10-step AI enablement model

TRACKING KEY AI PERFORMANCE METRICS AND ALIGNING OUTCOMES WITH BUSINESS IMPACT

AI should never be a “black box” investment. Without clear success metrics, you risk investing in AI without understanding its impact. Measuring AI performance ensures you can quantify its value, adjust where necessary, and maximise ROI.

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Its not proving simple though, and many organisations are struggling to prove its value. AI’s impact is often indirect and intertwined with other business functions, and benefits may take months/years to materialise.  ​Over-reliance on short-term KPIs could lead to businesses undervaluing AI’s long-term strategic advantage. In short - your Board is going to need a higher tolerance for investing in future financial gains as opposed to short term tactical moves.

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​We love Human-AI collaboration metrics  - these metrics are a totally new way to measure how AI enhances human work rather than just replacing tasks. Instead of focusing purely on automation rates, these metrics assess the synergy between AI systems and employees, ensuring AI is augmenting productivity, decision-making, and innovation.

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Beyond the metrics, don't forget how powerful story-telling can be - use your AI change champions to talk about their real-life experiences of AI and encourage your Board to openly talk about their own personal AI-learning journeys as well as the impact its having for the business. ​​

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