#Japan #Tokyo #AI Central Voice #Infroneer Holdings #テックタッチ

Infroneer Holdings Partners with AI Central Voice for Employee Engagement

In a significant step towards improved employee satisfaction and engagement, Infroneer Holdings, a comprehensive infrastructure service company based in Chiyoda, Tokyo, has announced the integration of the "AI Central Voice," a data-driven AI agent developed by Tech Touch. This collaboration will enable Infroneer to automate the structuring and analysis of open-ended responses in their employee engagement surveys, which exceed 10,000 comments across multiple sectors and demographics.

Context of Implementation

Infroneer Holdings operates multiple subsidiary companies, including Maeda Corporation, Maeda Road, Maeda Manufacturing, Japan Wind Development, and Sumitomo Mitsui Construction. Given its commitment to enhancing employee engagement and fostering collaboration across its business units, the company previously employed manual analysis but faced limitations given the vast amount of qualitative feedback.

The responses gathered from employees often contained diverse and nuanced sentiments that were difficult to analyze manually. Infroneer sought a solution that could provide insights across the various companies and roles within the group without being reliant solely on intuition or regional observations. This led them to seek a data-driven platform that could help identify shared challenges across the group and address unique company-specific needs for enhancing workplace satisfaction.

Rationale Behind the Integration

The decision to adopt AI Central Voice stemmed from its capability to automatically categorize and analyze large volumes of unstructured data, such as free-text feedback from employees. Key features that attracted Infroneer to this technology include:

• - Context Decomposition: The system breaks down a single comment containing multiple contextual intentions into structured elements for easier analysis.
• - Automatic Categorization: It can generate purpose-specific categories tailored to the unique challenges and goals of the company.
• - Multi-Stage Preprocessing: Providing stable and high-precision analysis with minimal misclassification or noise, ensuring reliable results.
• - Integrated Analysis: The ability to combine qualitative feedback with quantitative metrics like eNPS (Employee Net Promoter Score), enabling better understanding of underlying factors.

With these features, Infroneer expects to efficiently convert the vast amount of free-text feedback into actionable insights, supporting the rapid development of HR strategies.

Anticipated Benefits

The anticipated effects of implementing AI Central Voice at Infroneer Holdings include:

1. Visibility of Common Challenges: Utilizing data to identify trends across different sectors and demographics, leading to unified understanding among executives and subsidiaries.
2. Data-Driven Prioritization: Decision-making based on which categories significantly impact eNPS, allowing for focused improvements.
3. Root Cause Identification: Combining quantitative and qualitative insights to reveal critical issues behind low scores, such as connections to overtime hours or leave entitlements.
4. Tailored Improvement Activities: Sharing analysis results across business units to promote focused improvement initiatives based on specific challenges faced by each subsidiary, accelerating transformation from the ground up.

Future Aspirations

Infroneer plans to leverage the capabilities of AI Central Voice to advance group management and drive digital transformation initiatives further. The company aims to establish mechanisms for continuous assessment of organizational changes and track the execution of key strategies outlined in their mid-term business plan. Additionally, they will explore the correlation between newer surveys, such as understanding employee expectations, to fine-tune their HR strategies.

Moreover, Infroneer envisions integrating employee feedback with other corporate HR data to build a comprehensive foundation for ongoing improvement activities throughout the group.

Management Insight

According to Nakatsudou from Infroneer Holdings, manually analyzing free-text feedback was time-consuming and often didn't yield actionable insights quickly. With AI Central Voice's implementation, the company expects to significantly reduce the time required for analysis and develop refined strategies promptly. Clear identification of issues will accelerate improvement efforts and create a more responsive organizational culture.

About Infroneer Holdings

Founded in October 2021 as a joint holding company by Maeda Corporation, Maeda Road, and Maeda Manufacturing, Infroneer aims to be a comprehensive infrastructure service entity. The company has continued to evolve, now also encompassing partners such as Japan Wind Development and Sumitomo Mitsui Construction. They are committed to addressing significant societal challenges, including aging infrastructure, funding shortages for local governments, and labor shortages, all while leveraging their engineering capabilities to foster sustainable social infrastructure.

For more information about Infroneer Holdings, visit their official website.

About AI Central Voice

AI Central Voice is an AI agent designed for generating business insights. Unlike general AI, this agent specializes in transforming vast amounts of unstructured data into valuable information using over 30 proprietary preprocessing modules. Its robust analysis capabilities extend to customer feedback and employee reports, providing direct, actionable insights for effective decision-making.

With a strong customer success framework focused on large enterprises, Tech Touch provides support to clients by understanding their business needs and assisting with AI-based operational designs. The analysis made possible by AI Central Voice aims to not just enhance productivity but also create new value for enterprises.

To learn more about AI Central Voice, visit their official website.