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摘要: Why companies need to think differently about AI
This article is authored by David P. Spencer, head, Sales Enablement & Growth, Sonata Software.
Published on: Jun 23, 2026 3:27 PM IST
David P. ...
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Why companies need to think differently about AI
This article is authored by David P. Spencer, head, Sales Enablement & Growth, Sonata Software.
Published on: Jun 23, 2026 3:27 PM IST
David P. Spencer
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For the last two years, the dominant story about AI has been straightforward: It can help people work faster, automate repetitive tasks, generate content, improve productivity, and lower costs.
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What many companies still underestimate is that AI is not simply another enterprise tool. It is a new layer of scalable intelligence. And once intelligence becomes abundant, affordable, and increasingly on demand, the question is no longer, “Where can AI help my teams save time?” It becomes, “How does AI change how work is designed, how decisions get made, and how value is created across the business?”
According to McKinsey, nearly all companies are investing in AI and 92% plan to increase those investments over the next three years. Yet only 1% of business leaders consider their organizations mature in AI deployment, meaning AI is fully integrated into workflows and driving substantial business outcomes.
AI is everywhere, but repeatable enterprise value is not.
First, AI presence is not the same as AI advantage. A company may have thousands of employees using AI tools and still fail to change any material business outcome if those tools remain disconnected from core workflows and enterprise data.
Second, the value gap is widening. A relatively small group of firms is generating outsize gains because they have progressed from experimentation to capability building. They invest in leadership alignment, process redesign, data architecture, and governance as seriously as they invest in models. These firms are not using AI only to lower effort; they are using it to reconfigure how decisions are made and how value flows across the enterprise.
Third, organisations are finding that their biggest limitation is not pr
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