Stage II is Here — Turn AI into Impact!​

Real-World Impact × Awards up to NT$300,000 × AI Ecosystem | Oct.–Nov.​

Turn your AI Agent ideas into real-world applications. Showcase your achievements, connect with other teams, and combine capabilities to scale impactful AI solutions across Advantech.

Value-Driven Impact and Business Relevance

We are looking for AI Agent solutions that can be truly embedded into real work scenarios and generate measurable value. Submissions should validate results with before-and-after implementation data, demonstrating process transformation, efficiency improvements, and meaningful business impact.​

AI Agents & Deeper Application Focus

Projects should demonstrate proactive decision-making and the ability to interact with their environment. Teams are also encouraged to share AI Agents, knowledge bases, or tools across teams, connecting data and workflows to build a reusable and scalable AI ecosystem.​

Timeline and Awards

In mid-2026, teams will present their proposals, with outstanding proposals granted NT$20,000 per team.​

At the end of 2026, teams will present their implementation results, with awards of up to NT$300,000.

Several Domain Tracks

• Sales and Marketing and AE
• SCM & Manufacturing
• General Management – CoE Function​
• RD

Example of a AI Agent:

Imagine a Financial Multi-Agent that can automatically generate SQL code to retrieve data from multiple databases, seamlessly integrating with other Agent Groups to form a super-smart system. This intelligent agent not only handles data extraction and analysis but also learns from how humans collaborate and communicate across departments—enabling more effective and adaptive financial analysis.

Example of a Non-AI Agent:

A chatbot that just replies to questions when asked. Sure, it’s useful—but it doesn’t think for itself, take initiative, or connect with other systems to get things done. That’s why it doesn’t count as an AI Agent in this competition.

Eligibility

Organized by GenAI Center, this program is open to all Advantech global employees. Participation is limited to teams of 3 to 6 members, and cross-functional collaboration is strongly encouraged. Regardless of whether they participated in Stage 1, teams may submit their results and participate in the Stage 2 evaluation.​

This program focuses on applying Agentic AI capabilities to solve real business pain points. Teams are encouraged to progress from proposals and prototypes to real-world applications, demonstrating measurable results and impact. Teams are also encouraged to refine their solutions based on user feedback and enhance reuse and scalability through cross-team integration.​

Submission Requirements

This program consists of two stages:​

• Stage 1 – Proposal Submission: Teams are required to complete online registration and submit their proposal before the proposal submission deadline. Proposal decks may refer to the official template provided by the organizer.​

• Stage 2 - Implementation Results Presentation: Regardless of whether they participated in Stage 1, teams may submit their implementation results before the Stage 2 submission deadline and take part in the final evaluation.​

For detailed submission requirements, please refer to the Results Submission Guidelines.​

For more information about the AI Ecosystem, please refer to the section below.​

Selection Process

Projects will be evaluated across four functional areas. Coaches from each professional domain will evaluate submissions based on the scoring criteria and select the Excellent Proposal Award recipients in Stage 1 and the respective award recipients in Stage 2.​

Stage 1 Evaluation

Jun. – Jul.​

Stage 2: Project Implementation​

Jul. – Oct.

Stage 2 Evaluation

Nov. – Dec.​

Stage 1 Evaluation

Jun. – Jul.​

Stage 2: Project Implementation

Jul. – Oct.

Stage 2 Evaluation

Nov. – Dec.​

Technical Feasibility & Completeness

• Agent Integration: Are openclaw-, nemoclaw-, or similar agents effectively used to enhance or replace existing processes?​
• Workflow Redesign: Does the solution rework the entire workflow with agents, rather than applying AI to a single step?​
• Agent Collaboration: Do multiple agents collaborate across roles or systems using a unified framework?​

Actual Application & Promotion

• Scalability & Impact: Can the agent-based solution be reused or scaled for broader business impact? 
• User Feedback: What does the actual user data and feedback say? 
• Expansion Potential: Can this be applied cross-departmentally?
• Promote AI Agent technology exchange and expand the benefits of AI adoption and development across the company.

ROI & Value Definition



• Pain Point Clarity: Is the business problem clearly identified? 
• Quantified Value: Are the results (e.g., cost savings) concrete and measurable? 
• Productivity Gains: Is the efficiency improvement clear and significant?

Excellent Proposal​

Team Bonus of NT$20,000​

To support more innovative proposals, the Excellent Proposal Award will provide expanded award opportunities. Projects that demonstrate process improvement, business value, and implementation planning with AI agents will all have the opportunity to be recognized.

• Sales & Marketing & AE​ Judges：Steve Chang、Allan Tsay（蔡奇男）、Sindy Lin、Tony Fu、Frank Hao（郝飛）​
• SCM & Manufacturing​ Judges ：Linda Tsai、Jamie Lin、Frank Huang（ATMC）、Jimmy Liou、Jeff Huang​
  
• General Management-CoE Function​ Judges ：Eric Chen、Wesley Liu、Jonney Chang​
• RD​ Judges ：Magic Pao、ChingPo Lin、Frank Huang、Ys Yang、Jeff Huang