Ideatech Presents 'Agentic University' Strategy at Daegu-Gyeongbuk Regional University IT Managers Seminar
IT DAILY ·
✦ AI Summary
Ideatech said on the 2nd that it had participated in the 'Daegu-Gyeongbuk Regional University IT Managers Council New Technology Seminar.'
Ideatech presented its 'Agentic University AI execution strategy' for university AI transformation and an AX execution strategy that goes beyond connecting heterogeneous systems, databases and AI.
The strategy is designed to help AI agents safely use universities' internal data and business systems and carry out actual administrative tasks.
Ideatech, a specialist in AI execution platform AX iPaaS, said on the 2nd that it had participated in the 'Daegu-Gyeongbuk Regional University IT Managers Council New Technology Seminar.'
The seminar was held to share the latest technologies and solutions for supporting universities' digital transformation and AI adoption, and was attended by university IT staff and related industry representatives.
At the event, Ideatech presented its 'Agentic University AI execution strategy' for university AI transformation. The company introduced an AX execution strategy that goes beyond connecting heterogeneous systems, databases and AI.
This AX execution strategy is designed to support the safe use of universities' internal data and business systems by AI agents, and to enable AI agents to carry out actual administrative tasks.
Ideatech is an AX iPaaS company. It provides AI Gateway, MCP Gateway and an execution foundation for AI agents. AX iPaaS is a No-code execution infrastructure that connects AI agents with enterprise business systems.
In the lecture, the key topics were not simply adopting AI, but the targets that AI can access in data and systems, authority and policy for performing tasks, and how to control and observe execution processes. Ideatech's AX iPaaS aims to meet these requirements.
Ideatech's AX iPaaS consists of a security-enhanced communication layer and an AI execution layer. The communication layer securely connects a university's on-premises and cloud environments, and standardizes connections to heterogeneous databases, applications, API and MCP tools. The AI execution layer handles LLM, AI agents and business process orchestration, while integrated management is provided for permissions, policies, approvals, errors and execution history.
Universities can build an agentic AI environment that enables the safe execution of multi-step tasks based on AI agents' permissions and policies, rather than relying on simple API integration. This means they can establish an operating environment that extends beyond simple integration by using AI agents that follow permissions and policies.
In line with this trend, the government's policy to transform universities with AI has recently gained momentum. The Ministry of Education is promoting the development of 'AI hub universities' centered on national flagship universities, while the Ministry of Science and ICT is expanding its 'AI-focused university' project to drive AI-centered innovation in university education systems.
Accordingly, universities' direction of evolution is increasingly being set beyond the level of data and API integration. On campus, this is evolving into a stage where generative AI and AI agents are safely applied and executed in education, research and administration.
In an example workflow, an AI agent first understands a student's natural-language request, then queries the academic system for the necessary information, checks relevant regulations, executes the administrative procedure and finally provides the result.
A university's AX environment can be implemented without replacing existing academic and administrative systems entirely. It can connect on-premises and cloud environments, heterogeneous databases and applications, and configure business workflows in a No-code manner. As a result, reduced burden for systems integration development and lower system maintenance costs can also be expected.
To do this, a single workflow connection among university data, business systems, LLM, MCP and AI agents is presented as a prerequisite. In addition, an execution framework that can centrally control and observe access permissions, security policies, execution processes and results is also cited as a requirement.
Key factors in this process include management of AI agent access permissions and security policies. Also mentioned as important is an AX execution foundation that can centrally control and observe business execution processes and results.
An Ideatech official said that a university's AX transformation cannot be completed by simply introducing individual AI solutions, API or MCP tools. The official also explained the need for a secure access foundation for AI agents to university data and systems, as well as an AI execution foundation that can carry out multi-step tasks in accordance with prescribed permissions and policies. The official added that AI execution foundations will determine competitiveness going forward.
The speaker described AX iPaaS as a platform with a security-enhanced communication layer and an AI execution layer for agents, and said the company intends to support single-flow orchestration of LLM, MCP, AI agents and business processes while preserving existing IT assets.
Source: IT DAILY · Seong Won-young
Original: https://www.itdaily.kr/news/articleView.html?idxno=241363
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Source: IT DAILY
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