With the recent labor shortage in Japan, many businesses have encountered challenges with securing sufficient staff. To address these issues—and also improve operational efficiency and customer experiences—many businesses are now interested in AI app development.

To develop an AI app, it is important to understand how to prepare and where to begin.
In this article, we explain key considerations of AI app development in Japan, including the basic development process, main development methods, necessary skills, and cost estimates.

Key takeaways

• When developing an AI app, businesses can use AI models and AI application programming interfaces (APIs) to implement features that support business operations, enable data analysis, and enhance customer experiences.
  
• Businesses can develop AI apps using low-code and no-code tools, AI APIs, frameworks, and pretrained models, allowing them to develop simple AI apps without specialized development experience.
  
• It’s important to select AI features that suit the app’s purpose, organize data, run tests, improve accuracy, and make improvements after launch.
  
• When offering or selling AI apps in Japan, it’s important to consider issues such as personal information protection, copyright, and Japan’s Act on Specified Commercial Transactions.
  
• The costs of developing an AI app vary depending on its scale and features. They can range from approximately ¥500,000–¥5,000,000 for a simple app, while a large-scale AI system can cost tens of millions of yen or more.
  

What is AI app development?

AI app development is the process of building applications that incorporate machine learning (ML) and AI models. AI app development is now extremely diverse and has been widely adopted in a variety of fields, including fraud detection, risk analysis, demand forecasting, personalization, and AI agents.

Unlike traditional apps that operate based on predefined logic, AI apps use AI models and application programming interfaces (APIs) to deliver advanced functions, such as prediction, analysis, and natural language processing (NLP). Therefore, during the development process, it is important to incorporate a data design that produces accurate results and provides ongoing improvements after launch.

With the growing availability of no-code tools and APIs that use AI functionality, individuals can develop AI apps. With the widespread adoption of AI search and chat user interfaces (UIs), there is also a growing emphasis on content design and usability that considers AI optimization (AIO).

Main methods for AI app development

Although “AI app development” is a broad term, there are various approaches to building AI apps. The required skills, costs, and levels of flexibility vary depending on the development method.

No-code and low-code tools

With no-code and low-code tools, you can develop an AI app with limited programming knowledge. Many of these tools allow developers to intuitively build screens and features using drag-and-drop interfaces. You can use these tools to develop prototypes and small-scale AI apps.

APIs

By using AI APIs—such as the Gemini API and OpenAI API—you can integrate a variety of AI features into your app, including fraud detection, data analysis, and AI agent functionality. Another advantage is quick and easy development because APIs use existing AI services.

AI frameworks and libraries

You can build and train AI models using AI frameworks and libraries, such as TensorFlow, PyTorch, and MXNet. While this method offers a high degree of flexibility, it also requires knowledge of programming and ML.

Existing AI models

By using pretrained AI models and automated machine learning (AutoML), you can implement AI features without developing AI models from scratch. For example, you can adapt existing AI models for your business’s specific needs by using transfer learning. The advantage of this method is that you can develop an AI app with low development time and costs.

Basic steps in AI app development

The most important steps when developing an AI app include selecting the AI features that suit your needs, designing data structures, and evaluating accuracy. However, with the recent popularity of no-code tools and AI APIs, it has become easier to develop AI apps without specialized development experience. Below, we discuss the basic process of AI app development.

Determine the app’s purpose and development method

The AI technology required varies depending on the features you want to implement. Clarify what you want to achieve with your AI app.

You can create some apps using no-code tools or AI APIs. Others require AI frameworks or custom models. Consider the features you want to implement, the scope of development, and your skill level, and choose the development method that suits you best.

Develop and test on a small scale

When developing an AI app, it’s best to start small to keep both development costs and risks low. Rather than implementing every feature from the beginning, introduce AI in a limited scope, such as specific features or certain operations. This can make it easier to make improvements.

Gather data

The quality of the data fed into the AI is important. Since biases and preconceptions in the data can affect AI predictions, it’s important to ensure that the data is not skewed toward particular information.

It’s also important to exclude unnecessary data when gathering information based on the intended purpose of the AI app. Unnecessary data can include customer data, product data, and inquiry histories. Organize the data into a format that is easy for AI to learn from and analyze.

In addition, make sure to design rules for prompt generation and responses to improve the AI’s accuracy.

Conduct tests and improve accuracy

It is important to operate AI apps and repeatedly test and improve them after the development stage. Review the AI’s responses and predictions to verify that answers and outputs are correct and natural.

In addition, review prompts and data, and fine-tune the AI model based on usage patterns. Sometimes, AI can generate incorrect information that sounds natural. Be sure to run regular checks.

Required skills and knowledge for AI app development

When developing an AI app, knowledge of programming and AI can ease the process. However, the skill level required varies depending on the development method. Deciding which method to use based on your business objectives is the best approach.

Programming

When developing an AI app, knowledge of programming is helpful for implementing AI features and integrating APIs.

Python has become the main language used in AI development because it is simple to write and offers a wealth of AI-geared libraries. Knowledge of JavaScript and other languages will also make it easier to develop a UI.

When making use of external AI services, you also need to have knowledge of API integration, as well as knowledge of databases to manage data.

AI and ML

A basic understanding of AI models and ML is helpful for developing an AI app.

For example, the answers and predictions provided by AI vary depending on the data fed into it. Therefore, it is important to consider how to organize the data and improve its accuracy. When using generative AI, you also need to know how to create prompts that provide the AI with appropriate instructions.

Key considerations for AI app development

It is important to keep the following points in mind when developing an AI app:

• False information
  AI models and trained data can contain incorrect or outdated information, which could lead to the AI providing inaccurate answers.
  
• Personal information and security
  When handling customer information and internal data, privacy protection and security measures are important.
  
• Copyright and terms of use
  When using existing text and image data, you must also be mindful of copyright laws and the service’s terms of use.
  
• Required information according to Japan’s Act on Specified Commercial Transactions
  If you sell paid apps to Japanese customers or offer in-app purchases, you are also required to display certain information, such as your business’s name, phone number, and address. This is in accordance with Japan’s Act on Specified Commercial Transactions. When offering AI apps in Japan, you also need to comply with various other laws and regulations that are applicable in Japan, including the Payment Services Act.
  
• API usage fees
  It’s important to note that many AI APIs are offered on a pay-as-you-go basis. Therefore, operating costs can increase depending on usage.
  

Estimated time and costs for AI app development

The time and costs of developing an AI app vary significantly. They depend on the development method and implemented features.

The time frames and costs outlined here are estimates for developing AI apps in Japan. They can vary significantly depending on implemented AI features, integration with external systems, volume of data, security requirements, and other factors.

FAQs

In this section, we answer some frequently asked questions about AI app development in Japan.

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