Addressing 17 Key Japanese Government Areas: AI Factory 'AI Resilience on IDX' Evolves with New '7 Advisor Models' Specialized for Disaster Prevention and National Resilience
AI Data Inc. has announced the release of enhanced features for 'AI Resilience on IDX', a generative AI platform for disaster prevention and national resilience. The update introduces the '7 Advisor Models', covering all domains of disaster prevention and national land management. Specialized AIs in areas like weather, earthquakes, and infrastructure coordinate to provide comprehensive support from peacetime planning to emergency decision-making.
📋 Article Processing Timeline
- 📰 Published: May 22, 2026 at 18:50
- 🔍 Collected: May 22, 2026 at 10:31
- 🤖 AI Analyzed: May 22, 2026 at 10:38 (6 min after Collected)
AI Data Inc. (Headquarters: Minato-ku, Tokyo; CEO: Takahito Sasaki; hereinafter 'AI Data'), a company specializing in the utilization of enterprise data and AI, has launched an upgraded version of 'AI Resilience on IDX', a generative AI platform for disaster prevention and national resilience. This update introduces the new '7 Advisor Models', which cover all areas of disaster prevention and national land management.
▼ AI Resilience on IDX: An AI Platform Specialized for Disaster Prevention and National Resilience
■ Background: Moving to the 'Next Stage' of Disaster DX — Urgent Need for Information Integration and Faster Decision-Making
In its first iteration, 'AI Resilience on IDX' successfully converted disaster knowledge—such as disaster manuals, response case studies, training records, and recovery histories—into an AI-accessible format, providing decision-making support for field personnel and commanders.
However, the challenges facing Japan's disaster prevention and national resilience go beyond simple knowledge management. On the ground, the following structural issues remain unresolved:
- Delayed Decision-Making Due to Information Fragmentation: Weather, river, landslide, shelter, road, power, and infrastructure inspection records are managed separately by different organizations. The 'time-consuming integration' during a disaster is a root cause of damage escalation.
- Personalization of Disaster Prevention Know-How: Disaster response capabilities decline as veteran staff retire or transfer, making it continually difficult to standardize quality nationwide.
- Unclear Investment Priorities for Aging Infrastructure: It is difficult to comprehensively evaluate the deterioration levels, accident risks, and repair costs of bridges, tunnels, levees, water supply, and sewage systems, hindering the ability to 'invest first in the truly dangerous locations.'
- Disaster Prevention Disparities Among Municipalities: While some local governments are adopting AI, disparate systems prevent collaboration, creating a 'disaster prevention disparity' dependent on the financial strength of the municipality.
- Chain Risks to Industry and Economy Caused by Disasters: There is a lack of mechanisms to consolidate and optimize responses to the compounded impacts on transportation, communications, power, medical care, and logistics.
To solve these challenges, AI Data has equipped AI Resilience on IDX with the '7 Advisor Models.' The platform's functions have been vastly expanded to serve as a 'National Disaster Prevention Advisor OS' covering all domains of disaster prevention and land management.
■ What is the '7 Advisor Models'? — AI Divides and Integrates All Areas of Disaster Prevention and Land Management
The '7 Advisor Models' comprise seven specialized AI advisor functions built on the knowledge base (IDX) of AI Resilience on IDX, each tailored to a specific expert domain of disaster prevention and national land management. Each advisor handles the knowledge and response guides for its respective domain. By coordinating with each other, they provide end-to-end support from peacetime planning and training to emergency decision-making and recovery.
Advisor 1 | Weather & Disaster Advisor
— Integrates response knowledge for heavy rains, floods, and landslides
Converts response manuals, case studies, and checklists related to weather information, river water levels, and landslide hazard areas into an AI knowledge base. Field staff can instantly check 'how to act in this situation right now' via chat. It automatically generates response procedures tailored to the type, scale, and regional characteristics of heavy rains, floods, and landslides, accelerating initial responses.
