Companies need to ensure that they are responsibly prepared with a data literate cohort of employees and an established analytics community before they can feed the AI data, and trust in the results it supplies.
It might be that these skills lie in outside sources, but ideally for an agile enterprise a skill base can and should be built up by the employees who understand, use, and generate their own data.
A multidisciplinary team involving data scientists, AI developers, and line of business employees could prove to be a pragmatic approach to manage the whole strategy and implementation: Data collection, mining activities, machine learning, and the automation of the workflow.
And since we operate in a world of humans, built for humans, by humans, and presumably for the benefit of humans, it’s best to keep a few of them around to keep the humanity and flexibility that an effective (as well as efficient) system needs.