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# i-Search Wins "AIIA Pioneer Practice Intelligent Agent Special Excellent Practice"
- URL: https://i-search.ai/blogs/i-search-wins-aiia-pioneer-practice-intelligent-agent-special-excellent-practice/
- Published: 2026-10-16T09:57:54.000Z
- Updated: 2026-10-16T09:57:54.000Z
- Description: i-Search's Magical Automator won the AIIA Pioneer Practice Agent Special Excellence Award at the 2026 AI Industry Conference. The article explains the product's full agentic lifecycle, self-healing and Skill reuse, plus i-Search's enterprise automation vision.
- Author: i-search.ai
- Tags: News

On October 14, the 2026 Artificial Intelligence Industry Conference kicked off in Jinan, Shandong. Co-hosted by the China Academy of Information and Communications Technology, the Department of Industry and Information Technology of Shandong Province, and the Jinan Municipal People's Government, the conference was themed "Accelerating AI Empowerment of New Industrialization," bringing together industry experts and leading enterprises to explore the path of high-quality development for the AI industry.

![](https://i-search.ai/blogs/content/images/2026/10/------------.jpg)

In parallel, the conference held the Intelligent Agent Innovation and Development Forum, which focused on cutting-edge topics such as agent standardization, trustworthy capability evaluation, and industry implementation practices, and released standards, evaluation results, and pioneer application cases in the agent field.

During the award ceremony of the forum, i-Search's nominated project, Magical Automator, was successfully honored with the "AIIA Pioneer Practice Agent Special Excellence Award."

![](https://i-search.ai/blogs/content/images/2026/10/AIIA---------------.jpg)

This honor is an authoritative recognition by the AIIA Expert Review Committee of i-Search's technological innovation and scenario implementation achievements in the agent field. It also represents that i-Search's agentic automation has become one of the domestic benchmark demonstration cases recognized by AIIA experts.

![](https://i-search.ai/blogs/content/images/2026/10/AIIA---------------2.jpg)

Guided by the national "AI+" initiative, agents are accelerating from concept to large-scale implementation. Magical Automator is an AI-native next-generation automation builder created by i-Search based on years of automation experience. It covers the complete agentic lifecycle: conversation—exploration—development—trial-run validation—delivery—operation—self-healing—accumulation. Business personnel describe requirements in natural language, and the agent automatically explores various system interfaces, autonomously generates automation workflows, and performs pre-validation. When system upgrades or control changes cause workflow errors, the AI automatically re-plans operation paths and repairs locators, achieving "fail self-heal." Mature workflows can also be encapsulated into reusable Skills to quickly respond to temporary business needs.

![](https://i-search.ai/blogs/content/images/2026/10/3.-------_09.png)

As a productivity agent, Magical Automator combines the intelligence of Agents with the stability of RPA to deliver enterprise-grade stable automation workflows. It has been implemented in scenarios such as finance, operations, and supply chain, helping enterprises transform repetitive labor into governable and reusable automation capabilities.

The forum also shared practices in fields such as power, communications, enterprise collaboration, data foundations, and industry, exploring the path of agents evolving from single-point applications to large-scale implementation. i-Search's practices are highly aligned with this direction: through the enterprise-level Agentic Automation Platform, it upgrades automation capabilities from single-point tools to organization-level capabilities, enabling agents to truly embed into business processes and continuously create value.

In the future, i-Search will continue to deepen its work in the agentic automation field, actively participate in industry standard development and trustworthy evaluation, promote the deep integration of agentic automation technology in more industrial scenarios, and contribute replicable practical examples for AI empowering new industrialization.