How companies can get the right returns from AI investments

Many large organizations have yet to see expected returns from their recent AI investments, not because the technology itself has failed, but because the investments have not targeted the right areas.
The economic value of AI in organizations has been disproportionately captured by only a few (20%), indicating vast untapped potential within processes rather than individual tasks.
While AI tools are improving individual tasks, its most significant value comes from integrating AI into complex, multi-step operational workflows that connect various organizational functions.
Upcoming technological maturation, increased accountability pressure regarding AI returns, and shifting competitive dynamics make now the critical time to act on integrating AI into operational workflows.
AI should be deployed to automate entire workflows rather than just augment individual roles, facilitated by “digital workers” who fit into existing infrastructure while ensuring governance and compliance in regulated industries.
The focus should shift from merely demonstrating AI capabilities to identifying which core workflows should leverage AI for process-level outcomes, supported by comprehensive governance frameworks.

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