What We Do / GenAI for Productivity
GenAI for Productivity
Overview
This software leverages proprietary generative AI (GenAI, AI) technology to automate tasks with high precision, which has traditionally been challenging. It allows the development of AI solutions optimized not only for general tasks but also for specific operations, enabling short-term, low-cost construction and quantitative measurement of business improvement effects.
Roadmap
From Day 1
We can guide customers who are using generative AI for the first time through our services.
We believe that improving operational efficiency with generative AI involves several steps. First, it is essential for organizations to understand both the benefits and risks of generative AI. Additionally, by raising the literacy of all employees regarding AI and generative AI, we believe that a bottom-up approach to digital transformation (DX) with AI will progress. At the beginning, it may be challenging to feel the impact of operational improvements through generative AI. However, by following the steps carefully, the results should eventually be reflected in the profit and loss (P&L) statement.
The roadmap below outlines the steps any organization can take to introduce generative AI and enhance productivity. It is also possible to start directly with tasks at “Level 3” or “Level 4.”
Human Capital
Currently, generative AI serves as a supporting tool in business, but without skilled personnel to utilize it effectively, it will simply result in “just implementing a generative AI tool.”
Our company offers lectures designed to help participants develop a thorough understanding of generative AI from the ground up.
Data Structuring
RAG (Retrieval-Augmented Generation) has attracted interest from many business representatives as an entry point for improving productivity with generative AI. However, simply loading PDFs into generative AI may not always result in effective information extraction.
The reason lies in the fact that the information in PDFs often consists of “unstructured data.” For example, AI may struggle to accurately interpret table data from financial reports, as documents designed to be visually accessible for humans are not necessarily easy for AI to process.
We stay up-to-date with the latest research papers and global best practices to offer insights from the perspective of “data structuring” within your generative AI infrastructure. Through this approach, we provide excellent RAG implementation services.
Full Automation of Operations with Custom-Made GenAI
We believe that the ultimate goal of generative AI is to replace certain tasks performed by humans, enabling business leaders to reduce labor costs and allowing people to focus on value creation that only humans can achieve.
Rather than adopting a pessimistic view, such as the loss of jobs, we aim to focus on creative activities that generate high added value and inspire the world. It’s about individuals creating unique value that no one else can, or leveraging those ideas as a source of competitive advantage to enhance corporate value, all under a forward-thinking mindset.
If someone takes the first step, we believe such transformations can become a reality. Therefore, the challenge for companies will be how quickly they can automate the tasks currently performed by humans.
At our company, we develop applications for customers with a deep understanding of generative AI, designed to fully automate their current operations.
New Business Planning
I believe that the new market opportunities created by generative AI allow us to further add value to the data accumulated by businesses. For example, a company in the information industry might use its accumulated data to launch a personalized financial service based on trust scores, or an automotive company could offer optimal insurance services based on the driving data it has collected. We provide support for our clients to create new value by combining their assets with generative AI, leveraging our understanding of technology and past case studies.
