This smells a lot like the "expert systems" fad of the 1980's. Basically human experts were interviewed and the results were put into a dynamic "rule base" of glorified IF statements to serve as professional guidance engines, such as trouble-shooting a brewery, or help-desk automation.
In practice it took a lot of tweaking and fiddling to get good enough. If it didn't work well, you were told to "just rent more consultancy", which is the stage failed AI projects are now entering.
Eventually it was realized one could have gotten a comparable system by either digitizing regular documentation and then putting a good search engine in front of it (Googlify*), and/or just programming it the old fashioned way. Expert system rule-bases thus mostly fell by the wayside.
* Google didn't exist back then, but equivalents did, at least for company scale.