How to Measure AI Performance Beyond Accuracy
The quarterly AI review opened with a slide showing 94.2% model accuracy. The CFO asked what that meant in terms of
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The quarterly AI review opened with a slide showing 94.2% model accuracy. The CFO asked what that meant in terms of
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The AI customer service system had a 94% accuracy rate on the test dataset. Live, in the first month, it handled
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She found out that two members of her team had been using a public AI tool to summarise client contracts for
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The vendor used the word ‘agent’ fourteen times in the pitch. Each time, it meant something slightly different. By the end
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Two people in the same team using the same AI tool are getting very different results. One routinely produces outputs she
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The initial budget proposal was thorough. Development cost, itemised by sprint. Vendor licence fees, monthly. Infrastructure, estimated by compute tier. The
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The AI project was approved in January. Budget confirmed, vendor selected, kick-off meeting scheduled. The first discovery session revealed that the
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The meeting opened with a list of seventeen AI ideas. Over three hours, the team debated each one – the technical
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He approved the budget for an off-the-shelf AI platform because it looked like exactly what the business needed. The demos were
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The hardest conversation in AI consulting is not ‘your project is going to take longer than planned.’ It is ‘your project
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