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SiteScribe: An Evidence-Centric, Multi-Tenant Change Order Intelligence Platform for Construction Projects

Authors: Yanaşoğlu, Muhammed Murat; Nurbavliyev, Sergazy;

SiteScribe: An Evidence-Centric, Multi-Tenant Change Order Intelligence Platform for Construction Projects

Abstract

Site logs, request for information (RFI) documents, plan revisions, contracts, and photographs taken in thefield constitute large volumes of heterogeneous evidence associated with the construction of buildings, roads, andhighways, among other projects. In the construction industry, construction evidence artifacts can be located acrossmultiple, disconnected channels, which makes capturing, retracing, and auditing Change Orders (COs) time consumingand difficult. In this paper we describe SiteScribe, a collaborative, evidence-focused, multi-tenant platform with theability to consolidate evidence collection, signal identification, event triaging, and CO construction automation into asingle process. SiteScribe uniquely features role-based and project-specific access control, evidence identification,segregation, and optional AI-based semantic enhancement for evidence identified and packaged for export, with securedevidence export by means of PDF/ZIP combined with a SHA-256 manifest for evidence-based COs. SiteScribe promotesstakeholder communication and project governance by means of comments, notifications, webhooks, approvals, andevidence COs sustained within a project’s historical record. SiteScribe’s architecture employs a modular design for eachfunctional area (interface, domain logic, persistence, and external systems) to facilitate secure, scalable, and maintainableoperation across local and cloud-sourced systems. The proposed solution addresses the primary industry challenge ofconverting fragmented field evidence into defensible contractual outputs, thereby enhancing transparency and minimizingoperational friction. This work contextualizes SiteScribe as a construction digital evidence change management solution,as well as a basis for further studies on decision latency, quality of traceable evidence, and workflow reliability.

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