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.
The use of AI often creates fears of loss of control, job changes, or lack of transparency. These concerns are usually less technological than emotional and organizational in nature, and they significantly influence the acceptance of AI within the company. ...
An AI pilot project is useful when there is a clear use case and uncertainty exists regarding its benefits, effort, or feasibility. The pilot project serves to clarify these questions in a controlled manner before larger investments are made. In ...
For mid-sized companies, an AI strategy is primarily an instrument for focus and risk minimization. It helps to deploy limited resources strategically and to leverage AI where real economic value is generated. Without strategic guardrails, there is a risk of ...
Specific AI use cases can be identified by companies systematically analyzing their processes, data, and pain points. Instead of starting from available technologies, the focus should be on specific problems, inefficiencies, or decision-making needs. This is exactly where AI delivers ...
In principle, processes that are recurring, data-driven, and rule-based can be automated with Artificial Intelligence. Activities with high manual effort, clear decision patterns, or large volumes of data are particularly suitable. In practice, suitable AI use cases can be found ...
Artificial intelligence and sustainability management are growing together – but what does that specifically mean for companies? In this Talk in the Sustainability x AI series, Janika Ofterdinger and Dr. Britta Frommeyer from Nextra Consulting discuss where AI can already ...
AI foundational knowledge refers to the shared basic understanding of what Artificial Intelligence can achieve, how it works, and where its limitations lie. It enables employees and managers to appropriately classify AI, use it responsibly, and make informed decisions when ...
Artificial Intelligence delivers the greatest value where it reduces operational effort, improves decisions, and makes existing services efficiently scalable. Areas with high data volumes, recurring tasks, and measurable economic benefits are particularly suitable. What matters is not the technology deployed, ...
Sustainable finance affects access to capital by incorporating sustainability performance increasingly into financing, investment, and valuation decisions. Companies with robust ESG structures generally receive better access to financing, while sustainability deficits can lead to higher costs or restrictions. For banks, ...
AI agents work by pursuing defined goals, processing relevant information from various sources, and—based on that—independently executing actions or preparing decisions. They combine AI models with clear rules, process logic, and system integrations to reliably take over specific tasks. Technically, ...
