ARCH Announces Plans to Offer Enterprise AI Agent Execution Environment 'Mr.Morph for Enterprise'

ARCH Inc. has announced its plan to offer 'Mr.Morph for Enterprise', an execution environment for enterprise AI agents. This environment integrates connections with existing business systems, permission management, approval, auditing, and usage logging, enabling companies to deploy AI agents into their operations while managing risk.
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  • 📰 Published: June 3, 2026 at 22:21
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ARCH Inc. (Headquarters: Chiyoda-ku, Tokyo; Chairman and CEO: Yonglong Wei; hereinafter 'ARCH') has announced its plan to offer 'Mr.Morph for Enterprise', an execution environment for connecting AI Agents to existing business systems.

Mr.Morph for Enterprise is designed with separate components for Agent execution, model connection, permission management, approval, auditing, and usage logging, providing a configuration that allows companies to introduce AI Agents into their operations while managing risk. In conjunction with this announcement, ARCH is accepting consultations regarding the introduction of enterprise AI Agent execution environments.

Key Points of this Announcement

ARCH has announced its plan to offer 'Mr.Morph for Enterprise', an enterprise AI Agent execution environment.

The implementation is envisioned to include connections with existing business systems, permission management, approval, auditing, and model usage logging.

In conjunction with this announcement, ARCH is accepting consultations regarding the introduction of enterprise AI Agent execution environments.

Background

The use of generative AI is expanding beyond text generation and internal search to ongoing tasks such as information verification, inquiry classification, report creation, pre-publication review, and data updates.

However, to connect AI Agents to business operations within a company, simply providing a high-performance model or chat interface is insufficient. It is necessary to record which data can be referenced, which operations can be executed, who approved them, which model was used, and how much cost was incurred.

ARCH believes it is crucial to design AI Agents not as standalone chat interfaces, but as execution environments that operate within a company's business workflows. Based on this philosophy, ARCH is developing an environment that separates Agent execution, model connection, communication, permissions, approval, and auditing, allowing companies to connect AI Agents to their operations while managing risk.

ARCH's Enterprise AI Agent Configuration

Mr.Morph for Enterprise

Mr.Morph for Enterprise is an enterprise execution environment that allows companies to run AI Agents within their own business systems, data, permission management, and network environments.

Based on the Mr.Morph Agent execution core, it provides a configuration that connects to LLM providers managed by the company, internal systems, APIs, and various data sources, allowing the design of reference permissions, execution permissions, approval workflows, and audit logs for each business task.

Morph Router

Morph Router is a model connection layer for handling multiple LLM providers and OpenAI-compatible endpoints. It manages model switching based on task content, records usage volume and costs, rate limits, and fallbacks, enabling companies to operate AI Agents while monitoring model usage.

Aqua

Aqua is communication software for AI Agents. It provides a mechanism for handling messages between Agents, or between Agents and external systems.

For enterprise use, it combines communication paths between Agents, contact management, relays, end-to-end encryption (E2EE), and webhook integrations, intended for application in business workflows involving multiple Agents or external systems.

Target Companies

This configuration targets companies that wish to introduce AI Agents into tasks involving multiple information sources and approval workflows, such as internal documents, business systems, inquiry management, pre-publication review, and periodic reports.

It is particularly envisioned for use in companies that prioritize permission management, operation history, approval records, model usage records, and cost management when using AI Agents.

Intended Use Cases

Information source verification and fact-checking

Primary classification of inquiries, emails, and tickets

Review of internal documents or pre-publication materials

Creation of periodic reports

Verification of updates to websites, public materials, and business data

Structured data input and updates to existing systems

For these tasks, the configuration is designed to record referenced information, generated content, executed operations, approvers, models used, execution date/time, and costs, allowing for later verification of the decision-making process and execution results.

Consultation on Introduction

ARCH is accepting consultations regarding the introduction of enterprise AI Agent execution environments.

During consultations, ARCH will confirm the target tasks, information sources to be used, existing systems to be connected, LLM providers to be used, permission management, approval workflows, and methods for maintaining audit records, and will consider the scope of introduction based on each company's situation.

In the initial phase, ARCH envisions introduction starting with tasks where judgment criteria are easy to define and risks are easy to manage, such as information verification, inquiry classification, pre-publication review, and periodic report creation.

Why ARCH is Pursuing This

ARCH has been advancing technological development to connect generative AI to actual business operations and information distribution through the development of AI Agents, enterprise AI systems, and digital publishing services.

In tasks such as text generation, information verification, pre-publication review, distribution, and inquiry response, it is important to manage not only the AI's output itself, but also the referenced information, decision-making process, approvals, and execution history.

ARCH believes that for companies to effectively utilize AI Agents, an execution environment that includes connections to existing systems, permission design, approval, auditing, and operational records is necessary, in addition to model performance, and is proceeding with productization in this area.

Future Plans

While accepting consultations on introduction, ARCH will sequentially release the following information:

Detailed page for Mr.Morph for Enterprise

Pre-introduction checklist for enterprise AI Agents

Technical documentation on model connection and usage logging for Morph Router

Technical documentation on Agent communication configuration for Aqua

Executive Comment

Comment from Yonglong Wei, Chairman and CEO of ARCH Inc.:

"To use AI Agents in a company, simply being able to converse is not enough. AI Agents need to operate within a company's business workflows, not just as a chat interface. This requires an execution environment that includes system connections, permissions, data boundaries, approval, and auditing. ARCH will continue to develop, as a product, the execution environment needed to connect AI Agents to actual business operations."

Related Links

ARCH Official Website: https://archkumo.com

Mr.Morph for Enterprise: https://archkumo.com/platforms/morph-enterprise

Consultation on Introduction: https://archkumo.com/contact

Company Overview

Company Name: ARCH Inc.

Representative: Chairman and CEO Yonglong Wei

FAQ

What are the main features of Mr.Morph for Enterprise?

It provides an environment designed with separate components for agent execution, model connection, permission management, approval, auditing, and usage logging, enabling risk-managed AI agent deployment.

What is Morph Router?

It is a model connection layer for handling multiple LLM providers and OpenAI-compatible endpoints, managing model switching, cost logging, and rate limits.

What is the role of Aqua?

It is software for managing message communication between AI agents or between agents and external systems, supporting E2EE and webhook integrations.