Transforming Management Proposal Preparation with Generative AI
In recent years, many companies have integrated generative AI into their operations, but there remains a gap in its use for creating management proposal documents—often a complex and specialized task handled directly by executives. This reluctance to fully embrace AI technology has resulted in longer preparation times and increased workloads. Comix, a consultancy based in Shibuya, Tokyo, is addressing this issue by implementing a generative AI advisory service that significantly shortens the proposal creation process.
Background and Challenges
According to the Ministry of Internal Affairs and Communications of Japan, as of the latest report, 86.4% of companies in Japan are utilizing generative AI in some capacity. However, 27% of these companies reported a lack of structured organizational initiatives aimed at leveraging generative AI for business transformation, a number that rises to 45.6% for small and medium enterprises. This suggests that while AI adoption is widespread, many businesses have yet to fundamentally change their operational processes.
One area particularly impacted by this gap is the creation of management documents, typically handled by executives and specialists who often carry the responsibility for accuracy and validation of content. For instance, the process of gathering data, identifying key issues, structuring documents, drafting, and formatting can take a week or more when performed solely by one person. The challenge lies in deciding what tasks can be delegated to AI and which aspects require personal oversight, creating a barrier to efficient usage of AI in document preparation.
At Comix, the focus is not on relying entirely on AI but on utilizing it as a tool to streamline workflows, allowing executives to channel their energy into making informed decisions.
Support Case Overview
One of Comix’s notable success stories involves working with a business where a small business consultant, who is also the owner, develops management proposals for clients. By incorporating Claude Code, a generative AI tool, into their daily operations, the time required to prepare these documents has been dramatically reduced from one week to merely a few hours.
Comix assisted in this transformation by focusing on the following three key areas:
1.
Defining AI-Delegated and Human-Checked Tasks
Comix helped to clearly outline the tasks that AI should handle—such as data collection, structure creation, and drafting—while ensuring that the consultant would verify the validity of arguments, figures, and final expressions. This model enhances efficiency without shifting the accountability of decision-making to AI.
2.
Monthly Updates on Usage
During monthly consultations, Comix shares practical updates about generative AI functionalities directly applicable to the client’s needs. Recently, they introduced features for summarizing information across projects and automating routine tasks through integration with email and document storage systems, always ensuring that technology serves practical business objectives.
3.
Establishing Safe Usage Protocols
To protect sensitive information while using autonomous AI systems, Comix emphasizes the importance of stating