Agile Generative AI Guidelines 
Ecosystems4Innovating
FEBRUARY 14, 2025
I took a look at 1) how can AI drive innovation in different ways, 2) would this require a new operating model and 3) how the innovation workflow will require a transformational change to the operating model and 4) the outcome of a fundamental rethinking of how innovation is approached and executed. We need a game-changing approach.
Idea to Value
MARCH 14, 2025
.: AI is not used at all, and most processes are still performed manually (whether digitally or physically) Level 1: Unaware A.I.: AI is embedded in everyday tools without strategic intent. Organizations experiment with generative AI for simple, high-impact tasks. Level 2: Basic A.I.: Level 3: In-App A.I.:
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Leapfrogging
FEBRUARY 28, 2024
Businesses that innovate can respond to shifts in consumer behavior, leverage emerging technologies, and enter new markets with agility. The integration of AI amplifies these capabilities by improving design thinking with AI , thus accelerating the innovation process.
Leapfrogging
MARCH 4, 2024
Test AI systems simulate user interactions for immediate feedback. Implementing AI in the design thinking framework can significantly enhance the quality and efficiency of outcomes. Teams can iterate designs with agility, supported by AI’s predictive analytics to forecast the success of design choices.
Acuvate
MAY 31, 2023
However, there is also a need for the retail industry to remain agile and embrace continuous innovation and harness the full potential of GPT and chatbots in shaping the future of retail. Retailers must prioritize customer trust and provide clear guidelines on data usage and protection.
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