AI Work Tools Changing the Way We Work

AI work tools are changing how office workers do their jobs by quickly handling repetitive tasks like organizing meeting notes, drafting emails, and managing schedules. As so-called 'work for work'—finding materials, aligning context, organizing, and sharing them—decreases, an environment where people can focus more on their core work is opening up.

In the corporate field, AI features are permeating documents, email, messengers, meetings, and design overall. In particular, they are effective at reducing the problem of information fragmentation, where information is scattered across multiple channels, cutting down the average one to two hours per day that office workers spend searching for information.

For example, Clova Note converts meeting content from speech to text and even summarizes it, helping users complete follow-up organization—including attaching schedules or sending emails—in under 5 minutes. In content marketing, video generation and copy suggestions are possible from just a text scenario, and in development, AI quickly assists with code review.

While general-purpose AI is strong with external knowledge, it is weak on internal company context. This is why enterprise-dedicated AI, which connects and understands an organization's documents, messengers, emails, manuals, and work history, becomes important.

There are three main reasons enterprise-dedicated AI is needed.

• Security: It can reduce the risk of sensitive information leaking externally or being used for external training.
• Reliability: By linking with internal documents, manuals, or RAG, it can reduce hallucinations and improve accuracy.
• Operational control: It can be maintained and improved according to enterprise needs without being shaken by changes in service policy.

Team Naver's enterprise work platform NAVER WORKS is an example that shows this direction. It boosts work productivity by integrating HyperCLOVA X's message/email summarization, spelling correction, tone conversion, and translation, Clova Note's meeting summary, Clova OCR's image text recognition, and Papago's multilingual translation.

This platform first verified its stability and effectiveness internally before being offered to external customers, and it is also being applied to the government-wide intelligent work management platform and public institution collaboration services. Based on infrastructure specialized for public institutions, it also meets high security requirements.

The next step is autonomous agents. A likely direction is one where sales AI, legal AI, and finance AI divide roles and collaborate, with humans making only the final decisions. Ultimately, AI work tools are establishing themselves as a productivity booster that reduces repetition and fragmentation so people can focus on more important work.