Challenge

As AI Agent tools rapidly expand in the market, enterprises face the challenge of efficiently selecting, integrating, and deploying the right tools for specific business processes. The core challenges include:

• Implementation Complexity: How to efficiently select, integrate, and deploy the most suitable AI Agent tools for specific business processes.

• User Experience (UX) Barriers: The lack of a unified and intuitive platform leads to a steep learning curve for enterprise users when operating, managing, and monitoring different agents.

Goal

The goal of this project is to create an AI Agent platform for businesses, helping customers manage data and improve user efficiency. Our task is to build an AI proof of concept (POC) from scratch, focusing on optimal performance while aligning with user experience and technical needs.

#AI Technical Research #Brainstorming #Scenario #Prototye

Focus

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Solve the challenge of efficiently filtering, managing, and collaborating with multiple AI Agent tools for enterprise users.

Opportunity

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A unified, intelligent Agent management interface to unlock the value of AI agents in cross-departmental business processes.

Outcome

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Platform features and data architecture focused on managing and monitoring multi-agent collaboration, along with an AI Agent platform proof of concept (POC) model.

Impact

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Enhance overall enterprise efficiency and resource utilization.

Situation : To drive process optimization, we combined secondary data analysis with cross-functional interviews to uncover performance bottlenecks within current operations. By grouping key tasks, we pinpointed high-repetition and high-error scenarios and assessed the feasibility of automation solutions to better align the platform with user needs.