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How to improve work efficiency with AI agents
In recent years, opportunities to hear the terms “generative AI” and “AI agents” have rapidly increased. In this article, we will thoroughly explain how to improve business efficiency using AI agents, from the basics to specific use cases and key points for successful implementation, based on the expertise of Agentools, an AI agent recommendation service. Agentools recommends the optimal AI agent SAAS from 25,000 AI agents around the world. Murata, Agentools’ Japan representative, thoroughly researched 700 popular SAAS when creating the selection AI, and will introduce it to you.
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Introduction: Why is it essential now to improve business efficiency using AI agents?
Nowadays, using AI agents to improve business efficiency is becoming an essential element for the survival of companies. We will look into the background and essence of this trend.
What does "AI Agent improve business efficiency" mean?
Improving business efficiency with AI agents means utilizing a system in which AI does not simply answer questions, but autonomously plans, executes, and supports the achievement of goals. This frees humans from repetitive tasks, allowing them to focus on more creative tasks. This is the essence of AI. In this way, it is transforming the business process itself.
AI Agent SAAS is changing the frontier of efficiency
AI agents will take business process efficiency to a new level. After going from traditional manual work to computer automation, “optimization” using AI has begun. AI can support complex tasks such as content creation and analysis support for SNS management through mass data analysis and autonomous judgment and action. This is decisive in the case of agents, and brings about a qualitative improvement in work.
The introduction of AI is essential to stay ahead of the competition.
In modern business, the introduction of AI is not just a means to improve efficiency, but a must-have for maintaining a competitive advantage. As more and more companies use AI to achieve rapid decision-making and advanced customer experiences, delaying its introduction could mean a disadvantage in the market. Now that the barriers to introduction have been lowered, it can be said that we are in an era where a company’s competitiveness depends on “how it is utilized.”
Mechanism and potential of AI agents - Technology that supports business efficiency
Let’s take a look at the background and effects of how AI agents can improve business efficiency.
What is an AI agent?
Unlike conventional generative AI, AI agents are characterized by their proactive behavior, not just passive responses. To achieve set goals, they make plans on their own, collect and analyze information, and execute tasks by linking multiple tools. For example, they autonomously proceed through a series of processes such as “planning next month’s SNS campaign and registering tasks.” This proactive action is currently attracting attention in the world of AI.
Quantitative effects:
The introduction of AI is expected to bring measurable benefits. In terms of costs, labor costs can be reduced by automating repetitive tasks, and correction costs can be reduced by reducing errors. In terms of productivity, AI’s 24-hour operation and high-speed processing allow employees to shift to higher-value-added tasks. There have been reports of thousands of work hours being reduced per month by the introduction of Microsoft Copilot. It also supports objective decision-making based on data.
Difference from conventional AI tools - "Autonomy" is the key
The biggest difference between AI agents and conventional tools is “autonomy.” Conventional AI basically operates under instructions from humans, but AI agents break down, plan, and execute tasks on their own to achieve abstract goals. They have also been developed with the ability to assess the situation and revise plans when problems occur in order to achieve their goals. This opens up new possibilities for AI agents to act as partners to humans and assist with complex tasks.
Examples of business efficiency improvement by using AI agents by department
Let’s look at some specific examples of how AI agents are used. There are a wide variety of AI agent SAAS, but there are tools that strengthen your company and tools that protect it. Strengthening tools are tools that can be used and incorporated into your company’s services to further improve the level of your service. For example, customer service SAAS is one such example. Protecting tools are those that do not directly affect whether you win or lose against your competitors even if you do not use them, but they cannot reduce costs or the burden on workers, and may weaken the entire company in comparison to its competitors. For example, human resources-related tools are one such example. I would like you to look at the reference cases with this perspective in mind.
Sales & Acquisition: Accelerate lead generation to closing
In the sales department, AI agents are supporting and automating new customer development. In addition to automatically identifying promising leads (e.g. Apollo.io , Persana AI) and generating personalized emails, automated new customer development using digital humans is also now available. By turning work into agents, sales representatives can focus more on building customer relationships. Example: Artisan (digital humans automatically develop new customers)
Customer service: Achieve both customer satisfaction and response efficiency
In customer service, AI agents improve customer satisfaction and efficiency. AI chatbots (e.g. Zoho Zia) are available 24 hours a day and escalate to humans when necessary. Intelligent routing to the most suitable agent is also realized based on inquiry content and sentiment analysis. This improves response speed and quality while reducing costs. Example: intercom (customer support chatbot)
Back office (HR, finance, accounting): Freedom from routine tasks
It creates strategic value in the back office. It is widely used in human resources for recruitment support and payroll automation (e.g. Deel, SmartHR), and in financial accounting for invoice processing and expense settlement automation (e.g. Rakuraku Settlement). It is thought to free people from routine tasks and encourage a shift to higher value-added analysis and proposal work. Example: Sian (AI interview)
Marketing: Data-driven optimization and automation
The use of AI agents in marketing and social media operations is promising. Expectations are high for them to help generate content such as SNS posts and blog article drafts, analyze campaign results in real time and suggest improvements, and optimize ad targeting. Enhanced personalization through customer data analysis and trend analysis will also increase operational efficiency and effectiveness. Example: Jasper (AI writing tool)
Project management, IT operations, etc.: New efficiency frontiers
The application of AI agents is expanding in a wide range of specialized fields, sometimes in IT-related fields. First of all, Cursor and other AI agents are widely used to support individual developers. In project management, they reduce the administrative burden by automatically assigning tasks and identifying risks early (e.g., monday.com AI). Example: replit.ai (coding agency/assistance)
Key points for successful implementation of AI agents
We will explain the key concepts and specific steps to successfully introduce AI agents.
