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Measuring the ROI of AI Projects

Time saved is only part of the story. How to build a business case that captures quality, speed and risk.

By Priya Raman, Technology & Business Reporter

Updated 1 min read

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Measuring the ROI of AI Projects
Image: Unsplash

Many AI projects stall after the pilot because nobody can say whether they paid off. A clear measurement framework, agreed before launch, makes the decision to scale much easier.

Set the baseline

Record how long the task takes today, how often it goes wrong and what it costs, before changing anything.

Count all the costs

Include licences, integration work, oversight time and ongoing maintenance, not just the subscription fee.

Look beyond hours saved

Faster turnaround, fewer errors and better customer experience can be worth more than the labour saved — but only if they are measured.

Key takeaways

  • Set the baseline
  • Count all the costs
  • Look beyond hours saved

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About the author

Priya RamanTechnology & Business Reporter

Priya reports on how AI, software and cybersecurity are changing the way companies operate and compete.

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