From 'Voice Recording' to 'AI-Powered Decision Support' in One Solution — Mirokuru's Equipment Maintenance Cloud 'Mirokuru Chart' Revamps with New Integrated 'Mirokuru AI Maintenance Navigator'

Mirokuri Co., Ltd. (Headquarters: Nankoku City, Kochi Prefecture; President & CEO: Takao Ido) will significantly revamp its field-oriented AI add-on service 'Mirokuru AI Maintenance Navigator' for its equipment maintenance cloud 'Mirokuru Chart' through functional integration, launching the new service on July 1, 2026.

Concurrently, the company will exhibit at both 'Maintenance Resilience 2026' and 'TECHNO-FRONTIER2026', held at Tokyo Big Sight from Wednesday, July 15 to Friday, July 17, 2026.

At the exhibition booths, the upgraded 'Mirokuru AI Maintenance Navigator' will be demonstrated on actual devices. Visitors can experience the user interface and explore practical use cases, gaining firsthand insight into a system designed to thrive in real-world field operations.

🔗 Official Website: 'Maintenance Resilience 2026'

🔗 Official Website: 'TECHNO-FRONTIER2026'

● Background of the 'Mirokuru AI Maintenance Navigator' Revamp

AI Voice Input That Captures Field Data as-Is

In equipment maintenance environments, persistent challenges such as 'incomplete records,' 'knowledge siloed among individuals,' and 'reliance on veteran staff for decisions' often result in valuable on-site expertise being lost or underutilized. To address these issues more effectively, Mirokuri has progressively developed a series of field-integrated AI add-on services—not to replace humans, but under the philosophy of 'AI that leverages human expertise and supports human judgment.'

Initially, 'Mirokuru AI Maintenance Navigator' and 'Mirokuru AI Voice Input' were conceived as separate, independent options.

However, during customer trials of the alpha version of 'Mirokuru AI Voice Input,' it became evident that the two functions were not meant to operate in isolation. Their true value emerges only when integrated into a unified system.

Only with accurate, well-structured records created on-site can AI precisely identify similar past incidents and provide relevant response support. It is only when both 'recording' and 'decision-making' functions are seamlessly connected that field teams can simultaneously reduce workload and accelerate decision-making.

● Key Features of the New 'Mirokuru AI Maintenance Navigator'

The revamped 'Mirokuru AI Maintenance Navigator' consists of two core functions: the 'entry point for recording' and the 'exit point for decision support.'

Entry Point: Voice Input Guidance Function (integrates 'Mirokuru AI Voice Input (alpha version)')

Mirokuru AI Maintenance Navigator: Voice Input Guidance Screen

Even when overwhelmed with tasks or uncomfortable with manual input—simply speak into a smartphone or tablet on-site to create a record. AI instantly guides users by highlighting missing items or additional information needed, correcting input omissions and inconsistent terminology in real time.

This resolves common field issues like 'I'll input it later' or 'I'm not sure what to document,' enabling the creation of high-precision maintenance records on the spot—records that can later be used for analysis and review.

Exit Point: Work Support Chat Function (evolved from the original 'Mirokuru AI Maintenance Navigator')

Mirokuru AI Maintenance Navigator: Work Support Chat Screen

'Hey, the pump is making a strange noise?'

In response to such natural, on-site inquiries, the AI analyzes past repair histories and response logs, instantly providing similar past cases and initial response suggestions through an interactive chat interface.

Even without a veteran technician nearby, junior staff can act confidently. This transforms veteran expertise into a shared organizational asset, helping eliminate knowledge silos and improve the quality of on-site decisions.

Integration of Two Functions — Connecting 'Recording' to 'Decision-Making' in the Field

[Voice Recording] → [AI Correction & Guidance] → [AI Chat Assists the Field]

This is the essence of the new 'Mirokuru AI Maintenance Navigator' (see diagram below for detailed workflow).

Records captured through voice are refined by AI and transformed into knowledge that supports future on-site decisions.

As the volume of high-quality records grows, the AI's ability to assist the field becomes increasingly accurate—creating a virtuous cycle fully contained within a single add-on service.

Minimizing input burden while enabling immediate access to knowledge on-site.

This evolution represents the most complete embodiment yet of Mirokuri's vision: 'AI that leverages human expertise and supports human judgment.'

● Exhibition Information: 'Maintenance Resilience 2026' and 'TECHNO-FRONTIER2026'

Exhibition Overview: Maintenance Resilience 2026 (East Exhibition Hall)

Event Dates: Wednesday, July 15 – Friday, July 17, 2026, 10:00–17:00

Booth Number: 1-R15

Advance Registration (Free): Register here

Exhibition Overview: TECHNO-FRONTIER2026 (West Exhibition Hall / Inside IoT Shichitsugu Pavilion)

Event Dates: Wednesday, July 15 – Friday, July 17, 2026, 10:00–17:00

Booth Number: 1-P37 (Inside IoT Shichitsugu Pavilion)

Advance Registration (Free): Register here

🔍 Seminar Overview: IoT Shichitsugu Seminar (within TECHNO-FRONTIER2026)

Title: Where is the 'Right Answer' for Equipment Maintenance DX in the AI Era? Achieving 'We Can Do Better' for Both Field and Management. Challenges Beyond Existing Approaches and the Future of Maintenance DX as Envisioned by Mirokuru Chart

Dates & Times: Wednesday, July 15, 12:30–12:50; Thursday, July 16, 15:00–15:20

Venue: West Exhibition Hall (IoT Shichitsugu Seminar Room)

Capacity: 40 attendees

Recommended Audience: Executives uncertain about DX direction, professionals considering AI adoption, and those responsible for field digitalization

Registration Process (Free):

1. Complete the 'TECHNO-FRONTIER2026 Advance Visitor Registration' above

2. From your visitor account page, go to 'Seminar Pre-Registration' and select this seminar under 'IoT Shichitsugu Seminar'

Seminar Content:

Aging equipment, retirement of veteran staff, and stagnation in junior staff development—maintenance operations face a quiet crisis. Meanwhile, management and field teams often see different realities, and DX investments made without bridging this gap rarely yield tangible results.

This seminar will compare three approaches to maintenance DX—migration-focused, high-functionality-focused, and in-house development—clarifying their strengths and the challenges they fail to address in the long term. We will introduce the concept of 'essential maintenance DX' that reliably transfers field knowledge to the next generation and becomes a foundation for management decisions, alongside the design philosophy of Mirokuru Chart.

● About the Equipment Maintenance Cloud 'Mirokuru Chart'

Equipment Maintenance Cloud 'Mirokuru Chart'

The Equipment Maintenance Cloud 'Mirokuru Chart' is a cloud service covering the entire scope of maintenance operations—from daily inspections, repairs, and part replacements to spare parts management and data analysis.

For field-based equipment maintenance, where challenges like 'incomplete records,' 'knowledge siloed among individuals,' and 'over-reliance on veteran staff for decisions' persist, 'Mirokuru Chart' provides a solution. Its intuitive interface allows easy input via smartphones or tablets, naturally establishing a culture of 'collecting and utilizing' records for daily inspections, repair histories, and part replacements. Histories are automatically organized into clear, accessible formats for all.

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