[kintone×AI] Plugin Update: Automatic Field Placement in PDF Forms, Natural Language Data Operations like 'Extract Kanto Companies', and More
Mzas Co., Ltd. has released new generative AI-powered features for its kintone plugin series. These updates enable automatic field placement in PDF forms, natural language data operations, and AI-driven log analysis, aiming to reduce kintone investigation and operation man-hours by up to 90%, thereby improving workplace productivity and strengthening corporate governance.
📋 Article Processing Timeline
- 📰 Published: May 12, 2026 at 16:00
- 🔍 Collected: May 12, 2026 at 07:31
- 🤖 AI Analyzed: May 12, 2026 at 07:43 (11 min after Collected)
Mzas Co., Ltd. (Headquarters: Osaka, Osaka Prefecture), aiming for innovation in its four main plugin products, will sequentially release new features utilizing generative AI within its kintone plugin product series.
With this upgrade, generative AI will precisely assist with 'fine-tuning fields in form settings,' which was previously done manually by on-site staff, and 'data searching with multiple conditions,' which was cumbersome with standard functions.
Furthermore, generative AI will automate and visualize tasks requiring specialized knowledge, such as 'black-boxing of JavaScript' in information system management and 'checking vast operation logs.' As a result, business man-hours for kintone investigation and operation will be reduced by up to 90%, achieving both improved on-site productivity and strengthened corporate governance.
Mzas will continue to solve these challenges with these new features and provide a better working environment.
Background: Challenges for 'On-site Staff' and 'Administrators' with the Expansion of kintone Usage
While the adoption of kintone as a business application platform is progressing, the expansion of kintone usage has brought to light the following operational challenges:
● Challenges for On-site Staff (Input/Output Effort)
Increased daily workload, such as 'taking too much time to configure field placement for form output' and 'troublesome setting of search conditions every time for data search.'
● Challenges for Administrators (Dependence on Individuals / Black-boxing)
Increased management tasks requiring advanced knowledge and time, such as 'not knowing the scope of impact of JavaScript customizations written by predecessors' and 'overwhelming log review for internal controls and audit compliance.'
To solve these challenges, Mzas has implemented an upgrade to its four main plugins, incorporating generative AI functions.
Main New Features with AI Integration and Dramatically Changed Operational Examples
[EM Report]
Liberation from the endless loop of 'fixing millimeter-level misalignments.'
Generative AI function automatically generates form layouts.
'EM Report,' which outputs kintone records as high-quality PDF/Excel forms, has been equipped with a PDF auto-analysis function powered by generative AI.
● Previous Challenges
It was necessary to place kintone fields one by one according to the PDF background and repeatedly fine-tune them while checking previews.
● Upgraded Function with Generative AI (Operational Example)
By reading your existing invoice or delivery note PDFs, the AI analyzes 'lines, frames, and text.' It identifies 'this is the company name' and 'this is the amount,' automatically and precisely mapping kintone output fields. This shortens the conventional 30-minute new form setup task to approximately 3 minutes.
● Developer Comment
'It's convenient once set up, but the initial setup is troublesome, leading to it not being used.' When I learned of this pressing reality, I strongly felt that as a developer, I had to do something. No matter how high-performing a function is, it's meaningless if it's not used. To make form output more accessible, we focused on thoroughly lowering the initial setup hurdle and creating a mechanism that anyone can immediately experience.
[EMsheet]
'Extract Kanto companies' – data extraction and bulk operations by simply speaking.
'EMsheet,' which provides an Excel-like list screen, has been equipped with a language-responsive chat assist function.
● Previous Challenges
With standard functions, it was cumbersome to click and set multiple search conditions (e.g., '=', 'contains') each time.
● Upgraded Function with Generative AI (Operational Example)
By simply typing in the chat field with everyday language, such as 'Show me a list of companies in Kanto that received orders last month' or 'Filter only unaddressed cases from more than six months ago,' the generative AI function understands the intent and instantly extracts data.
Since bulk updates can be performed directly in a spreadsheet format, on-site data operations become overwhelmingly faster.
● Developer Comment
We felt challenged by tasks that take a long time with standard functions alone, such as complex condition filtering and updating large amounts of data. Since users are already using kintone and EMsheet, we wanted to eliminate the stress of switching between screens like Excel or CSV. We developed this to achieve a smooth and comfortable operating experience within kintone.
