Smart Discrepancy Detection in Project Documents
Business Problem:
Construction project managers face challenges in identifying discrepancies between contracts, architectural specifications, and product specifications early in the process. These documents are often not standardized, leading to time-consuming manual reviews, which increases the risk of missed discrepancies, resulting in cost overruns and schedule delays. Diwo Catalyst enables proactive discrepancy detection by analyzing various types of construction documents in real time, ensuring that issues are identified before they become costly problems.
Business Solution:
Diwo Catalyst streamlines the process of identifying discrepancies across construction documents by ingesting, processing, and analyzing multiple types of project data. Through its Recommendation First System, the platform pushes actionable insights and recommendations to project managers, helping them identify discrepancies early. As an Enterprise-Ready platform, Diwo Catalyst ensures secure, scalable, and compliant operations. It uses Document Extraction Pipelines and Contextual Intelligence Models to provide real-time recommendations for discrepancy identification, minimizing cost overruns and delays. By leveraging both structured and unstructured data, Diwo Catalyst continuously learns and improves the identification of critical discrepancies through a conversational interface.
