Designing Future-Ready Organizations: the role of AI and foresight in strategic project planning
Surve, Bansi; Marwadi, Dixitaben (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025102726519
https://urn.fi/URN:NBN:fi:amk-2025102726519
Tiivistelmä
This thesis explores how organizations can improve their strategic planning by combining both the traditional foresight methods with modern Artificial Intelligence driven methods. The study is intended to benefit businesses and companies that face uncertainty and rapid change in their environments and need better tools for decision-making.
The main development idea and task was to evaluate different foresight models and compare their strengths and weakness with different published case studies. Development task was to design an integrated framework that can guide businesses in planning for the future more effectively. The theoretical framework is based on well known methods such as VUCA, Three Horizons, and the Technology Adoption Lifecycle, with different AI methods like Predictive Analytics, Digital Twin simulations, and Generative AI.
The methods in the study include literature review, comparative analysis of the models, and the secondary data from the published case studies of companies. The data is then qualitatively analyzed for these approaches. The key findings show that traditional models are strong in providing structured thinking and clarity but AI helps in adding precision, adaptability, and data driven foresight. By combining these two methods, organizations can achieve a balance between human insight and technological power.
To complement the development process, an evaluation inquiry was conducted to assess the hybrid AI foresight framework. The responses highlighted key strengths such as using enhanced decision making, accurate predictions, and adaptability to uncertain environments. At the same time, weaknesses including technical dependency and integration challenges were also highlighted. Moreover, opportunities were also identified in terms of future readiness, adoption, and culture integration and the threats were mostly noted around high technological change and ethical concerns. These findings helped to conduct SWOT analysis and provide practical information.
The conclusion is that a hybrid foresight framework can provide different companies with a stronger foundation for strategic planning. This new framework supports better adaptability, reduces risk, and helps organizations prepare for multiple future scenarios.
The main development idea and task was to evaluate different foresight models and compare their strengths and weakness with different published case studies. Development task was to design an integrated framework that can guide businesses in planning for the future more effectively. The theoretical framework is based on well known methods such as VUCA, Three Horizons, and the Technology Adoption Lifecycle, with different AI methods like Predictive Analytics, Digital Twin simulations, and Generative AI.
The methods in the study include literature review, comparative analysis of the models, and the secondary data from the published case studies of companies. The data is then qualitatively analyzed for these approaches. The key findings show that traditional models are strong in providing structured thinking and clarity but AI helps in adding precision, adaptability, and data driven foresight. By combining these two methods, organizations can achieve a balance between human insight and technological power.
To complement the development process, an evaluation inquiry was conducted to assess the hybrid AI foresight framework. The responses highlighted key strengths such as using enhanced decision making, accurate predictions, and adaptability to uncertain environments. At the same time, weaknesses including technical dependency and integration challenges were also highlighted. Moreover, opportunities were also identified in terms of future readiness, adoption, and culture integration and the threats were mostly noted around high technological change and ethical concerns. These findings helped to conduct SWOT analysis and provide practical information.
The conclusion is that a hybrid foresight framework can provide different companies with a stronger foundation for strategic planning. This new framework supports better adaptability, reduces risk, and helps organizations prepare for multiple future scenarios.