Achieving Business Automation for Hundreds of Yen Per Month — Komix Co., Ltd. Releases Results of Generative AI Utilization Support for SMEs
Komix Co., Ltd. announced successful outcomes from its generative AI utilization support service for small and medium-sized enterprises (SMEs). By combining Google Apps Script (GAS) and Google Gemini API, the service enables low-cost business automation within existing environments, addressing the hurdles SMEs face in AI adoption, such as high investment and lack of expertise.
📋 Article Processing Timeline
- 📰 Published: April 26, 2026 at 19:00
- 🔍 Collected: April 26, 2026 at 10:31
- 🤖 AI Analyzed: April 26, 2026 at 12:08 (1h 36m after Collected)
Small and medium-sized enterprises (SMEs) continue to lag in the full-scale adoption of generative AI due to reasons such as “not knowing where to start” and “difficulty with high system investments.”
Meanwhile, companies are beginning to emerge that are achieving low-cost business automation within their existing environments by combining Google Apps Script (GAS) and Google Gemini API.
Komix Co., Ltd. (Headquarters: Maruyama-cho, Shibuya-ku, Tokyo; Representative Director: Akihiro Suzuki) is pleased to announce that its “Generative AI Utilization Support Service” for SMEs has been promoting implementation support for business automation using GAS x Gemini API, with concrete results emerging from multiple client companies.
■ Background and Challenges
While the business application of generative AI is gaining attention, strong hurdles to adoption persist in the SME sector. According to various surveys, over 30% of large corporations have introduced generative AI, while the adoption rate among SMEs remains around 10-15%. Furthermore, data indicates that only 7.3% of companies have fully implemented generative AI, with many SMEs deferring adoption due to reasons like “difficulty seeing the benefits” and “high introduction costs and operational burden.”
Additionally, it is said that less than 10% of companies with fewer than 300 employees have a dedicated IT department, making the lack of in-house IT personnel a significant barrier.
Our “Generative AI Utilization Support” service addresses these challenges by having dedicated instructors accompany client companies and leveraging the Google Workspace environment, which many companies already use, to achieve business automation with minimal additional system investment.
■ Support Content
1) Case Study 1: Construction Industry — Automating On-site Management by Automatically Reading PDF Process Schedules and Quotations
One construction company automated the manual management of process schedules and quotations using AI.
They built a system to analyze PDF process schedules and quotations with the Gemini API and automatically transfer the data to a process management spreadsheet. The read process data is also automatically reflected in Google Calendar, allowing them to grasp multiple site schedules on one screen.
Even after implementation, functions are continuously updated based on feedback from the field. All these mechanisms are built with GAS and Gemini API, with API usage fees amounting to only a few hundred yen per month.
2) Case Study 2: Residential Construction Industry — From Drawing Analysis to Automatic Generation of Application Documents
One residential construction company automated multiple tasks across its design, construction, and management departments using AI.
They built a system to analyze architectural drawings in PDF format with AI and automatically transfer necessary information for building permit applications to a spreadsheet. What traditionally required manual verification of drawings and manual entry now completes with just a few clicks.
Furthermore, customer information, which was individually managed across nine locations, was automatically consolidated into a single management sheet using GAS. They also achieved automatic synchronization from internal event registration spreadsheets to Google Calendar, making inter-departmental information sharing real-time.
The company is also embarking on company-wide adoption of the latest AI development tool “Claude Code” and utilizing the AI agent “OpenClaw,” moving into a phase of using AI as a “development partner.”
3) Case Study 3: Fully Automating Meeting Minutes Creation
We also use AI to manage our regular Generative AI Utilization Support meetings.
Generative AI automatically transcribes and summarizes Zoom meeting recordings, formatting them as minutes. The created minutes are automatically stored in Google Drive, and even messages for sharing to client company chat tools are sent entirely without human intervention.
The minutes automatically include a summary of proposals made during the meeting and the date/URL of the next meeting, significantly reducing the time spent organizing tasks after meetings.
Click here for free AI utilization consultation
By answering a free diagnostic questionnaire, you can register for an online free consultation.
