Construction schedule creation, which used to take 2 weeks, now possible in a minimum of 15 minutes. "Kencopa Process AI Agent" officially launched, generating schedules by interpreting design documents.
KENCOPA has launched a new product that shortens construction schedule creation to 15 minutes using AI.
📋 Article Processing Timeline
- 📰 Published: March 27, 2026 at 23:58
- 🔍 Collected: March 28, 2026 at 21:59 (22h 0m after Published)
- 🤖 AI Analyzed: April 15, 2026 at 01:18 (411h 19m after Collected)
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...
■ 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...