AolanaU Announces "Agent Growth Platform (AGP)" to Support Context Management Essential for Enterprise AI Utilization, Begins Implementation Support for Enterprises
AolanaU has announced "Agent Growth Platform (AGP)" which supports context management essential for enterprise AI utilization. This framework and implementation support help enterprises organize scattered business contexts, enabling AI to be used safely and with high accuracy, aiming to solve operational challenges after AI adoption.
📋 Article Processing Timeline
- 📰 Published: April 27, 2026 at 20:00
- 🔍 Collected: April 27, 2026 at 11:31
- 🤖 AI Analyzed: April 28, 2026 at 03:12 (15h 40m after Collected)
April 27, 2026
To the media
AolanaU Inc.
AolanaU Inc. (Headquarters: Chuo-ku, Tokyo; Representative Director and President: Tomoyuki Wagatsuma; hereinafter "AolanaU") announces "Agent Growth Platform (hereinafter, AGP)" as a framework to support the utilization of generative AI and AI agents in enterprises, and begins implementation support for enterprises.
AGP is not merely a tool for introducing AI agents. It is a framework for extracting and organizing business contexts such scattered within an enterprise, such as meeting records, inquiry histories, business rules, knowledge, and judgment histories, and preparing them for AI agents to be used safely. While the business utilization of generative AI is progressing, many companies face challenges such as "what should AI refer to?", "what information can AI use?", "who updates and approves it?", and "how to maintain answer quality?". AolanaU addresses these challenges not by aiming to introduce a specific AI tool, but by providing support to ensure AI utilization moves beyond PoCs and becomes established in practical operations, through the diagnosis, design, maintenance, and operation of internal corporate contexts.
■ Background
The use of generative AI and AI agents, such as ChatGPT, Claude, Microsoft Copilot, and ServiceNow Now Assist, is rapidly expanding. However, information within enterprises is dispersed across various systems like ServiceNow, Box, SharePoint, Slack, Teams, Notion, Backlog, meeting minutes, FAQs, and inquiry histories, and is not yet in a state where AI can safely utilize it. To enhance the outcomes of AI utilization, not only the performance of AI models but also the quality of the business context AI refers to and its operational design are crucial. Furthermore, in enterprise AI utilization, it is important not only "what to make AI remember" but also "what to prevent AI from continuously referencing." If AI continues to refer to outdated business rules, judgments from finished projects, or knowledge whose scope has changed, it can lead to incorrect answers or flawed decision support. AGP emphasizes not only accumulating business contexts but also managing the freshness of information, accountability, approval status, and application status, to remove outdated or unsuitable information from AI's reference scope, thereby structurally suppressing the risk of incorrect answers and judgment errors.
■ Support provided by AGP
Based on the AGP concept, AolanaU provides the following support:
・Diagnosis of internal corporate context and organization of AI utilization use cases
・Context classification and metadata design
・Design of authorization, approval, and update rules
・Management of information freshness and application status
・Support for integration with existing business systems, including ServiceNow
・Evaluation and improvement of AI answer quality
・Continuous operational support for AI agent utilization
AGP does not replace existing systems. It focuses on leveraging the business systems and information assets that companies are already using and preparing them for safe AI reference.
■ Practice in internal and customer PoCs
AolanaU has been conducting validations regarding the extraction, organization, and utilization of business contexts through internal AI-driven development and PoCs with multiple companies. AGP is an initiative to support the continuous improvement of AI utilization in enterprises, based on the knowledge gained from these practices. A part of the technologies related to AGP is currently under patent application.
■ Future Developments
Based on the AGP concept, AolanaU will first provide context diagnosis for enterprises, AI utilization roadmap formulation, ServiceNow × AI utilization support, and AI agent PoC support. Moving forward, we will develop templates, diagnostic frameworks, and operational support infrastructure for continuous management and improvement of internal corporate contexts. We will also begin accepting consultations regarding AGP context diagnosis.
■ Regarding Patent Application
A patent application is pending for a part of the technologies related to AGP.
Application number: Japanese Patent Application No. 2026-051689
Name of invention: Knowledge management method, program, and information processing device
Comment from Tomoyuki Wagatsuma, Representative Director and President of AolanaU Inc.
