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 demonstrate meaningful business impact, practical implementation outcomes, and the potential to drive decision-making and process transformation.

AI Agents & Deeper Application Focus

Projects should demonstrate proactive decision-making and the ability to interact with their environment, reflecting genuine AI autonomy. Submissions should also clearly describe the business context and the concrete, measurable value created.

Timeline and Awards

In 2026, the contest will be conducted in two rounds, one in the first half of the year and one in the second half. Teams receiving the A+ Award will be granted NT$300,000 (or a PSOP incentive).

Several Domain Tracks

• Sales and Marketing and AE
• SCM & Manufacturing
• General Management – CoE Function and 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 AIA, this contest is open to all Advantech global employees. Participation is limited to teams of 3 to 6 members. We strongly encourage cross-functional and cross-team collaboration to co-create innovative AI Agent applications.

This contest focuses on application-based projects that demonstrate AI Agent capabilities. Teams are encouraged to use AI to solve real business pain points and deliver measurable results and impact, such as productivity gains, process optimization, cost savings, or revenue contribution. In addition to technical feasibility, proposals should also emphasize practical adoption and future scaling potential.

Submission Requirements

This competition adopts an Early Submission mechanism. Each participating team is required to create a shared project folder as early as possible during the initial stage of the competition and provide access to it to the organizer through the registration system. Teams are expected to continuously update the folder throughout the competition period with relevant project materials, including proposal decks, prototypes, demo videos, progress updates, and supporting documents, so that the organizer and judges can stay informed of the project’s development. Based on each team’s level of completion in the early stage of the competition, the organizer will provide the available project materials to the judges for a first-round feedback review. Teams may then continue refining both the shared folder and their submission materials based on the feedback, and may resubmit updated versions before the submission deadline.

Selection Process

Entries will be reviewed by the following functional groups: Sales and Marketing and AE, SCM and Manufacturing, COE, and RD. Judges will select winners for the A+ Tier Award, A Tier Award, and Outstanding Project Award.

Wave 1 Evaluation

Mid - June

Wave 2

July. – Oct.

Wave 2 Evaluation

Late - Oct.

Wave 1 Evaluation

Mid - June

Wave 2

July. – Oct.

Wave 2 Review

Late - Oct.

Actual Application & Promotion

• Scalability: Is the architecture replicable across other teams or regions? 
• User Feedback: What does the actual user data and feedback say? 
• Expansion Potential: Can this be applied cross-departmentally?

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?

Technical Feasibility & Completeness

• Architecture Integrity: Is the AI Agent structure robust and complete? 
• Autonomy: Does the solution demonstrate true autonomous decision-making? 
• Readiness: Is the development progress and timeline on track?

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