Loglass Management Launches Interactive AI Analysis Function, Streamlining Pre-Meeting Analysis and Document Preparation to Support High-Quality Discussions and Decision-Making

Loglass Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director, Executive Officer CEO: Tomoya Nunokawa; hereinafter "the Company") is pleased to announce the addition of an interactive AI analysis function to the dashboard and report screens of its cloud management system, "Loglass Management."

By simply entering queries into a chat, users can grasp key factors in monthly budget-versus-actual analysis and generate reports, graphs, and summary reports. Through repeated conversations with the AI, users can drill down to journal entries, and generated graphs and summary reports can be placed on the dashboard. This feature is provided as a standard function without additional cost, transforming the time management planning personnel previously spent on document creation and report preparation into time dedicated to discussions and decision-making.

Feature introduction page: https://loglass.jp/solution/ai-analysis

Background of Development

In recent years, the uncertainty of the business environment has increased due to geopolitical risks and market fluctuations, making the speed and quality of decision-making increasingly critical for corporate competitiveness. In such an environment, establishing a system that can analyze management figures in real-time and reflect them in decisions has become an urgent management issue for many companies.

On the other hand, when management planning personnel prepare for management meetings, they often only have aggregated data at hand, and discussions are sometimes postponed because they cannot immediately answer additional questions with supporting evidence during the meeting. Even when preparing for anticipated Q&A before meetings, it takes time to cross-reference reports and visually analyze discrepancies. Furthermore, the depth of analysis and analytical perspectives vary among personnel, making it difficult to standardize materials and reports for management meetings, thereby limiting the time available for essential decision-making.

In September 2025, the Company announced its "Loglass AI Agents" concept, aimed at supporting strategic decision-making for businesses. Based on this concept, this release adds AI analysis functions to the dashboard and report screens of "Loglass Management." Through dialogue with AI, users can delve deeper into the "why" behind figures and utilize the generated graphs and summary reports as meeting and management materials.

Details of AI Analysis Function

AI analysis function is an interactive analysis function specialized in management data. When a natural language query is entered into the chat on the dashboard or report screen, it responds based on the actual managerial accounting data accumulated in "Loglass Management." The main functions are as follows:

① Discrepancy Detection and Issue Identification

Before meetings (during issue organization), it quickly identifies "where significant movements occurred" such as budget-versus-actual discrepancies and year-on-year differences, reducing the oversight of key issues. It presents structured information on categories, departments, and segments with large discrepancies, and also proposes further angles for deeper investigation.

② Deep Dive into Causes

For explaining discrepancies before and during meetings, it organizes the causes and evidence for increases/decreases, gathering necessary materials for explanations. In addition to breaking down discrepancies, it allows drill-through to details (journal entries) from cells and graphs, and facilitates additional inquiries.

③ Report Summary Generation

When creating monthly reports, it prepares a draft of the report summary and quickly aligns the narrative. Based on the interpretation of graphs and report data, it organizes the story as "what happened → why it happened → how to improve," structuring insights and next actions.

④ Graph Creation and Reflection on Dashboard

By repeatedly entering natural language queries, reports are created, and optimal graphs are generated. The created content can be saved and placed on the dashboard, enabling smooth information sharing with the team.

It answers additional questions during meetings on the spot. This facilitates repeated discussions even in short meetings, creating a state where multiple people can discuss while looking at the same graphs and figures.

▼ Feature introduction video for data analysis to cause deep dive

▼ Feature introduction video for report summary generation to dashboard reflection

Customer Comments

MIXI Co., Ltd.

Even with the advancement of AI utilization, grasping organized information at the necessary granularity is essential for formulating appropriate "questions." In this regard, this function, which allows users to deepen analysis through dialogue with AI starting from the dashboard, is considered an effective tool for supporting productive discussions and agile decision-making.

Furthermore, with AI capable of referencing various data, including journal entries, we truly feel that all the information accumulated in Loglass has transformed into integrated, valuable assets. Moreover, by further leveraging existing functions such as "analysis axes" and "organizational hierarchy," the potential for insightful AI analysis will further expand, significantly contributing to the advancement of managerial accounting.

Moving forward, we expect this to be widely utilized in various situations across the entire company, regardless of management planning or on-site personnel, further promoting the democratization of analysis.

Delight Co., Ltd.

Our company operates diversified businesses

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