What AI capability really looks like in high-performing teams

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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 re-engineer workflows.
• The role of AI champions within functional teams, and why workflow architecture is a distinct and critical skill most people do not yet have.

Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams.

 

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Credits: Host: Amantha Imber

Sound Engineer: Martin Imber

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