How AI is redefining digital transformation

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AI is no longer a side project in digital transformation. It is becoming the operating layer behind faster customer service, predictive analytics, process automation and data-driven decision-making.

The shift matters now because adoption has moved beyond experimentation. A global consulting firm’s 2025 State of AI survey found that 88% of respondents said their organizations regularly use AI in at least one business function, up from 78% a year earlier.

For businesses, the biggest change is practical: AI helps turn large volumes of customer and operational data into real-time decisions. A leading digital publication’s report highlights use cases across chatbots, sentiment analysis, predictive analytics and intelligent process automation, all aimed at improving customer experience and reducing manual workload.

The clearest gains come where AI connects data to action. In telecom, Jeff Fraleigh of ETI Software Solutions told the leading digital publication that AI can predict equipment failure and help operators act early: “This enables them to fix issues before consumers even realize it.”

Customer support is another front line. AI chatbots can handle routine queries, route complex cases to human agents and deliver 24/7 service without expanding headcount at the same pace. The same leading digital publication cites one virtual agent implementation that reached a 98% query-resolution rate in less than two years.

The risk is that companies treat AI as a plug-in rather than a transformation discipline. Poor data quality, weak governance and unclear accountability can turn AI investment into expensive theatre. The winners will be firms that pair generative AI with clean data, measurable workflows and human oversight.

AI is changing digital transformation by making it less about digitising old processes and more about redesigning how decisions, service and operations work.