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  6. AI-FTA Agent | On-site Decision Support Tool

AI-FTA Agent | On-site Decision Support Tool

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Cognitech.DEV / Genba Brain150

last updated:Oct 22, 2026

電費半分 本社、埼玉営業所
電費半分 本社、埼玉営業所
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Just by entering on-site data, the cause of the failure and the verification procedure become visible.

The "AI-FTA Agent" is a field decision support tool that automatically organizes the causal relationships of failure causes, priorities to check, and supporting documents based on past failure reports, inspection records, and equipment materials. When you are unsure in the field, you can check: "Which cause should be verified first?" "What documents support that judgment?" This allows you to accumulate individual failure responses as a company asset for decision-making. 【Features】 ■ Utilize existing materials as they are Simply upload failure reports, inspection records, and equipment manuals. ■ Visualize causal relationships with a logic tree Organize the overall structure of failure causes and the flow of what to verify. ■ Support field decisions with evidence By asking questions in a chat, possible causes, inspection methods, and reference materials are provided. ■ Can start from one piece of equipment or one theme Test on a small scale and expand to multiple pieces of equipment or themes. *For more details, please refer to the PDF materials. Feel free to contact us for demo requests or trials with your own materials.

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AI-FTA Agent | On-site Decision Support Tool

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  • https://cognitech.dev/news/IirSUz12
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basic information

【Solving Such Issues】 ■ Dependence on the experience of veteran personnel for troubleshooting ■ Inability to utilize past failure reports and inspection records ■ Uncertainty about where to start checking when a problem occurs ■ Difficulty in passing on judgment know-how to younger staff ■ Time-consuming cause analysis and report preparation 【Main Features】 ■ Importing existing documents such as PDF, Word, and Excel ■ Automatic extraction of failure items, causes, countermeasures, and importance ■ Generation of causal relationship logic trees ■ Presentation of confirmation priorities and inspection methods ■ Cause verification and provision of supporting documents via chat ■ Output of analysis reports, FMEA, CSV, and logic diagrams 【Target Documents】 ■ Failure reports ■ Inspection records ■ Repair history ■ Equipment manuals ■ Work procedure documents ■ Past defect data

Price information

We can accommodate small-scale verification with one device and one theme. The cost will vary depending on the amount of materials, analysis theme, required functions, and output content. We will provide a detailed estimate individually.

Price range

P5

Delivery Time

P4

※It varies depending on the amount of target data, the analysis theme, and the required output content. For small-scale verification, it can start from one facility and one theme.

Applications/Examples of results

【Usage Examples】 ■ Cause analysis during equipment trouble occurrences ■ Knowledge management of failure reports and inspection records ■ Inheritance of judgment know-how from veteran personnel ■ Educational support for young maintenance staff ■ Consideration of recurrence prevention measures ■ Support for creating FMEA, maintenance plans, and improvement proposal documents 【Usage Image】 By registering failure reports, inspection records, equipment manuals, etc., with the AI-FTA Agent, you can organize the causal relationships of failure causes, the priorities to check, and supporting documents. 【Usage Example】 Based on malfunction data related to environmental equipment and heating furnaces, we have a track record of organizing failure causes across multiple pieces of equipment and visualizing the priority for cause verification. *For more details, please refer to the PDF document or feel free to contact us.*

Detailed information

  • hero_visual_v5_compressed.png

    This is an overall image of the AI-FTA Agent that visualizes the causal relationships and verification procedures of failure causes based on on-site data. It shows the flow from data input to causal tree generation, priority analysis, and chat verification.

  • e43d7f67-630a-48b8-b52b-3ed457878520.png

    This is an example of utilizing data on malfunctions related to environmental equipment and heating furnaces, where 11 facilities and 1212 cases of malfunction information have been organized to visualize the causes of failures that span multiple facilities and the priority of verification.

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Genba Brain 150

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AI-FTA Agent | Product Introduction and Usage Image Materials

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AI-FTA Agent | A4 flyer visualizing the causes of failures and verification procedures

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October 21, 2026 Equipment Diagnosis Technology Research Association 35th Anniversary Celebration Party

[Cognitech.DEV Blog] Abnormalities are visible. Is the information necessary for judgment in place? | Three Challenges of Equipment Maintenance

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Cognitech.DEV Co., Ltd. has published a blog that organizes the challenges of equipment maintenance. Even if an anomaly is detected, it is a separate judgment whether to repair it immediately, wait for the regular inspection, or continue monitoring. It is necessary to correlate not only measurement data but also operating conditions, failure and repair history, equipment documentation, and diagnostic insights. Based on participation in the Equipment Diagnosis Technology Research Association on October 21, 2026, the article discusses three challenges: 1. Transferring the reasons for veteran judgments to the next person in charge 2. Confirming the impact of a single anomaly on the entire process 3. Organizing judgment criteria for future labor-saving and automation Through HOZEN/AI-FTA and other means, we aim to separate verified facts, cause hypotheses, and missing information, creating an information foundation that allows experts to verify their reasoning. The effectiveness will be validated by narrowing down the target equipment and operations. Article and service provided by Cognitech.DEV Co., Ltd. This news is featured on the exhibition page of Denpi Hanbun Co., Ltd. For the full text and illustrations, please visit the official blog below.

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電費半分

電費半分 本社、埼玉営業所

Consumer Electronics

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Our company is a specialty store focused on LED lighting and custom solutions. We can accommodate OEM products for LED lighting in small lots. Additionally, regarding plant cultivation, we offer proposals tailored to current needs, including mobile container farms, compact growth systems, and custom growth shelves. We also have lighting options that comply with JIS8006 for marine applications, in addition to standard lighting. Furthermore, we provide lighting fixtures that can be used in ultra-low temperature environments, as well as types with emergency light functions. For inquiries about LED lighting and plant cultivation, please feel free to consult with us.

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