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.
What’s our design process?
Design thinking in AI
Discover
Problem Definition : User Interviews & the problem We’ finding
User interview | 12 Users | 30 Mins | Face to face
• What does your typical routine look like when you start your workday?
• What are your main tasks or responsibilities on a daily basis?
• Which software or tools do you use to complete these tasks?
• What challenge do you usually face while working-especially anything that affects your behavior or productivity?
• What personal strategies or solution do you use to deal with these challenges?
Discover
Primary User & Analysis : Issues & pain point
Define
Platform key concept : AI Platform + Agent tool solution
Based on the converged core categories, we identified three key requirements: understanding user intent, proactively invoking tools and data, and supporting collaborative, multi-step task workflows. The platform is centered on agent-based AI work partners, which serve as the primary interface for integrating tasks and operations, while enabling users to receive timely feedback and engage in ongoing dialogue.
Define
Design Thinking in Action: AI Agent Planning with some topic, Search About the Solution of Workflow Efficiency with Automation and AI
The team explored how AI-driven workflow automation can enhance overall operational efficiency. By synthesizing insights from desk research and analytical findings, we identified several practical use cases and developed concepts across four dimensions—people, machines, materials, and methods—covering domains such as human resources, warehouse and factory management, supply chain forecasting, and legal compliance.
During the ideation and brainstorming phase, we further examined areas where AI could effectively intervene and collaborate with humans, including tasks such as document processing decomposition, predictive maintenance, anomaly detection, and customer service. This approach broadened both the depth and scope of automation applications.
CONCEPT
STATS
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