The utilization of generative AI and AI agents will significantly influence future corporate competitiveness. However, when trying to integrate AI into actual operations, many companies face challenges such as "what should AI refer to?", "what information can AI use?", and "how to continuously update it?". We believe that the essence of AI utilization is not just tool introduction, but managing internal corporate contexts.
To the media
AolanaU Inc.
AolanaU Inc. (Headquarters: Chuo-ku, Tokyo; Representative Director and President: Tomoyuki Wagatsuma; hereinafter "AolanaU") announces "Agent Growth Platform (hereinafter, AGP)" as a framework to support the utilization of generative AI and AI agents in enterprises, and begins implementation support for enterprises.
AGP is not merely a tool for introducing AI agents. It is a framework for extracting and organizing business contexts such scattered within an enterprise, such as meeting records, inquiry histories, business rules, knowledge, and judgment histories, and preparing them for AI agents to be used safely. While the business utilization of generative AI is progressing, many companies face challenges such as "what should AI refer to?", "what information can AI use?", "who updates and approves it?", and "how to maintain answer quality?". AolanaU addresses these challenges not by aiming to introduce a specific AI tool, but by providing support to ensure AI utilization moves beyond PoCs and becomes established in practical operations, through the diagnosis, design, maintenance, and operation of internal corporate contexts.
■ Background
The use of generative AI and AI agents, such as ChatGPT, Claude, Microsoft Copilot, and ServiceNow Now Assist, is rapidly expanding. However, information within enterprises is dispersed across various systems like ServiceNow, Box, SharePoint, Slack, Teams, Notion, Backlog, meeting minutes, FAQs, and inquiry histories, and is not yet in a state where AI can safely utilize it. To enhance the outcomes of AI utilization, not only the performance of AI models but also the quality of the business context AI refers to and its operational design are crucial. Furthermore, in enterprise AI utilization, it is important not only "what to make AI remember" but also "what to prevent AI from continuously referencing." If AI continues to refer to outdated business rules, judgments from finished projects, or knowledge whose scope has changed, it can lead to incorrect answers or flawed decision support. AGP emphasizes not only accumulating business contexts but also managing the freshness of information, accountability, approval status, and application status, to remove outdated or unsuitable information from AI's reference scope, thereby structurally suppressing the risk of incorrect answers and judgment errors.
■ Support provided by AGP
Based on the AGP concept, AolanaU provides the following support:
・Diagnosis of internal corporate context and organization of AI utilization use cases
・Context classification and metadata design
・Design of authorization, approval, and update rules
・Management of information freshness and application status
・Support for integration with existing business systems, including ServiceNow
・Evaluation and improvement of AI answer quality
・Continuous operational support for AI agent utilization
AGP does not replace existing systems. It focuses on leveraging the business systems and information assets that companies are already using and preparing them for safe AI reference.
■ Practice in internal and customer PoCs
AolanaU has been conducting validations regarding the extraction, organization, and utilization of business contexts through internal AI-driven development and PoCs with multiple companies. AGP is an initiative to support the continuous improvement of AI utilization in enterprises, based on the knowledge gained from these practices. A part of the technologies related to AGP is currently under patent application.
■ Future Developments
Based on the AGP concept, AolanaU will first provide context diagnosis for enterprises, AI utilization roadmap formulation, ServiceNow × AI utilization support, and AI agent PoC support. Moving forward, we will develop templates, diagnostic frameworks, and operational support infrastructure for continuous management and improvement of internal corporate contexts. We will also begin accepting consultations regarding AGP context diagnosis.
■ Regarding Patent Application
A patent application is pending for a part of the technologies related to AGP.
Application number: Japanese Patent Application No. 2026-051689
Name of invention: Knowledge management method, program, and information processing device
Comment from Tomoyuki Wagatsuma, Representative Director and President of AolanaU Inc.
The utilization of generative AI and AI agents will significantly influence future corporate competitiveness. However, when trying to integrate AI into actual operations, many companies face challenges such as "what should AI refer to?", "what information can AI use?", and "how to continuously update it?". We believe that the essence of AI utilization is not just tool introduction, but managing internal corporate contexts.