AI Agent | Fast AI Lab

AI will carry out tasks autonomously, and humans will focus on maximizing added value that AI cannot provide.

AI Agents

AI will carry out tasks autonomously, and humans will focus on maximizing added value that AI cannot provide.

"I want to introduce AI, but it seems like it will be difficult to operate..."

"AI Agent" is the answer to such concerns of business managers.

An AI agent is a partner that autonomously perceives, judges, and acts.

We flexibly build dedicated AI to support on-site operations, such as responding to inquiries, forecasting inventory, and supporting decision-making, in accordance with a company's objectives and operations.

We will resolve the labor shortages and inefficiencies that are issues in a wide range of industries, including construction, retail, and manufacturing, and simultaneously achieve business improvement and cost reduction.

AI Agent Visual

Do you have any of these concerns?

  • I want to embark on a new initiative (DX or business expansion), but I'm unsure where to start.

  • We understand the importance of human resource shortages and streamlining operations, but we are constantly being asked for help from the field.

  • Because the IT department is not well-equipped, it is difficult to determine how much to spend on AI implementation.

  • I want to regain my perspective as a top executive. I want to delegate miscellaneous tasks and spend more time focusing on strategic decisions and new developments.

What is an AI Agent?

What are AI agents?

AI will autonomously carry out tasks and give back "truly valuable work" to managers

  • AI Agent is an "autonomous" AI system that utilizes internal data and existing systems to automatically generate and execute required tasks.

  • Instead of the CEO having to give all the instructions, AI will take over routine tasks and make decisions on the ground, ultimately supporting the CEO to make only the "important decisions."

Step 1

Data Formatting

AI acquires internal business data and document information and automatically formats it into an easy-to-use format.

Step 2

Situation analysis

The AI agent analyzes the situation based on the information and automatically identifies the tasks that need to be performed.

Step 3

decision making

Execute the identified tasks and issue instructions to the person in charge. The processing results are automatically reported.

Step 4

Implementation support

Managers can use AI-generated reports to make important decisions and take next steps.

Implementation image and benefits

In particular, by having AI agents support the desk work of white-collar workers, such as administrative professionals, high-class personnel will be able to focus on areas where they can demonstrate their value as people, such as communication.

construction industry

construction industry
Example assignment
  • The site supervisor is overwhelmed with the enormous amount of paperwork and reporting required.

  • On-site progress and trouble reports are subjective, which delays understanding the overall situation.

AI agent introduction image
  • Multiple AI agents work together to provide powerful support for construction management, including an AI agent that executes process planning and management, and an AI agent that creates daily reports through voice dialogue.

  • Supports multiple input formats such as photos, videos, and audio, and minimizes process downtime with weather forecasts and preventive maintenance of equipment and goods.

merit
  • Site supervisors can significantly reduce overtime hours and focus on safety management and quality control, which are their primary focus.

  • This allows for quicker response to problems and rework, leading to shorter overall construction times and improved management quality.

AI
Our Strengths

Features of the "Soku AI Lab" AI Agent

Achieving both quick implementation and flexible expansion. An AI agent that supports top management strategies.

AI Agent Features

Agile development that allows prototyping in as little as two months


No need for extensive requirements definition. Even with limited resources, you can start small and quickly.

merit

  • Reduce investment risk and see results in a short period of time
  • It's easy to share your vision of success within the company

Nested AI agents make it easy to add features later


Small-scale AIs work together, flexibly responding to business expansion and changes

merit

  • Even as a company grows, it can proceed with DX in stages without undergoing large-scale system modifications.

Reinforcement learning UI that grows the more you use it


Even though the AI is still in the learning stage at first, it can be entrusted with tasks little by little.

merit

  • Adjust course based on results and steadily expand AI use
  • By effectively linking the workplace with AI, we can raise the productivity of the entire organization.

Support with an emphasis on business perspective


We not only provide support for IT implementation, but also provide consulting services with an eye on business strategies and profit generation.

merit

  • Custom development tailored to your company → Avoid wasteful IT investments that don't fit your goals
  • Post-implementation support and additional development are also provided on an ongoing basis.
CosBE Price

Pricing

Hayai Lab offers consistent support to maximize business impact with a small-start pricing model.

Fee¥1,500,000 / month

(Includes development, consulting, servers, and all tooling costs · 2-month minimum)


Maintenance & OperationsFrom ¥50,000 / month

(Varies by product usage and number of users)

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 CosBECompany ACompany B
Agile development
Consulting
Servers & tooling
Price¥1.5M / month (2-month minimum)From ¥10M Development onlyFrom ¥15M Setup + development only
AI
Deployment Steps

Implementation process

Our AI agent implementation starts with very simple initial requirements, and we build a working prototype (MVP) in as little as two months.

This short-term prototyping will allow us to quickly gather feedback from the field, and from the third month onwards we will improve the accuracy and usability of the AI and add new functions based on actual operational data.

Ultimately, through these improvements, we will develop a system that can be stably operated across the company, creating an environment in which management can focus on strategic decision-making.

Deployment Flow
AI
Q&A

Frequently Asked Questions

QHow much does it cost to deploy an AI agent?
A

An MVP (minimum functionality initial product) can be developed in 2 months (3 million yen) or more.

QHow much does it cost to operate monthly?
A

If you run it in the CosBE cloud environment, it will cost from 50,000 yen/month (depending on the load).

QHow long will it take to get started?
A

As we will be working in an agile style, implementation will take as little as two months.

QIs it really possible to implement AI even if there are no personnel with AI expertise in-house?
A

No in-house AI expertise is required. Because of our agile approach, AI knowledge is acquired naturally as the project progresses.

QI'm concerned about the security of having AI agents handle my company's confidential data. Is there a risk of data leakage?
A

Depending on your company's security requirements, we will determine the cloud security level and build a local LLM within your company's closed environment.

QHow long will it take to see results after installation?
A

For a minimal product, understanding gradually increases from the third month of use. In cases where development has continued for about six months, the effects are clearly noticeable.

QHow cost-effective can you expect it to be?
A

It depends on the scale of your problem. The more work that is done by humans using paper or computers, the greater the effect can be expected.

We support your business from various aspects Please feel free to consult with us

For consultations on detailed service content and estimates, please use the form.

We respond flexibly according to the situation, so please feel free to contact us first.

Contact about Fast AI Lab