Co-hosted WEB Seminar with homula Inc.: "Transforming Decision-Making in the Age of AI Agents - The Forefront of the 'Decision-Making OS' and 'MCP Solutions' for Data-Driven Human Capital"

Delivery Consulting Inc. (Head Office: Minato-ku, Tokyo; Director & CEO: Hidejiro Naito), which supports transformation into data-driven companies through the improvement of data literacy, will hold a WEB seminar in co-hosting with homula Inc. (Head Office: Minato-ku, Tokyo; Representative Director: Shun Fukuchi), which handles support for the introduction of AI agents for enterprises.

Theme

Transforming Decision-Making in the Age of AI Agents — The Forefront of the 'Decision-Making OS' and 'MCP Solutions' for Data-Driven Human Capital

Participation Registration

https://service.deliv.co.jp/seminor/20260715

Seminar Overview

Many companies are advancing DX and AI investments, but two fundamental issues are becoming apparent in the field. The first is the lack of a "Decision-Making OS." Because the foundation for decision-making, such as priority of premises and achievement standards, is not designed, judgments are swayed by intuition and emotion, and stagnation is often observed in operations. While technology has reduced workload, it can paradoxically make "judgment" more burdensome. The second is "information silos and increased costs." In situations where numerous SaaS and data are scattered, API development costs for integration with AI, vendor lock-in, and security/governance issues hinder AI utilization. These are not merely technical barriers but stem from a lack of organizational design and data utilization design.

This seminar will explain Delivery Consulting's "Decision-Making OS" and homula's "AI Agent Implementation." By placing data utilization at the core of decision-making design and combining it with the automation and advancement of practical operations using AI agents, we will enhance the decentralization and transparency of decision-making, significantly improving operational execution capabilities.

From Delivery Consulting, we will delve into the structural issues that tend to bias decision-making within organizations. We will clarify the mechanism by which the lack of a Decision-Making OS causes delays in operations and present practical methods for identifying OS bugs hidden within the five elements: premises, standards, authority, information, and learning. The approach is to start with specific business processes (such as hiring decisions and promotion meetings) rather than attempting to change the entire company's culture at once. We will explain a roadmap for fostering data literacy and improving the decision-making capabilities of the entire organization.

From homula, we will explain the latest best practices and governance methods for AI agent implementation.

Dramatic Improvement in LLM Capabilities

Many companies underestimate LLMs as mere "text generation tools." However, current LLMs are operating at a practical level in areas once considered "impossible for AI," such as reading and verifying invoices including handwritten text, processing operations across multiple SaaS, and providing instant responses via voice. At the beginning of the seminar, you will experience "the current state of LLMs" through real-world examples.

Advancement of Execution Platforms: The Foundation for Unleashing LLM Capabilities

To maximize LLM capabilities, the design of the "execution platform" is crucial, in addition to model selection. Context bloat, instability in natural language orchestration, and the absence of authority and audit trails are structural reasons why PoCs fail to lead to production. With design shifts such as "Tool Search," "code-based execution," and "Stateful Runtime," and the rise of standard protocols like MCP and Agent Skills, scalable architectures are becoming realistic options.

Governance: Design Principles for Embedding AI in Organizations

Which tasks should be delegated to AI, and where should humans approve? How can confidential information be prevented from being sent externally? How can it be recorded who instructed what to the AI? These are issues of business design, not technology. When governance is added as an afterthought, you encounter obstacles from the IT department—incorporating approval boundaries and audit design from the outset is the only way to transform AI from a "working demo" into a "reproducible operational foundation."

Event Details

Date and Time

July 15, 2026 (Wed) 11:00 - 12:00 (Recorded distribution)

Participation Fee

Free

Capacity

100 people

Venue

Online (ZOOM)

Speaker Profiles

Shun Fukuchi, Representative Director, homula Inc. An AI integrator leading AI agent development in Japan, providing agile business automation using n8n/Dify, advanced AI agent construction utilizing LangGraph/MCP, and AI data infrastructure setup with Modern Data Stack for enterprise companies. With strategic technology selection and implementation capabilities, we provide comprehensive support from planning and PoC of AI agents to production operation and in-house development.

Masaki Takahashi, COO, Delivery Consulting Inc. After completing his Master's degree at the Graduate School of Science and Engineering, Tokyo Institute of Technology, he joined Andersen Consulting (now Accenture), where he engaged in technology and strategy consulting. He oversaw data analysis consulting and business development at SAS Institute Japan and EY Advisory before joining our company in 2017 and becoming a director in 2020. Assumed his current position in August 2022. Supervised the book "Struggling with Data Literacy," released in November 2024.

For details and important notes, please check the participation registration page above.

About Delivery Consulting Inc.

Delivery Consulting is a technology consulting firm that realizes transformation into data-driven companies through dual support: measuring, diagnosing, and improving corporate data literacy, and DX consulting in collaboration with tech partners. Since its establishment in 2003, based on its deep knowledge of technology, the company has expanded its services from system development to IT consulting, earning high trust from customers and establishing multiple domestic and international bases to expand its business. In 2016, it changed its trade name as an independent technology consulting company. In 2021, it was listed on the Tokyo Stock Exchange Mothers Market (now Growth Market), aiming for further business growth.

Website https://www.deliv.co.jp/

Service Site https://service.deliv.co.jp/