KENCOPA Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Soyu Yasumura; hereinafter KENCOPA), which challenges labor-saving and automation at construction sites, is pleased to announce that the official version of the Kencopa Process AI Agent was launched on March 26, 2026, after functional improvements through beta testing with various general contractors, resulting in proven implementation effects and high customer satisfaction.
Challenges in Process Management
1. Creating the overall schedule is difficult Construction site supervisors need to create an overall schedule within the first month of receiving an order (especially for large-scale projects, which can take several weeks to 1-2 months), posing a significant workload before construction begins.
2. Process and performance data is not accumulated Currently, on-premise software, CAD, and Excel are the mainstream tools for creating schedules, making it difficult to accumulate company-specific process, progress, and performance data. However, with recent labor shortages, the necessity of calculating appropriate construction periods due to work style reforms, and the perspective of technical succession, the accumulation of process, in-house performance data, and knowledge data has become an urgent issue.
3. Increasing number of young and mid-career employees who cannot create schedules Due to labor shortages, the time allocated for technical succession and education has decreased, leading to an increasing trend of young and mid-career employees who cannot create schedules considering various constraints. Additionally, even at the estimation stage, a general schedule needs to be submitted to the client, but due to labor shortages, opportunities for sales, sales engineering, and estimation departments without on-site experience to create these schedules are increasing.
Overview of Kencopa Process AI Agent
The "Kencopa Process AI Agent" not only shortens the time required for schedule creation and implementation management but also achieves labor savings and technical succession simultaneously by automatically accumulating a company-specific knowledge database through its use, combining design documents with process, performance, and construction data.
By simply uploading design documents (drawings, specifications, estimation reports), in-house performance data and...
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- Source: PR TIMES
- Category: News