Incerto LLC Launches AI Implementation Support Service for Construction Industry — Custom Implementation of 4 Areas: Estimation, Process Management, On-site DX, and Cost Management, Based on Interviews and Added to Existing Workflows
Incerto LLC has launched an AI implementation support service for the construction industry. This service custom-implements AI in four key areas—estimation, process management, on-site DX, and cost management—based on client interviews, integrating it into existing workflows without replacement.
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- 📰 Published: May 9, 2026 at 07:30
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Incerto LLC (Headquarters: Arakawa-ku, Tokyo; Representative: Aoto Sato; https://www.incerto.tech/) today announced the launch of its AI implementation support service for the construction industry.
This service custom-implements AI in four areas—estimation, process management, on-site DX (Digital Transformation), and cost management—which are structural challenges in construction sites. Incerto provides this service based on interviews with target companies. It targets the entire construction industry, including general contractors, specialized contractors (interior, equipment, carpentry, rebar, scaffolding, etc.), general construction companies, renovation companies, and architectural firms.
This service is designed to be introduced as an add-on without replacing existing Excel files (quotations, execution budgets, cost management), construction management tables, internal Slack/LINE WORKS, or existing SaaS for the construction industry. In the construction industry, the judgment of veterans, the network of craftsmen, and relationships with prime contractors are core management assets, and the cost and risk of system replacement are significant. Therefore, the service focuses on implementation that can be handled by managers, site agents, and estimation staff along existing workflows.
During implementation, Incerto identifies key bottlenecks through interviews with target companies and custom-implements AI by setting the scope from the four areas described below, tailored to each company. Companies can choose to introduce one area incrementally or combine multiple areas, depending on their situation.
■ Background of Provision: Labor Shortage, Productivity Improvement, and Business AI in the Construction Industry
The management environment of the construction industry is becoming increasingly severe due to chronic labor shortages, an aging workforce, and difficulties in negotiating unit prices with prime contractors. The number of construction workers has continued to decline from a peak of 6.85 million in 1997 to around 4.8 million in recent years (according to statistics from the Ministry of Health, Labour and Welfare and the Ministry of Land, Infrastructure, Transport and Tourism). Even after the work style reform (overtime work limit regulations enforced in April 2024), improving on-site productivity and operational efficiency have remained continuous management challenges.
In the AI/DX domain of the construction industry, multiple specialized players exist, offering solutions such as estimation/calculation AI, construction management SaaS, photo ledger/construction plan AI, and cost management SaaS. However, many of these are designed to operate independently as dedicated SaaS, and their inability to seamlessly integrate with operators' existing workflows (Excel, internal files, formats specific to prime contractors) has been a barrier to adoption for general contractors, specialized contractors, and general construction companies alike.
This service addresses these challenges by identifying key bottlenecks through interviews with target companies and integrating AI as an add-on to existing workflows.
■ Challenges: Dispersed Business Domains and Veteran Dependence
In construction sites, the following challenges are observed:
Dispersed Business Domains: Estimation is done with Excel/internal files, process management is in the minds of managers/site agents, document creation is manual, and cost management is in separate Excel files. Records and operations are dispersed across business domains, making cross-sectional information utilization difficult.
Veteran Dependence: Judgment for quantity take-offs and unit rates, finalization of estimates, selection and arrangement of craftsmen, and negotiation of unit prices with prime contractors are concentrated in the experience of individual managers and veterans. This over-reliance on individuals becomes a barrier to business succession and the development of young talent.
Incompatibility with Existing SaaS: Many existing SaaS solutions for the construction industry (photo ledgers, cost management, construction plan AI, etc.) have been introduced but do not align with companies' Excel templates, prime contractor formats, or on-site customs. As a result, only some functions are used, or the systems become formalized without being fully adopted.
This service addresses these challenges by identifying key bottlenecks through interviews and custom-implementing AI as an add-on to existing workflows.
■ Solution: Site-Led Custom Implementation
This service proceeds in three steps:
Step 1: Interview: Conduct interviews with managers, site agents, and estimation staff of target companies to understand existing workflows such as Excel quotation sheets, execution budget sheets, construction management tables, cost management Excel files, and internal Slack/LINE WORKS. Identify the main bottlenecks.
Step 2: Scope Setting: Set the scope from the four areas described below (A: Estimation / B: Process Management / C: On-site DX / D: Cost Management) according to the target company's main bottlenecks.
