A key differentiator in AI-mature organizations is having legal counsel involved in the ideation state of AI use cases. AI-mature organizations were 3.8 times more likely to involve legal experts at the ideation phase of an AI project’s life cycle.
“Organizations that are more experienced with AI do not want to be told they’ve crossed a line once they are further along in the process of developing an AI use case,” said Brethenoux.
Fifty-two percent of AI-mature organizations analyze a combination of business and technical metrics to evaluate their return on AI investment, with 41% using customer-related business metrics to assess ROI. Customer service is often cited as one of the top three business functions benefiting from AI, with 47% of AI-mature companies citing it compared with 34% of others.
Also, 67% of AI-mature businesses define metrics at the ideation phase of every use case, compared with 44% of less mature.
“Organizations that are using AI technology to attract and retain customers are able to more clearly articulate the impact on the business, driving a virtuous cycle of executive buy-in for new AI projects,” said Brethenoux.
This story also appears on CGT, a sister publication of RIS News.