustainability and AI.
AI implementation means integrating AI solutions systematically into existing processes, systems, and workflows and making them effective in day-to-day operations. It’s not just about deploying technology, but about the controlled execution, management, and sustainable integration of AI within the organization. ...
AI agents are task-oriented systems that autonomously execute processes or prepare decisions, while chatbots are primarily designed for dialog-based interaction. The difference lies less in the AI technology used than in the objective, depth of integration, and scope of action. ...
Change Management is crucial in AI projects because AI changes existing ways of working, roles, and decision-making processes. Without targeted support, uncertainty, resistance, and low adoption will arise, even if the technical solution works. AI solutions often deeply impact daily ...
All roles that make strategic decisions, are responsible for processes, or are affected by AI applications should be involved in developing an AI strategy. An AI strategy is not purely an IT task, but a company-wide initiative. Only when different ...
Funding can generally be divided into several funding instruments, which are used depending on the project objective, company size, and funding logic. The most well-known form are grants, which do not have to be repaid and are often used for ...
AI agents can already reliably automate recurring tasks, analyze information, and prepare decisions. They don’t replace employees, but they do take on clearly defined tasks efficiently, at scale, and in a transparent, traceable way. In practice, AI agents make a ...
Companies need an AI strategy to deliberately steer the use of artificial intelligence and align it with overarching business objectives. Without a strategic framework, isolated point solutions quickly emerge that are neither scalable nor deliver sustainable value. An AI strategy ...
The question of whether a company is “ready for AI” cannot simply be answered with yes or no—there is no universal standard for AI readiness. Every company starts from its own position: depending on goals, resources, data, processes, and competencies, ...
AI solutions are piloted effectively when they are tested under real-world conditions based on clear objectives and success criteria. A pilot project serves to specifically validate benefits, feasibility, and risks, rather than for the non-binding testing of technology. The starting ...
From Regulatory Pressure to Strategic Advantage The transition to a climate-neutral economy has become a structural guiding principle of the European financial system. Achieving the goals of the Paris Agreement and the European Green Deal requires a fundamental economic reorientation ...
