Joining forces to promote intelligent transformation of Hong Kong companies

Gptbots.ai, Aurora Mobile's enterprise AI platform, co-hosted the highly anticipated theme course, “AI Agents Drive Intelligent Transformation,” with the Hong Kong Productivity Council (HKPC). The event brought together enterprise leaders and AI innovators to delve into digital and intelligent upgrades, and bring together enterprise leaders and AI innovators to systematically analyze the practical applications of AI agents across end-to-end business scenarios. It provided Hong Kong companies with a fresh perspective and practical strategy to overcome the bottlenecks of change and embrace cutting-edge AI innovation.

This training session not only provided cutting-edge AI technology and invaluable work experience to local businesses, but also injected a critical new momentum into Hong Kong's burgeoning digital economy.

With the fascinating opening address of Gptbots, Tommy Lui provided a detailed review of the evolutionary journey of AI agents, meticulously analysing the key challenges companies encounter during intelligent conversions. He said, “AI amplifies our capabilities. It's not a replacement for us. Characterized by low barriers to intrusion and robust adaptability, Gptbots' agents emphasize that companies can embed AI deep into their core business processes and use AI.”

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Following this, Jerry Inn, Vice President of Aurora Mobileprovided a comprehensive breakdown of the GPTBOTS platform architecture and its core features. Through sophisticated multi-agent collaboration, extensive industry knowledge base and intuitive no-code orchestration, he highlighted that GPTBOT can quickly adapt to complex business scenarios across diverse sectors such as finance, manufacturing and retail. This allows businesses to achieve seamless process automation and critical business innovation, which greatly improves operational efficiency and competitive advantage.

Rim Wang, senior agent engineer at Gptbots, captivated the audience by sharing cases of applications across attractive industries. He clearly demonstrated how AI agents optimize critical features such as customer service, work order management, operational inspection, and more, leading to significant improvements in efficiency and user experience. Complementing this, Agent Engineer Jacky Li conducted live, hands-on demonstrations of practical pathways to quickly build AI agents without the need for coding, allowing enterprise managers to intuitively understand the immediate and concrete value that AI brings.

The event facilitated dynamic interactions with representatives from major financial, healthcare, retail and manufacturing companies. These included the essentials to build a compliant, intelligent customer service system, automate work ordering and inspection, establish seamless multi-channel customer engagement with personalized recommendations, and streamline healthcare appointment scheduling and follow-up. The GPTBOTS team leveraged sophisticated no-code platforms, industry customization agents and robust multi-channel integration capabilities to provide customization solutions to each enterprise representative. Agent engineers further solidified their understanding through live demonstrations and comprehensive Q&A sessions, and clearly showed practical implementation effectiveness.

As a globally recognized leader in enterprise-level AI agent platforms, GPTBOTS.AI proudly serves more than 60,000 companies and developers around the world. The platform has a set of core features including multi-model integration, intuitive no-code agent construction, comprehensive industry scenario templates, and stringent enterprise-grade security and compliance. These capabilities allow businesses to achieve efficient and accessible AI implementations with minimal barriers.

Looking ahead, Gptbots is committed to continuing collaboration with HKPC. Together, they will permanently co-develop training to empower more Hong Kong companies and accelerate their journey towards a more intelligent and innovative future.

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