Advisor 2 | Earthquake Advisor
— Supports responses to tremor impacts, aftershocks, and building damage
Converts initial response protocols, aftershock risk management, building damage verification procedures, and past case studies into knowledge. The AI instantly answers field queries such as 'What is the procedure for opening shelters while aftershocks continue?' or 'Where is the checklist for building damage verification?' It presents best practices from past earthquake responses to standardize response quality.
Advisor 3 | Infrastructure Advisor
— Supports management of inspection records, deterioration information, and repair priorities
Converts infrastructure inspection records, repair histories, and response manuals for bridges, tunnels, river structures, water systems, and slopes into knowledge. Based on accumulated inspection data, the AI assists in organizing deterioration status, considering repair priorities, and verifying cost-effectiveness. It provides data-driven evidence for 'what to fix first,' maximizing the effectiveness of national resilience investments.
Advisor 4 | Evacuation Advisor
— Supports wide-area evacuation planning, assistance for vulnerable people, and shelter operations
Converts evacuation plans, shelter operation manuals, and support cases for vulnerable individuals into knowledge. It instantly answers queries like 'What is the evacuation guidance procedure for people needing nursing care?' or 'What is the flow for checking shelter capacity?' It automatically generates evacuation procedures and checklists tailored to regional characteristics and disaster types, standardizing and accelerating evacuation responses.
Advisor 5 | Local Government PMO Advisor
— Standardizes plan formulation, training scenarios, and emergency decision-making
Converts municipal disaster prevention plans, BCPs, training records, and headquarters operation manuals into knowledge. During peacetime, the AI functions to support the review of disaster plans and generate training scenarios. During an emergency, it acts as an executive assistant to the disaster headquarters. It is a 'Disaster Prevention PMO Advisor' that reduces reliance on veteran staff and realizes uniform disaster response capabilities across any municipality nationwide.
Advisor 6 | Land Management Advisor
— Supports optimization of land use, disaster resources, and recovery priorities
(Text relating to Land Use Planning continues from original source...)
▼ AI Resilience on IDX: An AI Platform Specialized for Disaster Prevention and National Resilience
■ Background: Moving to the 'Next Stage' of Disaster DX — Urgent Need for Information Integration and Faster Decision-Making
In its first iteration, 'AI Resilience on IDX' successfully converted disaster knowledge—such as disaster manuals, response case studies, training records, and recovery histories—into an AI-accessible format, providing decision-making support for field personnel and commanders.
However, the challenges facing Japan's disaster prevention and national resilience go beyond simple knowledge management. On the ground, the following structural issues remain unresolved:
- Delayed Decision-Making Due to Information Fragmentation: Weather, river, landslide, shelter, road, power, and infrastructure inspection records are managed separately by different organizations. The 'time-consuming integration' during a disaster is a root cause of damage escalation.
- Personalization of Disaster Prevention Know-How: Disaster response capabilities decline as veteran staff retire or transfer, making it continually difficult to standardize quality nationwide.
- Unclear Investment Priorities for Aging Infrastructure: It is difficult to comprehensively evaluate the deterioration levels, accident risks, and repair costs of bridges, tunnels, levees, water supply, and sewage systems, hindering the ability to 'invest first in the truly dangerous locations.'
- Disaster Prevention Disparities Among Municipalities: While some local governments are adopting AI, disparate systems prevent collaboration, creating a 'disaster prevention disparity' dependent on the financial strength of the municipality.
- Chain Risks to Industry and Economy Caused by Disasters: There is a lack of mechanisms to consolidate and optimize responses to the compounded impacts on transportation, communications, power, medical care, and logistics.
To solve these challenges, AI Data has equipped AI Resilience on IDX with the '7 Advisor Models.' The platform's functions have been vastly expanded to serve as a 'National Disaster Prevention Advisor OS' covering all domains of disaster prevention and land management.