Step 3: Custom Implementation: Implement AI according to the scope. Design inputs and outputs to match existing Excel templates, internal files, and prime contractor formats, introducing it in a way that site staff can handle within their existing business flows.
The final estimation, arrangement, cost judgment, and reporting to prime contractors are performed by the client's managers, site agents, and staff. AI does not take over judgment but rather supports it.
This service custom-implements AI in four areas—estimation, process management, on-site DX (Digital Transformation), and cost management—which are structural challenges in construction sites. Incerto provides this service based on interviews with target companies. It targets the entire construction industry, including general contractors, specialized contractors (interior, equipment, carpentry, rebar, scaffolding, etc.), general construction companies, renovation companies, and architectural firms.
This service is designed to be introduced as an add-on without replacing existing Excel files (quotations, execution budgets, cost management), construction management tables, internal Slack/LINE WORKS, or existing SaaS for the construction industry. In the construction industry, the judgment of veterans, the network of craftsmen, and relationships with prime contractors are core management assets, and the cost and risk of system replacement are significant. Therefore, the service focuses on implementation that can be handled by managers, site agents, and estimation staff along existing workflows.
During implementation, Incerto identifies key bottlenecks through interviews with target companies and custom-implements AI by setting the scope from the four areas described below, tailored to each company. Companies can choose to introduce one area incrementally or combine multiple areas, depending on their situation.
■ Background of Provision: Labor Shortage, Productivity Improvement, and Business AI in the Construction Industry
The management environment of the construction industry is becoming increasingly severe due to chronic labor shortages, an aging workforce, and difficulties in negotiating unit prices with prime contractors. The number of construction workers has continued to decline from a peak of 6.85 million in 1997 to around 4.8 million in recent years (according to statistics from the Ministry of Health, Labour and Welfare and the Ministry of Land, Infrastructure, Transport and Tourism). Even after the work style reform (overtime work limit regulations enforced in April 2024), improving on-site productivity and operational efficiency have remained continuous management challenges.
In the AI/DX domain of the construction industry, multiple specialized players exist, offering solutions such as estimation/calculation AI, construction management SaaS, photo ledger/construction plan AI, and cost management SaaS. However, many of these are designed to operate independently as dedicated SaaS, and their inability to seamlessly integrate with operators' existing workflows (Excel, internal files, formats specific to prime contractors) has been a barrier to adoption for general contractors, specialized contractors, and general construction companies alike.
This service addresses these challenges by identifying key bottlenecks through interviews with target companies and integrating AI as an add-on to existing workflows.
■ Challenges: Dispersed Business Domains and Veteran Dependence
In construction sites, the following challenges are observed:
Dispersed Business Domains: Estimation is done with Excel/internal files, process management is in the minds of managers/site agents, document creation is manual, and cost management is in separate Excel files. Records and operations are dispersed across business domains, making cross-sectional information utilization difficult.
Veteran Dependence: Judgment for quantity take-offs and unit rates, finalization of estimates, selection and arrangement of craftsmen, and negotiation of unit prices with prime contractors are concentrated in the experience of individual managers and veterans. This over-reliance on individuals becomes a barrier to business succession and the development of young talent.
Incompatibility with Existing SaaS: Many existing SaaS solutions for the construction industry (photo ledgers, cost management, construction plan AI, etc.) have been introduced but do not align with companies' Excel templates, prime contractor formats, or on-site customs. As a result, only some functions are used, or the systems become formalized without being fully adopted.
This service addresses these challenges by identifying key bottlenecks through interviews and custom-implementing AI as an add-on to existing workflows.
■ Solution: Site-Led Custom Implementation
This service proceeds in three steps:
Step 1: Interview: Conduct interviews with managers, site agents, and estimation staff of target companies to understand existing workflows such as Excel quotation sheets, execution budget sheets, construction management tables, cost management Excel files, and internal Slack/LINE WORKS. Identify the main bottlenecks.
Step 2: Scope Setting: Set the scope from the four areas described below (A: Estimation / B: Process Management / C: On-site DX / D: Cost Management) according to the target company's main bottlenecks.
Step 3: Custom Implementation: Implement AI according to the scope. Design inputs and outputs to match existing Excel templates, internal files, and prime contractor formats, introducing it in a way that site staff can handle within their existing business flows.
The final estimation, arrangement, cost judgment, and reporting to prime contractors are performed by the client's managers, site agents, and staff. AI does not take over judgment but rather supports it.