"Try it out and see if it fits" - A new approach to choosing an AI agent SaaS
When selecting an AI agent SaaS, the shortcut is to “try it out first.” When preparing for implementation, if you define detailed requirements as in the past, it takes time. However, with SaaS, you can try it out in just a few days. By actually getting your hands on it, you can see what the tool can do and how it can be adjusted to your company’s operations. This practical approach is the true value of AI agent SAAS. We will introduce its benefits and a completely new way of thinking about implementation.
The essence of AI agents (SaaS) is "fast, cheap, and good."
AI agent SaaS is effective because of three advantages: it is fast, cheap, and good. [Fast] It is extremely quick to install and start using, taking only a few minutes to a few hours. [Cheap] It is low cost compared to in-house development, and many are available for just a few thousand yen per month. [Good] Many tools are used by users around the world, and therefore many of them are suitable for practical use, which is also an attractive point. Another attractive point is that it can be flexibly changed and migrated.
"Try and discover" AI agent SaaS
The advantage of AI agent SaaS is the ease of “trying it first.” Many have free trials and are easy to implement. By actually using it, you can see specific requests and areas for improvement. If it doesn’t suit you, you can just switch to another SaaS. By repeating this “try it, if it doesn’t work, move on to the next one” process, you will be able to find a tool that truly suits your company in a short period of time without the hassle of development.
What Agentools can help you with
However, choosing the best AI agent from the vast number of options (over 25,000 as of April 2025) can be a difficult task. At Agentools, we use our expertise in analyzing over 25,000 AI agents to recommend the best AI Agent SAAS for our customers free of charge. We also provide individual implementation support, although this is subject to a fee. Although it is easy, many people have no idea what to do at first. We provide support for those people.
If you are considering using our service, please visit the following website ( https://agentools.io/page-a-real/ )
[2025 Latest] Introduction of noteworthy AI agent SaaS
Here we will introduce some of the representative AI agents and AI-utilizing SaaS that Agentools is paying attention to both in Japan and overseas. (Information current as of April 2025)
AI platforms that are attracting attention globally
Multi-functional and specialized AI solutions are appearing in the global market. Numerous AI agent SAAS are being launched every day in various fields, such as Zoho (Zia) , an integrated business suite , Deel , which specializes in global HR, Persana AI , which supports sales, thoughtly, an AI phone, and Artisan, which is called a digital employer, and are gaining users.
AI-based SaaS with a proven track record in the Japanese market
In the Japanese market, SaaS that are compatible with domestic business practices and legal systems are promoting the use of AI. SmartHR for human resources and labor management, Rakuraku Settlement for expense settlement (AI-OCR + AI input assistance plan), and others have a high market share in their respective fields and contribute to improving business efficiency. These are characterized by functions that are in line with Japanese business practices.
Summary: AI agents will unlock the future of work
AI agents have the potential to dramatically change the way we work. To successfully introduce them, it is important to take a practical approach to find the best tools, while clearly identifying the issues and taking advantage of the “try it first” advantage of SaaS. Selecting the best tools is the first step to achieving the work style of the future, and Agentools will fully support that process.
Take the next step - Agentools Free Consultation
If you have any concerns such as “I don’t know which AI agent is suitable for my company” or “I want to consult about implementation”, please contact Agentools. We will support you in choosing the best AI agent for your situation. Please visit the following website or feel free to contact us.
Agentools official website:https://agentools.io/page-a-real
Author information
About Agentools
Agentools is a service that recommends AI solutions that contribute to solving customer problems, with the mission of “providing the best AI agents for everyone.” It is jointly operated by Growth LLC and DevnagriAI, a leading Indian AI company (awarded the 2024 Graham Bell Prize and Tie50, among others). It provides reliable information with world-class technical capabilities and meticulous research.
Murata Dai, CEO of Agentools Japan
Representative of Agentools Japan. Involved in the analysis of more than 25,000 AI agents in the world, he is passionate about supporting business transformation through technology. He aims to pursue the potential of AI agents and bring that knowledge back to the Japanese business scene. He hopes that this article will be of help to you.