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Home » 90% of Workers Say AI Saves Time — So Why Are Businesses Still Missing Its Potential?

90% of Workers Say AI Saves Time — So Why Are Businesses Still Missing Its Potential?

AI in the Workplace: Four Everyday Tasks Now Done Faster, Cheaper and With Fewer Errors

Joan Aimuengheuwa by Joan Aimuengheuwa
August 12, 2025
in EnterpriseTECH
Reading Time: 3 mins read
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90% of Workers Say AI Saves Time — So Why Are Businesses Still Missing Its Potential?

Source: Azumo

A new study from Azumo has revealed that while 90% of workers say AI saves them time on routine tasks, many companies still fail to grasp the depth of automation now possible. 

The research warns that even as over 80% of businesses plan to adopt AI-powered tools by 2025, hours are still being wasted on processes that these systems can complete faster, with greater precision and at a much larger scale.

The findings point to four everyday activities where AI is already delivering measurable improvements in speed, accuracy, and cost efficiency, usually without drawing attention to itself.

1. Spreadsheet Accuracy at Scale: From Hours to Seconds

Manual data review can be slow and prone to error, especially with large datasets. Even with a 90% accuracy rate per individual review, combining five variables reduces the accuracy to just 59%. 

Azumo says modern AI tools detect broken formulas, spot inconsistencies, and uncover hidden data links within seconds. With human oversight, they deliver near-perfect accuracy while processing information up to ten times faster.

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2. Financial Briefing Automation: Summarising Calls in Minutes

In finance, preparing earnings summaries and market comparisons can take hours. Generative AI trained on financial language can now do the work in minutes, producing reports and insights at speed. 

Nomura’s use of AI to analyse Q3 earnings calls for tone and sentiment showed a strong correlation with market changes, confirming the technology’s ability to detect subtle performance signals quickly.

3. Visual Inspection in Manufacturing: Precision Without Fatigue

Quality control in manufacturing has also been improved. AI-powered vision systems maintain consistent inspection accuracy from the first to the millionth unit, without breaks or fatigue. 

One car seat manufacturer reduced defects by 30%, cut inspection time from 60 seconds to just 2.2 seconds per unit, and lowered false rejections by the same margin.

4. Intelligent Data Entry: Accuracy That Scales 24/7

Data entry, often plagued by a 2–5% error rate, is being redefined. With embedded validation, AI now processes high-volume back-office tasks continuously and with far fewer mistakes. Businesses using these systems have reported operational cost savings of up to 30%, with 20% naming it their most valuable AI application.

Azumo’s CEO, Chike Agbai, rejects the idea that AI is only about predictive text, it truly saves time. “There’s a persistent myth that generative AI just predicts the next word. That’s an oversimplification. The best systems integrate reasoning, pattern recognition, and external context to generate useful, even strategic output,” he said. 

“What matters most is that AI is freeing us to focus on deeper, creative, and more strategic work. These tools can augment us. I think that’s the true story behind these tools.”

The study reiterates the view that AI is no longer an emerging technology waiting for adoption, it is already embedded in daily workflows, often delivering its value without fanfare.

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