让AI投入清晰可见 天润融通2025 AI Agent实战营圆满收官

Tianrun Rongtong's AI Agent Bootcamp delivers hands-on practical content to help businesses master AI skills.

1. The curriculum covers Agent fundamentals, Zenava platform introduction, intelligent agent models, real-world case breakdowns, prompt writing principles, and optimization techniques in a concise and efficient format.

2. Through cases like smart lock troubleshooting, B2B website lead generation, and enterprise WeChat customer service, participants experience AI's value in text and voice scenarios.

Practical exercises yield significant results.

1. Participants build Agent chatbots and design workflows, completing testing and deployment with 1-on-1 mentor guidance for immediate application.

2. Submitting practical work earns professional feedback and certification, demonstrating the transition from AI understanding to implementation.

AI Agent training optimizes customer engagement while enhancing brand experience and user behavior observation.

1. Cases like pre-sales lead generation reveal shifting consumption trends, showing how AI efficiently meets user needs to boost satisfaction and loyalty.

2. Tianrun Rongtong drives brand digitization by establishing measurable growth pathways that support AI integration in product development.

Consumption trends inform brand strategy.

1. AI addresses "AI anxiety" and inefficient investments, helping brands build competitive differentiation that indirectly influences pricing and channel development.

2. Future training enhancements will help brands leverage AI for long-term productivity gains in competitive markets.

The bootcamp helps sellers address AI transformation challenges while identifying growth markets and learning opportunities.

1. Growth Markets: AI optimizes processes like after-sales troubleshooting, driving efficiency gains and productivity transformation that unlock commercial opportunities.

2. Learning Points: Prompt engineering techniques and scenario applications help overcome challenges like inefficient AI investments.

Positive impacts and risk considerations.

1. Addressing widespread AI anxiety through sustainable operational systems reduces risks, with opportunities like advanced 2026 training programs.

2. Collaboration: 1-on-1 mentor sessions provide tailored implementation solutions to support business model innovation.

AI training reveals product design and manufacturing requirements while advancing digitization and e-commerce capabilities.

1. Cases like smart hardware troubleshooting directly reflect AI integration needs in product design, optimizing manufacturing processes.

2. Commercial Opportunity: Text and voice AI applications inspire factories to accelerate digitization for efficiency gains and cost reduction.

Digitization insights are significant.

1. Tianrun Rongtong helps establish replicable intelligent growth pathways supporting e-commerce transformation through practical training.

2. Future training expansions will unlock AI's manufacturing potential, particularly in scalable troubleshooting applications.

The bootcamp addresses industry pain points while demonstrating new technologies and solutions.

1. Client Pain Points: Businesses face AI anxiety and investment inefficiency, requiring efficient operational capabilities.

2. Solutions: AI Agent operational systems with prompt optimization and scenario applications enhance customer engagement.

Industry trends and emerging technologies.

1. New Tech: Zenava platform, intelligent agent models, and prompt engineering techniques drive service innovation.

2. Trends: AI applications shift from pilot to scale, with demand intensifying and specializing, as seen in 2026 talent development plans.

The bootcamp responds to platform demands while showcasing latest platform practices.

1. Platform Needs: Businesses require AI operational support; Zenava platform delivers text/voice solutions for engagement challenges.

2. Latest Practices: Curriculum combines theory, cases, hands-on exercises, and 1-on-1 feedback, using training to attract platform participation.

Operational management and risk mitigation.

1. Management Strategy: Mentor guidance and certification ensure platform effectiveness while mitigating AI investment risks.

2. Future training enhancements will help build sustainable evolution systems supporting long-term platform growth.

The bootcamp reveals industry trends and emerging challenges while providing business model insights.

1. New Trends: AI Agent applications expand from pilot to scale with deepening, specialized demand as seen in 2026 enhancement plans.

2. Emerging Issues: AI performance gaps stem from operational deficiencies rather than models, requiring sustainable system development.

Business model and policy implications.

1. Business Models: Training-as-service helps businesses unlock AI potential, transitioning from human-driven to AI-driven operations.

2. Policy Insights: Establishing measurable, replicable growth pathways supports industrial regulation recommendations for long-term capability building.