AI Strategy: From Ideas to a Concrete Roadmap
AI potentials have been identified, and the first pilots are running – but how does this become a coherent strategy? In this Sustainability x AI series talk, Janika Ofterdinger and Dr. Britta Frommeyer (Nextra Consulting) show how companies can elevate AI from the pilot level to a strategic level and derive a lean, actionable roadmap […]
The 5 Steps to Successful AI Strategy Development
The introduction of Artificial Intelligence (AI) in a company is not a one-time project, but a strategic process that should be carefully planned and implemented. A well-founded AI strategy ensures that initiatives create measurable value, resources are used efficiently, and changes within the organization are managed in a structured manner. We recommend a clear 5-step […]
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 […]
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 […]
Where does AI offer the greatest value for companies?
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, but the targeted use of AI at the relevant points within the organization. In many […]
What are the components of an AI strategy?
An AI strategy consists of clear goals, prioritized application areas, robust governance, and an implementation roadmap. It defines how artificial intelligence will be used in the company, what value it should deliver, and how risks will be managed. Without these components, AI is often uncoordinated and difficult to scale. A central component is a strategic […]
Who should be involved in developing an AI strategy within the company?
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 perspectives come together does a viable and implementable vision emerge. The involvement of executive management […]
Why do companies need an AI strategy?
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 provides clarity on where AI should be used—and where it should deliberately not be used. […]
