2026 Jump Start Program
Think of AI Agents as intelligent helpers. They're computer programs that can learn from data, make choices, and take action to achieve specific goals, all without needing constant human guidance.
Example of an AI Agent: Imagine a Financial Multi-Agent that grabs data, pulls info from databases, and connects with other Agent Groups to create a super-smart system.
Example of a Non-AI Agent: A Chatbot that just spits out answers. Helpful, but not an Agent in our book.

Key Highlights

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.
* New focus: Teams are encouraged to explain whether their projects already incorporate relevant concepts such as OpenClaw, NemoClaw, or Hermes Agent, or whether there is potential for further integration and extension. This helps demonstrate stronger real-world implementation, ecosystem integration, and commercial scalability.
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.
So, What's an AI Agent?
Think of AI Agents as intelligent helpers. They're computer programs that can learn from data, make choices, and take action to achieve specific goals, all without needing constant human guidance.
So, What's an AI Agent?
AI Agents are intelligent helpers—they learn from data, make decisions, and act toward goals without constant human input.
To meet this competition’s definition, an AI Agent must:
- "Make proactive decisions" based on context, without waiting for user commands.
- "Interact with environments", connecting to systems or data sources to complete multi-step tasks.
AI Agent Innovation Award Program 2026 – Guidelines
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.
Theme & Objectives
This program 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.
*
New direction: In line with the company’s recent AI development priorities, this program also encourages teams to build proposals around OpenClaw, NemoClaw, and Hermes Agent, and to identify feasible application scenarios. For existing proposals, teams may also supplement their submissions by explaining whether related concepts are already included, or whether there is potential for further integration, extension, and real-world deployment.
Submission Requirements
Participating teams are required to provide the organizer with a shared project folder through the registration system. During the program period, teams should continuously update the folder with relevant project materials, including proposal decks, prototypes, demo videos, progress records, and supporting documents, so that the organizer and judges can stay informed of each project’s development.
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 the proposal stage, teams may submit their implementation results before the Stage 2 submission deadline and take part in the final results evaluation.
Selection Process
Projects will be reviewed by
functional area, including Sales and Marketing and AE, SCM and Manufacturing, COE, and RD.
- In Stage 1, multiple teams will be selected for the Excellent Proposal Award.
- In Stage 2, multiple teams will be selected for the Excellent Award, Outstanding Award, Innovation Award, and AI Pioneer Award.
2026 Timeline
Stage 1: Proposal
Feb. – June
- June 18. Submission deadline for proposal
Stage 1 Evaluation
Jun. – Jul.
- June 22 – July 10. Presentation for proposal
- June 17. Excellent Proposal announcement


Stage 2: Project Implementation
Jul. – Oct.
- Teams that did not participate in Stage 1 are encouraged to register for Stage 2.
- AI knowledge-sharing sessions will be held during this period. Teams with development progress will be invited to share practical experience and promote AI technology exchange across the organization.
- Oct. 30. Submission deadline for final presentation
Stage 2 Evaluation
Nov. – Dec.
- Mid-Nov.
Presentation for project result - Early-Dec.
Awards announcement
2026 Timeline
Stage 1: Proposal
Feb. – June
- June 18. Submission deadline for proposal
Stage 1 Evaluation
Jun. – Jul.
- June 22 – July 10. Presentation for proposal
- June 17. Excellent Proposal announcement
Stage 2: Project Implementation
Jul. – Oct.
- Teams that did not participate in Stage 1 are encouraged to register for Stage 2.
- AI knowledge-sharing sessions will be held during this period. Teams with development progress will be invited to share practical experience and promote AI technology exchange across the organization.
- Oct. 30. Submission deadline for final presentation.
Stage 2 Evaluation
Nov. – Dec.
- Mid-Nov. Presentation for project result
- Early-Dec. Awards announcement
Scoring Criteria & Weights
2026 Focus: "Adoption & Scaling" It’s not just about building it; it’s about rolling it out. We are looking for AI Agent solutions that genuinely transform the way we work.
50%
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?
25%
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.
25%
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?
Awards & Incentives
Awards are not limited to a fixed number of recipients and will be determined based on project completeness, implementation results, and actual impact. In addition to the three major awards, the AI Pioneer Award has been introduced to encourage more high-potential teams that actively contribute to AI practice, share knowledge, and expand their influence.
As of the website update date on June 5, 2026, more than 50 teams have registered, and the number continues to grow.
We aim to recognize more than 30 teams with strong potential value, and will invite the teams to share their results at the AI Acceleration Monthly Meeting during stage 2. At the same time, AI Center will also invest resources by inviting relevant managers and experts to provide in-depth coaching, helping teams refine their projects, and strengthen their opportunity to advance toward awards such as the Excellent Award, Outstanding Award, and Innovation Award.
Stage 1
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.
Stage 2
Excellent Award
Team Bonus of NT$300,000
Recognizing benchmark AI Agent projects that demonstrate comprehensive implementation, strong business impact, measurable results, and a well-developed end-to-end solution.
Outstanding Award
Team Bonus of NT$200,000
Awarded to teams that show strong execution, clear use-case value, and solid progress in bringing AI Agent applications into real business scenarios.
Innovation Award
Team Bonus of NT$100,000
Honoring teams that explore new AI Agent opportunities with creativity, practical value, and meaningful potential for future development.
AI Pioneer Award
Team Bonus of NT$20,000
Every AI Agent project that reaches implementation deserves to be seen. This award encourages teams that complete their results presentation and demonstrate the practical value of their AI Agent solution.
This program will evaluate innovation and overall performance across core functional areas.
To ensure the highest level of professional credibility and forward-looking perspective, we have specially invited recognized experts from relevant fields to form the judging panel.

- 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
Award Selection Principles: Awards will be evaluated according to the functional areas listed above. To maintain the professionalism and value of the awards, the judging panel reserves the right to flexibly adjust the number, or to withhold awards when appropriate, based on the overall quality of the submitted projects.
Need Some Help?
If you have any questions regarding the award program, please feel free to contact us at GenAI.Center@advantech.com.
Okay, What are the
Rules?
Open to ALL Advantech employees
If you have any questions regarding the competition, please feel free to contact us at GenAI.Center@advantech.com.

