There is no shortage of corporate AI projects underway and most will fail because companies have not laid the proper foundation in the form of pilot projects or proof of concept approaches needed to scale AI efforts. That's the central conclusion of a new survey of about 80 companies jumping on the AI bandwagon but neglecting to look before they leap. "While enterprises have high expectations of the impact of [intelligent automation], they are not ready to implement it from the top down and at scale," concludes technology consultant KPMG in a report released this week. Among the reasons is a fundamental lack of understanding that the corporate implementation of AI referred to as intelligent automation is "about changing business processes, and then restructuring the organization around those new processes now driven by technologies that didn't exist before." Another part of the problem is unrealistic expectations by early adopters of AI who have done little planning to scale out deployment efforts.