AI-FTA Agent | On-site Decision Support Tool

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Cognitech.DEV / Genba Brain150

last updated：Apr 19, 2026

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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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

Delivery Time

※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

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.
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.