How POSCO Increased Work Productivity Using an AI Agent Integrated with the Internal Network

About

Within POSCO, employees previously faced significant inefficiencies because essential regulations, schedules, and HR data were scattered across multiple platforms, requiring tedious manual searches. This fragmentation led to repetitive inquiries and a decline in overall information accessibility.

To address this, Perso Interactive introduced an AI Human–powered AI Kiosk integrated with POSCO’s internal network using its AI SDK and station. Through this system, employees can interact with an AI Human to instantly access internal knowledge, check schedules, and search employee information—all within a single Interactive conversational flow.

As a result, previously fragmented internal data was unified into one accessible interface, simplifying the information discovery process and reducing repetitive inquiries—allowing employees to focus more on their core tasks.

Background

POSCO’s goal was to transform its workforce from passive observers of complex systems into active, tech-savvy users of innovation.

The initiative began with a fundamental question: "Can all internal information be retrieved accurately through a simple Multilingual dialogue with an AI Human, without any manual searching?" They aimed to deliver a tangible digital transformation that employees could experience firsthand by linking the AI agent directly to live intranet data.

Solution

Built on Perso Interactive AI technology, this system is not a simple demonstration agent—it is directly integrated with POSCO’s internal network and operates based on real enterprise data.

Employees can ask questions naturally through text or voice and instantly access a wide range of work-related information, including internal policies, knowledge search, schedule management, and employee directory lookup. Rather than simply listing information, the AI Human provides responses in a format that can be directly applied to work tasks, streamlining the entire process from information discovery to execution.

In particular, the newly introduced horizontal AI Station offers a more intuitive user experience. Thanks to its flexible SDK-based architecture, the system integrates seamlessly with existing enterprise systems, consolidating multiple information touchpoints into a single interface.

Results

Following implementation, there was a clear shift in perception—AI was no longer seen as a conceptual or future technology, but as a practical tool that can be used immediately in real work environments.

Tasks that previously required navigating multiple systems can now be handled through simple conversations with the AI Human, significantly improving ease of use and overall accessibility.

As the effectiveness of the AI agent was validated across various operational areas—such as schedule management and employee lookup—the solution established a strong foundation for broader enterprise AI adoption and scalability.

Recommended For

This use case is ideal for:

• Enterprises seeking integrated internal information systems

• Organizations aiming to automate repetitive internal inquiries

• Teams looking to implement practical, data-driven digital transformation

It is particularly valuable for companies that want to move beyond conceptual AI adoption and establish a real, scalable AI-driven workflow powered by AI Kiosk and AI Human technologies.

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Frequently Asked Questions

Q. Can it be deployed on-site immediately without installation or separate development?

A. Yes. Perso Interactive AI can be deployed on-site immediately without separate development or infrastructure setup. However, if adding event information or customizations is needed, the requested development can be carried out through prior consultation. After development, the Station (kiosk) device can be placed and operated on-site right away.

Q. Is customization or expansion possible?

A. Yes. Because it has an SDK-based architecture, various customizations are possible to fit enterprise environments, including feature expansion, UI changes, and broadening the scope of data integration.