Deloitte’s AI governance failure exposes critical gap in enterprise quality controls

“At the end of any AI-assisted project, or any significant project where AI has been dominantly the knowledge-making tool, firms or organizations might still need to employ a human proofreader who is a subject-matter expert in the area to sense-check the

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From pilot to production: How large enterprises can scale XR projects

From pilot to production: How large enterprises can scale XR projects

“At the end of any AI-assisted project, or any significant project where AI has been dominantly the knowledge-making tool, firms or organizations might still need to employ a human proofreader who is a subject-matter expert in the area to sense-check the documents,” he said.

Rydge suggested that the economics could still favor AI adoption even with expert review built in. “Maybe things will be so much cheaper to produce in the knowledge world that the cost of a subject matter expert who proofreads the paper, report, or product will only be understood as a small cost,” Rudge said. “But vetting by professionals should still continue to be the gold standard.”

Gogia said most current agreements still assume human-only authorship even though automation now underpins much of the work. “When something goes wrong, both sides scramble to decide who carries the blame — the consultant, the model, or the client reviewer who signed it off,” he said.

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