Why do AI projects fail despite good use cases?
AI projects often fail not because of the use case itself, but due to a lack of structure in implementation, governance, and integration. Even well-prioritized use cases deliver no added value if technical, organizational, or cultural prerequisites are not sufficiently considered. A key reason is insufficient integration into existing processes. AI solutions are often introduced […]
AI Agents in Sustainability Management: Using Automation Strategically
The term “AI agent” is being used excessively—often without a clear distinction from chatbots or classic AI tools. In this Sustainability x AI series talk, Nextra Consulting GmbH and Carlotta Meyer-Burgdorff provide clarity: What are AI agents really, where is their added value compared to simpler AI solutions, and which use cases in sustainability management […]
What AI skills do departments need?
Departments need AI skills to identify use cases, classify AI results, and meaningfully integrate AI into their daily processes. The goal is not technical expert knowledge, but the ability to professionally manage AI and use it productively. A central competency is understanding the potential applications and limitations of AI within one’s own area of responsibility. […]
What fears and resistance arise from 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. One of the most common fears concerns the elimination or devaluation of tasks. Employees worry […]
When is an AI pilot project useful?
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 practice, a pilot project is particularly suitable when a process is recurring, data-driven, and sufficiently […]
What is the significance of an AI strategy for mid-sized companies?
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 investing time and budget in isolated individual initiatives that do not achieve sustainable impact. Mid-sized […]
How do I identify specific AI use cases for my company?
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 its greatest value. A proven starting point is the structured review of core business processes […]
Which processes can be automated with AI?
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 in almost all business areas. In the sustainability sector, for example, large volumes of data, […]
AI meets Sustainability – New Opportunities for Companies
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 provide relief today, which application areas are particularly relevant, and what is crucial for a […]
What is AI foundational knowledge for businesses?
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 dealing with AI. AI foundational knowledge includes a basic understanding of how AI works and […]
