[Survey of IT System Managers at AIOps-Adopting Companies] Approximately 70% Successfully Reduced Workload, While 90% Felt New Burden from AI Malfunction Response

Bosco Technologies Inc. (Headquarters: Minato-ku, Tokyo; Representative Director: Keisei Hayashi) announced today the results of a survey on the actual state of automation among AIOps-adopting companies, targeting 110 IT system managers who have implemented AIOps or AI-powered IT operations automation tools.

01｜Approximately 70% of IT system managers at AIOps-adopting companies experienced reduced workload after implementation.

02｜Over 60% (66.4%) experienced AI misdetection or malfunction.

03｜Approximately 90% (89.0%) felt burdened by responding to misdetection and malfunction.

Download this survey report here:

https://www.bosco-tech.com/document/ai-ops-survey-2605/

■ Survey Overview

Survey Name: Survey on the Actual State of Automation at AIOps-Adopting Companies

Survey Method: Internet survey planned by "Resapii®︎," a research marketing service provided by IDEATECH.

Survey Period: November 12, 2025, to November 13, 2025.

Valid Responses: 110 IT system managers at companies that have implemented AIOps or AI-powered IT operations automation tools.

*To ensure the total is 100%, some figures have been rounded. Therefore, there may be slight discrepancies from actual calculated values.

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■ Top AIOps Implementation Purpose: "Solving IT Operations Tribal Knowledge" at 59.1%, Over 50% for Speeding Up Alert Response

When asked "Q1. What were the main objectives for implementing AIOps or AI-powered operations automation? (Multiple answers)" (n=110), the responses were: "To solve IT operations tribal knowledge" at 59.1%, "To reduce operational costs" at 54.5%, and "To speed up alert response" at 52.7%.

Q1. What were the main objectives for implementing AIOps or AI-powered operations automation? (Multiple answers)

・To solve IT operations tribal knowledge: 59.1%

・To reduce operational costs: 54.5%

・To speed up alert response: 52.7%

・To improve monitoring accuracy: 50.9%

・To strengthen proactive detection of failures: 47.3%

・To achieve a constant monitoring system: 41.8%

・To reduce manual errors: 40.0%

・Other: 0.0%

・None in particular: 5.5%

・Don't know/Cannot answer: 3.6%

■ 75% Feel Workload Reduction with AI Operations Automation, Clear Implementation Effects

When asked "Q2. How has your workload changed before and after implementing AIOps or AI-powered operations automation?" (n=110), the responses were: "Significantly reduced" at 24.5% and "Somewhat reduced" at 50.9%.

Q2. How has your workload changed before and after implementing AIOps or AI-powered operations automation?

・Significantly reduced: 24.5%

・Somewhat reduced: 50.9%

・Somewhat increased: 10.9%

・Significantly increased: 0.9%

・Don't know/Cannot answer: 12.7%

■ AI Drastically Reduces Operations Tasks! Top is "Visual Log Confirmation" with 67.5% Reduction

When asked "Q3. For those who answered 'Significantly reduced' or 'Somewhat reduced' in Q2, please tell us which tasks were reduced or alleviated by the implementation of AIOps or AI-powered operations automation? (Multiple answers)" (n=83), the responses were: "Visual log confirmation tasks" at 67.5%, "Creation of routine monitoring reports" at 61.4%, and "Late-night/holiday alert response" at 53.0%.

Q3. For those who answered 'Significantly reduced' or 'Somewhat reduced' in Q2, please tell us which tasks were reduced or alleviated by the implementation of AIOps or AI-powered operations automation? (Multiple answers)

・Visual log confirmation tasks: 67.5%

・Creation of routine monitoring reports: 61.4%

・Late-night/holiday alert response: 53.0%

・Initial failure isolation tasks: 53.0%

・Incident recording and ticket management: 53.0%

・Failure cause investigation and analysis tasks: 53.0%

・Reporting and communication to related departments: 33.7%

・Other: 2.4%

　ーReport update

　ーInformation gathering

・Don't know/Cannot answer: 0.0%

■ Approximately 70% of Companies Have Already Implemented Mechanisms for AI Malfunction Countermeasures

When asked "Q4. Have you implemented mechanisms to minimize the impact of AI malfunctions?" (n=110), the response was "Implemented."