Over the course of this series, we’ve explored how organizational performance must evolve in the age of AI, not through hype or fear but through structured, human-centred transformation. What We’ve Learned Each post in this series has examined a different lens through which performance, AI and organizational dynamics intersect: The critical need for theory to navigate complexity Clarifying the human-AI partnership Translating data into strategic decision-making Building resilience in a volatile landscape Accelerating learning at machine speed Embedding ethics into every algorithm Investing in people alongside technology Driving ROI through strategic alignment Differentiating through uniquely human assets Embedding AI into Organizational DNA Sustaining performance over the long term Why a Framework Matters Without a coherent performance framework, AI risks becoming a scattered set of tools rather than a coordinated capability. A model like IMPACT bring...