What AI capability really looks like in high-performing teams

About this episode

The episode discusses the distinction between AI adoption and actual value derived from AI in high-performing teams.

Sign up for Inventium’s AI Agent Bootcamp virtual or in-person . Your organisation hit its AI adoption target. Eighty percent of staff have a licence, onboarding is done, and the usage dashboard looks great. So why does the work feel the same, or worse? Hitting an adoption target and actually getting value from AI are two completely different things, and most organisations are confusing one for the other. The truth is that a team using AI badly can actually perform worse than one not using it at all. Buried in mediocre output, drowning in documents nobody reads, and no closer to a better result for their customers. In this How I AI episode, Neo and I dig into what actually separates high-performing AI-augmented teams from the average ones, and why so many organisations are measuring the wrong things. Neo and I cover: Why adoption metrics are almost always vanity metrics, and what to measure instead. The difference between AI literacy and AI leverage, and why teams need both but rarely get past the first. How poor AI training can actually make teams less productive. Why slotting AI into an existing process is only ever an interim step, and what it looks like to genuinely…

People in this episode

Host: Amantha Imber

Guest: Neo Aplin

Topics covered

• AI adoption
• high-performing teams
• AI literacy
• workflow re-engineering
• productivity
• metrics

Keywords

• AI capability
• team performance
• adoption metrics
• AI leverage
• workflow architecture
• productivity
• AI training

Mentioned in this episode

Organizations: Inventium, LinkedIn, inventium.ai

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