miibo Launches 'miibo for Customer Support,' an AI SaaS That Leverages Human Interaction for Future AI Responses

## miibo Launches 'miibo for Customer Support,' an AI SaaS That Leverages Human Interaction for Future AI Responses

miibo, Inc. (Headquarters: Minato-ku, Tokyo; CEO: Masashi Kunugita) announced the launch of 'miibo for Customer Support,' an AI SaaS designed to support enterprises in initial AI response, human-agent collaboration, knowledge improvement, and outcome visualization, effective June 9, 2026.

This service is designed to utilize queries that remain unresolved by AI and the subsequent human interactions to improve future AI responses and overall knowledge base.

Service Website: https://cs.miibo.ai/

Alongside the launch, the company has started accepting requests for implementation consultations and information materials, as well as registrations for a free webinar on addressing operational challenges after introducing AI in customer support.

### Background: AI Customer Support Reaches a Stage Where 'Post-Implementation Operation' Determines Success

With the spread of generative AI, the adoption and testing of AI in customer support are progressing. However, simply introducing AI does not automatically reduce the workload of managing inquiries.

A survey conducted by miibo targeting 700 individuals with experience in AI adoption/testing revealed ongoing operational challenges such as verifying AI responses, managing human escalations, updating knowledge, and visualizing outcomes.

#### Burdens of Verifying and Correcting AI Responses Persist

In the survey, 54.7% of respondents indicated that the burden of verifying and correcting AI responses did not decrease after AI implementation.

#### Companies That See Results Tend to Continuously Update Knowledge

There was a significant gap in knowledge update frequency between companies using AI for full-scale operations, partial deployment, and those in the beta/PoC stages. A similar trend was observed in the perceived effectiveness rate, suggesting that companies that actively update their knowledge bases are more likely to experience positive results from AI adoption.

#### Leveraging Unresolved Inquiries and Visualizing Outcomes Are Bottlenecks

Meanwhile, 44.7% of companies are not sufficiently leveraging inquiries that were not resolved by AI for knowledge improvement.

Furthermore, only about half of the companies managed their AI resolution rates or escalation rates to human agents, leaving room for improvement in visualizing performance and identifying improvement areas.

### Three Key Features of 'miibo for Customer Support' to Support Post-Implementation Improvements

'miibo for Customer Support' is equipped with functions to prevent inquiries unresolved by AI from ending with a manual response, instead utilizing them for future AI answers and knowledge base improvements.

It supports initial AI response, human intervention, knowledge updating, and visualization in one package to improve self-resolution rates, reduce human intervention, and visualize areas for improvement.

#### Feature 1: Seamless Connection from Initial AI Response to Human Intervention

AI handles initial inquiries. Queries that cannot be answered or require judgment can be handed over to humans along with the conversation history.

Staff can handle inquiries with an understanding of the background and context, allowing implementation while maintaining existing support structures.

#### Feature 2: Utilizing Human Interaction Data for Knowledge Updates and Future AI Responses

Based on human interaction data, AI suggests revisions to existing knowledge or proposals for new knowledge, reducing the burden of maintenance.

At the same time, 'Hallucination Analysis' and 'Problem Solving Analysis' allow users to verify the reliability of responses and the resolution status of inquiries.

#### Feature 3: Visualizing AI and Human Performance for Improvement Decisions

Key metrics such as AI resolution status, human handoffs, average resolution time, and CSAT are visualized on a dashboard.

Because performance and areas for improvement can be seen on the same screen, operations managers can more easily decide what to improve.

### Over 100 Functional Improvements Made Through Closed Beta Testing

During the closed beta phase, over 100 functional improvements were implemented based on real-world operational challenges, including initial setup difficulties, navigation flow, sensitive information input control, knowledge formatting, and periodic execution.

### Pricing: Starting from 100,000 JPY Initial Fee and 100,000 JPY Monthly

'miibo for Customer Support' is available starting from an initial fee of 100,000 JPY and a monthly fee of 100,000 JPY.

Multiple plans are available based on inquiry volume and functionality needs, tailored to each company's operational setup.

### Acceptance of Consultation Requests and Free Webinar Registrations Starts Today

Starting today, miibo is accepting inquiries for implementation consultations, document requests, and registrations for a free online webinar.