A trained cross-functional process model and a subject-specific virtual assistant provide service professionals access to a body of knowledge that could understand their specific needs, automate service tasks, and provide them service information when they need it. By embedding artificial intelligence in the service context, the techniques in this disclosure support low cost inputs that allow novice service professionals and artificial intelligence to replace the services of a journeyman, particularly in service contexts where service quality and/or human judgement is irrelevant or only marginally relevant. The systems and methods herein may, in some implementations, benefit stakeholders, owners, and/or equity holders in many service contexts.
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