AI agents are gaining attention as powerful tools for automating and streamlining operations. For technology-driven companies in particular, reducing repetitive tasks, accelerating data analysis, and enhancing customer support are critical to boosting competitiveness. However, many organizations face challenges such as “where to start” and “how best to deploy them” when considering adoption.

With the evolution of AI technologies, AI agent tools are becoming essential drivers of business process automation and operational efficiency.

Especially for technology-driven companies, reducing repetitive tasks, enhancing data analysis, and strengthening customer support are crucial sources of competitive advantage.

However, with so many tools available, selecting the one best suited to your organisation—and implementing it effectively—is no easy task.

Artificial intelligence (AI) continues to evolve to meet a wide range of modern-day needs—workflow automation, data analysis, customer support, and more. Among the newest entrants, Claude, developed by Anthropic, has attracted attention as a large-language model (LLM) that prioritizes safety and ethics through a unique “Constitutional AI” approach. Competing with ChatGPT and Gemini, Claude positions itself as a highly trustworthy option for enterprises and researchers alike.

Artificial Intelligence (AI) is revolutionizing the software development landscape, and GitHub Copilot, a collaboration between GitHub, OpenAI, and Microsoft, is at the forefront of this change. More than just a code completion tool, Copilot has evolved into a full-fledged development assistant offering code generation, review support, and learning assistance.

The evolution of AI technology has reached a critical point for IT decision-makers in Japanese enterprises. According to the "DX Trends 2024" by Japan's Information-technology Promotion Agency (IPA), only 19.2% of Japanese companies report having implemented generative AI, a rate that remains virtually unchanged from 2022. In contrast, adoption in the U.S. stands at 40.4%, revealing a significant gap. Barriers include cost, implementation complexity, and legal compliance. 

In recent years, generative AI technologies have advanced rapidly, finding applications across various industries. Among the most notable are OpenAI’s ChatGPT and Grok 3, developed by xAI, the company led by Elon Musk (under X, formerly Twitter). Both are advanced language models in business, development, customer support, and more.