■ Features and Strengths
Our Generative AI utilization support can achieve business automation at low cost due to the following technical composition:
- Development Platform: Google Apps Script (GAS) — Free to use and directly linkable with various Google Workspace services.
- AI Model: Google Gemini API — Pay-as-you-go, costing only a few yen per PDF analysis. You only pay for what you use.
- Execution Environment: Google Workspace — Many SMEs have already adopted it, eliminating the need for new infrastructure investment.
- Premise of Small Start — AI functions added to existing Google environments.
Meanwhile, companies are beginning to emerge that are achieving low-cost business automation within their existing environments by combining Google Apps Script (GAS) and Google Gemini API.
Komix Co., Ltd. (Headquarters: Maruyama-cho, Shibuya-ku, Tokyo; Representative Director: Akihiro Suzuki) is pleased to announce that its “Generative AI Utilization Support Service” for SMEs has been promoting implementation support for business automation using GAS x Gemini API, with concrete results emerging from multiple client companies.
■ Background and Challenges
While the business application of generative AI is gaining attention, strong hurdles to adoption persist in the SME sector. According to various surveys, over 30% of large corporations have introduced generative AI, while the adoption rate among SMEs remains around 10-15%. Furthermore, data indicates that only 7.3% of companies have fully implemented generative AI, with many SMEs deferring adoption due to reasons like “difficulty seeing the benefits” and “high introduction costs and operational burden.”
Additionally, it is said that less than 10% of companies with fewer than 300 employees have a dedicated IT department, making the lack of in-house IT personnel a significant barrier.
Our “Generative AI Utilization Support” service addresses these challenges by having dedicated instructors accompany client companies and leveraging the Google Workspace environment, which many companies already use, to achieve business automation with minimal additional system investment.
■ Support Content
1) Case Study 1: Construction Industry — Automating On-site Management by Automatically Reading PDF Process Schedules and Quotations
One construction company automated the manual management of process schedules and quotations using AI.
They built a system to analyze PDF process schedules and quotations with the Gemini API and automatically transfer the data to a process management spreadsheet. The read process data is also automatically reflected in Google Calendar, allowing them to grasp multiple site schedules on one screen.
Even after implementation, functions are continuously updated based on feedback from the field. All these mechanisms are built with GAS and Gemini API, with API usage fees amounting to only a few hundred yen per month.
2) Case Study 2: Residential Construction Industry — From Drawing Analysis to Automatic Generation of Application Documents
One residential construction company automated multiple tasks across its design, construction, and management departments using AI.
They built a system to analyze architectural drawings in PDF format with AI and automatically transfer necessary information for building permit applications to a spreadsheet. What traditionally required manual verification of drawings and manual entry now completes with just a few clicks.
Furthermore, customer information, which was individually managed across nine locations, was automatically consolidated into a single management sheet using GAS. They also achieved automatic synchronization from internal event registration spreadsheets to Google Calendar, making inter-departmental information sharing real-time.
The company is also embarking on company-wide adoption of the latest AI development tool “Claude Code” and utilizing the AI agent “OpenClaw,” moving into a phase of using AI as a “development partner.”
3) Case Study 3: Fully Automating Meeting Minutes Creation
We also use AI to manage our regular Generative AI Utilization Support meetings.
Generative AI automatically transcribes and summarizes Zoom meeting recordings, formatting them as minutes. The created minutes are automatically stored in Google Drive, and even messages for sharing to client company chat tools are sent entirely without human intervention.
The minutes automatically include a summary of proposals made during the meeting and the date/URL of the next meeting, significantly reducing the time spent organizing tasks after meetings.
Click here for free AI utilization consultation
By answering a free diagnostic questionnaire, you can register for an online free consultation.
■ Features and Strengths
Our Generative AI utilization support can achieve business automation at low cost due to the following technical composition:
- Development Platform: Google Apps Script (GAS) — Free to use and directly linkable with various Google Workspace services.
- AI Model: Google Gemini API — Pay-as-you-go, costing only a few yen per PDF analysis. You only pay for what you use.
- Execution Environment: Google Workspace — Many SMEs have already adopted it, eliminating the need for new infrastructure investment.
- Premise of Small Start — AI functions added to existing Google environments.