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Obayashi pilots Tektome AI for early-stage code research

6 hours ago
By AI, Created 04:59 UTC, Aug 19, 2026, AGP -

Obayashi Corporation is piloting Tektome's construction-specific AI platform for statutory and local ordinance research during early design work. The trial aims to cut research time, improve collaboration between designers and legal reviewers, and keep final judgment with people.

Why it matters: - Obayashi is testing a way to move legal and ordinance checks earlier and keep them running throughout design, instead of waiting for milestone reviews. - The pilot could reduce time spent on statutory research, help designers catch issues sooner and make internal reviews more efficient. - The workflow is designed to preserve human decision-making while using AI to organize research and flag unresolved issues.

What happened: - Tektome Inc. is providing Obayashi Corporation with its construction-specific agentic intelligence platform for statutory and local ordinance research in the early design phase. - The pilot is part of Obayashi's broader push to use generative AI. - The work is being carried out through collaboration between design teams and the Architectural Design Legal Department. - Designers are now using the platform on several live design projects after the department first verified the agent's accuracy and best use.

The details: - Design work in Japan can require checks against the Building Standards Act, Fire Service Act, Energy Conservation Act, regional ordinances and official notifications. - The Architectural Design Legal Department handles designer consultations and reviews design content. - The pilot places an AI agent between designers' initial research and specialist legal review. - Designers use the agent to organize points for confirmation through dialogue before legal review. - The department focuses on issues that require expert judgment. - The goal is to turn legal checks from discrete checkpoints into continuous support as design progresses. - In the verification phase, time spent on statutory research and organizing requirements fell from 4.3 hours a week per person to 1.4 hours, a reduction of 2.9 hours a week. - Tektome's platform combines multiple construction-specific AI agents, including Regulations Research and Requirements Management. - The platform does not require bespoke development and works from natural-language instructions. - The Regulations Research agent uses statutory information, Obayashi's checking criteria and verification methods, and accumulated platform knowledge. - Designers use the agent as a sounding board and as a self-check before legal review. - The agent gives a conclusion first, then cites the statutory provisions behind it. - When the agent cannot settle an issue, it marks the point as requiring confirmation rather than giving a final answer. - The platform can output tables and diagrams to support understanding, internal sharing and consensus-building. - Designers said the system helps surface issues beyond their own knowledge and reduces research time. - Designers also said source citations make it easier to verify answers and use them in internal documents.

Between the lines: - Obayashi appears to be using AI not as a replacement for legal review but as a front-end filter that organizes research before specialists step in. - The biggest operational gain may be not just time savings, but a more shared understanding of compliance issues across design and legal teams. - Tektome is positioning its product around accumulated company knowledge, which could make each deployment more valuable over time.

What's next: - Tektome and Obayashi will continue verifying the pilot's effectiveness. - The companies will also explore additional use cases for the platform. - Tektome says it wants to expand human-AI collaboration across design and construction work and move AI in construction from concept to practical use.

The bottom line: - Obayashi is testing whether AI can make regulatory research faster, more continuous and more collaborative without taking final judgment away from people.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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