Unlocking AI ROI in the technology industry | EY

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Persistent AI ROI trap due to organizations being stuck in pilots and point solutions without comprehensive process redesign.
Lack of mature AI governance and suitable key performance indicators (KPIs) prevalent among many organizations.
Most organizations use external or hybrid models rather than building their own large language models (LLMs) to expedite progress and manage risk.
The EY Technology Insights series suggests a practical execution agenda focused on scaling AI through processes, not tools, and strengthening governance.
Importance of investing in AI-ready data and using AI to support AI governance, with human involvement always being integral.
Both people and operating model shifts are critical, highlighting that fewer than half of technology leaders feel confident in assessing their organization’s AI readiness.
There’s a need for a dual-track strategy that boosts current productivity and redesigns roles, workflows, and culture for an AI-native future.
Examination of how leading organizations convert their AI aspirations into enterprise-scale outcomes.

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