CASE STUDY

Process Improvement & Internal Enablement

A case study on reducing outsourcing costs and manual effort through GAS-based data transfer automation and an AI-assisted drafting workflow.

Overview

Built GAS-based data transfer automation, an in-house newsletter production process and an AI-assisted drafting workflow.

Challenge

The organization needed to reduce manual effort and human error in data transfer and drafting while bringing outsourced production work in-house.

Scope

Implemented data transfer automation with GAS and built a drafting workflow combining Dify, ChatGPT and Canva.

Technologies

Google Apps ScriptDifyChatGPTCanva

Results

Reduced approximately ¥600,000 in annual outsourcing costs while also reducing manual effort and human error.

RELATED SERVICE

Related Service

BPR, Process Improvement & Automation

We begin by visualizing workflows and identifying duplication or knowledge bottlenecks in routine and back-office work. Processes are then redesigned, standardized and automated where appropriate, with implementation support when needed.

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