Evaluating Artificial Intelligence Tools for Automated Practice Conformance Checking

Checking conformance of construction management practices to practice specifications is typically performed manually by experts in the Engineering and Construction (E&C) sector. Though conformance checking is known to increase performance of a project, this process takes considerable time as several professionals have to go through thousands of pages of documents, complex workflows, and personal interviews. This paper aims to evaluate AI tools including Text mining, process mining, and image data mining for their utility in assisting conformance checking in construction management. Automated conformance checking may not only reduce manual and repetitive work by experts but also reduce human errors. Examples are demonstrated for initial validation.