"A large gap separates technology investment from the ability to apply AI within core systems and real workflows, risking productivity in isolated cases disconnected from meaningful outcomes."
"Organizations often struggle to move from isolated use cases to repeatable enterprise-wide application due to the multitude of tools and vendors available without coordinated guidance."
"Companies making progress with AI treat it as a capability to build rather than a product to deploy, designing efforts with implementation in mind for sustainable growth."
"A global financial services firm reduced maintenance costs by 30% and increased efficiency by 70% after embedding an AI platform into its processes, enabling rapid updates."
By 2028, the majority of enterprises are expected to integrate AI into their workflows. However, many organizations have not embedded AI deeply enough to see significant results. A gap exists between technology investments and the ability to apply AI effectively within core systems. Organizations must integrate AI into operations to avoid isolated initiatives. Many struggle to operationalize AI at scale due to a lack of coordinated guidance. Successful companies treat AI as a capability to build, focusing on sustainable implementation and expansion of new capabilities over time.
#ai-integration #enterprise-technology #operational-efficiency #workflow-automation #business-transformation
Read at Harvard Business Review
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