■ What is the '7 Advisor Models'? — AI Divides and Integrates All Areas of Disaster Prevention and Land Management
The '7 Advisor Models' comprise seven specialized AI advisor functions built on the knowledge base (IDX) of AI Resilience on IDX, each tailored to a specific expert domain of disaster prevention and national land management. Each advisor handles the knowledge and response guides for its respective domain. By coordinating with each other, they provide end-to-end support from peacetime planning and training to emergency decision-making and recovery.
Advisor 1 | Weather & Disaster Advisor
— Integrates response knowledge for heavy rains, floods, and landslides
Converts response manuals, case studies, and checklists related to weather information, river water levels, and landslide hazard areas into an AI knowledge base. Field staff can instantly check 'how to act in this situation right now' via chat. It automatically generates response procedures tailored to the type, scale, and regional characteristics of heavy rains, floods, and landslides, accelerating initial responses.
Advisor 2 | Earthquake Advisor
— Supports responses to tremor impacts, aftershocks, and building damage
Converts initial response protocols, aftershock risk management, building damage verification procedures, and past case studies into knowledge. The AI instantly answers field queries such as 'What is the procedure for opening shelters while aftershocks continue?' or 'Where is the checklist for building damage verification?' It presents best practices from past earthquake responses to standardize response quality.
Advisor 3 | Infrastructure Advisor
— Supports management of inspection records, deterioration information, and repair priorities
Converts infrastructure inspection records, repair histories, and response manuals for bridges, tunnels, river structures, water systems, and slopes into knowledge. Based on accumulated inspection data, the AI assists in organizing deterioration status, considering repair priorities, and verifying cost-effectiveness. It provides data-driven evidence for 'what to fix first,' maximizing the effectiveness of national resilience investments.
Advisor 4 | Evacuation Advisor
— Supports wide-area evacuation planning, assistance for vulnerable people, and shelter operations
Converts evacuation plans, shelter operation manuals, and support cases for vulnerable individuals into knowledge. It instantly answers queries like 'What is the evacuation guidance procedure for people needing nursing care?' or 'What is the flow for checking shelter capacity?' It automatically generates evacuation procedures and checklists tailored to regional characteristics and disaster types, standardizing and accelerating evacuation responses.
Advisor 5 | Local Government PMO Advisor
— Standardizes plan formulation, training scenarios, and emergency decision-making
Converts municipal disaster prevention plans, BCPs, training records, and headquarters operation manuals into knowledge. During peacetime, the AI functions to support the review of disaster plans and generate training scenarios. During an emergency, it acts as an executive assistant to the disaster headquarters. It is a 'Disaster Prevention PMO Advisor' that reduces reliance on veteran staff and realizes uniform disaster response capabilities across any municipality nationwide.
Advisor 6 | Land Management Advisor
— Supports optimization of land use, disaster resources, and recovery priorities
(Text relating to Land Use Planning continues from original source...)
FAQ
「AI Resilience on IDX」の「7参謀モデル」とは何ですか？
防災・国土管理の専門領域ごとに特化した7つのAI参謀機能です。気象・災害、地震、インフラ、避難などの各専門ナレッジを担当し、相互連携することで平時の計画から有事の意思決定まで一気通貫でサポートします。
日本の防災・国土強靭化における現在の構造的課題は何ですか？
情報の分断による意思決定の遅延、ベテラン職員の退職等に伴う防災ノウハウの属人化、老朽インフラの投資優先順位の不明確さ、自治体間の防災格差などが挙げられます。
「インフラ参謀」は具体的にどのような支援を行いますか？
橋梁・トンネル・上下水道などのインフラ点検記録や修繕履歴をナレッジ化し、劣化状況の整理や修繕優先順位の検討、費用対効果の確認をAIが支援します。
「自治体PMO参謀」は平時にどのような役割を果たしますか？
自治体の防災計画、BCP、訓練記録などをナレッジ化し、平時には防災計画の見直し支援や訓練シナリオの生成を行います。
「気象・災害参謀」が対応する主な災害は何ですか？
豪雨、洪水、土砂崩れに関する対応ナレッジを統合し、状況に応じた対応手順書を自動生成して初動対応の迅速化を支援します。