[EM Log]
Uncovering suspicious operations. 'Conversational Log Analysis AI Function' to calm IT system administrators' anxiety.
'EM Log,' which records detailed operation logs not obtainable with kintone's standard functions, has been equipped with an AI log analysis assistant function.
● Previous Challenges
Manually searching for suspicious movements from vast CSV logs was a time-consuming and difficult task.
● Generative AI Function
With this upgrade, generative AI will precisely assist with 'fine-tuning fields in form settings,' which was previously done manually by on-site staff, and 'data searching with multiple conditions,' which was cumbersome with standard functions.
Furthermore, generative AI will automate and visualize tasks requiring specialized knowledge, such as 'black-boxing of JavaScript' in information system management and 'checking vast operation logs.' As a result, business man-hours for kintone investigation and operation will be reduced by up to 90%, achieving both improved on-site productivity and strengthened corporate governance.
Mzas will continue to solve these challenges with these new features and provide a better working environment.
Background: Challenges for 'On-site Staff' and 'Administrators' with the Expansion of kintone Usage
While the adoption of kintone as a business application platform is progressing, the expansion of kintone usage has brought to light the following operational challenges:
● Challenges for On-site Staff (Input/Output Effort)
Increased daily workload, such as 'taking too much time to configure field placement for form output' and 'troublesome setting of search conditions every time for data search.'
● Challenges for Administrators (Dependence on Individuals / Black-boxing)
Increased management tasks requiring advanced knowledge and time, such as 'not knowing the scope of impact of JavaScript customizations written by predecessors' and 'overwhelming log review for internal controls and audit compliance.'
To solve these challenges, Mzas has implemented an upgrade to its four main plugins, incorporating generative AI functions.
Main New Features with AI Integration and Dramatically Changed Operational Examples
[EM Report]
Liberation from the endless loop of 'fixing millimeter-level misalignments.'
Generative AI function automatically generates form layouts.
'EM Report,' which outputs kintone records as high-quality PDF/Excel forms, has been equipped with a PDF auto-analysis function powered by generative AI.
● Previous Challenges
It was necessary to place kintone fields one by one according to the PDF background and repeatedly fine-tune them while checking previews.
● Upgraded Function with Generative AI (Operational Example)
By reading your existing invoice or delivery note PDFs, the AI analyzes 'lines, frames, and text.' It identifies 'this is the company name' and 'this is the amount,' automatically and precisely mapping kintone output fields. This shortens the conventional 30-minute new form setup task to approximately 3 minutes.
● Developer Comment
'It's convenient once set up, but the initial setup is troublesome, leading to it not being used.' When I learned of this pressing reality, I strongly felt that as a developer, I had to do something. No matter how high-performing a function is, it's meaningless if it's not used. To make form output more accessible, we focused on thoroughly lowering the initial setup hurdle and creating a mechanism that anyone can immediately experience.
[EMsheet]
'Extract Kanto companies' – data extraction and bulk operations by simply speaking.
'EMsheet,' which provides an Excel-like list screen, has been equipped with a language-responsive chat assist function.
● Previous Challenges
With standard functions, it was cumbersome to click and set multiple search conditions (e.g., '=', 'contains') each time.
● Upgraded Function with Generative AI (Operational Example)
By simply typing in the chat field with everyday language, such as 'Show me a list of companies in Kanto that received orders last month' or 'Filter only unaddressed cases from more than six months ago,' the generative AI function understands the intent and instantly extracts data.
Since bulk updates can be performed directly in a spreadsheet format, on-site data operations become overwhelmingly faster.
● Developer Comment
We felt challenged by tasks that take a long time with standard functions alone, such as complex condition filtering and updating large amounts of data. Since users are already using kintone and EMsheet, we wanted to eliminate the stress of switching between screens like Excel or CSV. We developed this to achieve a smooth and comfortable operating experience within kintone.
[EM Log]
Uncovering suspicious operations. 'Conversational Log Analysis AI Function' to calm IT system administrators' anxiety.
'EM Log,' which records detailed operation logs not obtainable with kintone's standard functions, has been equipped with an AI log analysis assistant function.
● Previous Challenges
Manually searching for suspicious movements from vast CSV logs was a time-consuming and difficult task.
● Generative AI Function