Accelerating AI Agent Development in Hong Kong’s AI Ecosystem with FabriXAI Studio

As Hong Kong continues to strengthen its position as a regional innovation and AI hub, organizations are moving beyond experimentation with large language models. The focus is now on building AI Agents that are scalable, governed, and ready for real-world deployment.

FabriXAI by beNovelty recently participated in “Automate & Accelerate AI Agents on HPC: Level Up Your Skills, From Zero to Master AI Agents”, an ecosystem event hosted by the Hong Kong Science and Technology Parks Corporation (HKSTP). The event brought together builders, founders, and enterprise teams to explore how AI Agents can be designed, deployed, and operationalized efficiently within Hong Kong’s growing AI ecosystem. Across the keynote, panel discussion, and hands-on workshop, a consistent message emerged: AI value is unlocked when agents are treated as shared infrastructure and connected to real workflows through APIs.

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The Core Challenge: From AI Experiments to Scalable Systems

Many teams today can build impressive AI demos or automate isolated tasks. The challenge begins when those individual successes need to scale across teams, integrate with existing systems, and operate under enterprise constraints such as security, cost control, and governance.

Without structure, AI adoption often becomes fragmented. Prompts live in personal tools, knowledge is duplicated, costs are hard to track, and AI remains disconnected from real business processes.

This is where FabriXAI focuses its approach. AI Agents should not be treated as one-off experiments. They should be built as reusable, governed infrastructure that organizations can rely on over time.

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Keynote Insight: What It Takes to Scale AI

In the keynote session, Kyla Chan, AI Project Manager at beNovelty, outlined why many organizations struggle to scale AI and what must change for long-term success. The keynote introduced principles that directly shape how FabriXAI Studio is designed and used in practice.

The key takeaway was clear. AI does not scale until it becomes shared, governed, and operationalized through APIs and workflows. Successful prompts, agents, and actions must be packaged as reusable building blocks, with clear access control, usage visibility, and cost guardrails. With this foundation in place, teams can reliably plug AI into real processes and scale adoption across departments without creating tool sprawl. Rather than treating AI as isolated experiments, the session emphasized building AI as reusable infrastructure from the start, so today’s wins become a durable platform for long-term business impact.

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How FabriXAI Studio Enables Scalable AI Agent Development

FabriXAI Studio is built to operationalize these principles and turn them into practical workflows for teams.

API-First AI Agents

Every AI Agent built in FabriXAI Studio can be published as an OpenAPI service. This allows agents to be easily integrated into applications, automation platforms, and internal systems. AI moves beyond conversation and becomes an action layer that can fetch data, update records, and trigger workflows.

Shared Knowledge and Agent Components

FabriXAI Studio enables teams to centralize prompts, agent logic, structured outputs, and knowledge sources. Instead of rebuilding logic repeatedly, teams can reuse and refine shared components, ensuring consistency and reducing duplicated effort.

Built-In Governance and Cost Control

Token usage, model selection, versioning, and access permissions are managed through a built-in AI Gateway. This gives teams visibility and control from day one, making AI adoption predictable and enterprise-ready.

Low-Code Development for Faster Iteration

With pre-built templates and a low-code agent builder, teams can move from idea to working AI Agent quickly, without sacrificing structure or reliability.

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Knowledge Automation as a First-Class Capability

A central theme throughout the event was Knowledge Automation, and it is a core strength of FabriXAI Studio.

In real business environments, knowledge often arrives in unstructured formats such as emails, chat messages, and free-text requests. Manual handling creates bottlenecks and introduces dependency on individual experience.

FabriXAI Studio enables teams to:

• Transform unstructured inputs into structured, actionable knowledge
• Standardize AI outputs for downstream systems
• Store and reuse AI-generated insights consistently
• Reduce reliance on individual expertise through automated knowledge handling

This approach turns AI agents into knowledge workers that support teams across departments, rather than isolated assistants limited to single tasks.

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From Concept to MVP: Hands-On Validation with FabriXAI Studio

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These concepts were brought to life during the hands-on workshop, where participants built AI Agent MVPs using FabriXAI Studio powered by HKSTP’s High Performance Computing infrastructure.

During the session, participants:

• created AI Agents using FabriXAI Studio templates
• selected enterprise-grade AI models hosted on HKSTP HPC
• deployed agents as Chat UI, Web Apps, or OpenAPI services
• integrated AI Agents into automated workflows using OpenAPI and n8n

Within a short timeframe, attendees experienced how AI Agents can move from concept to production-ready MVP while keeping data within a trusted infrastructure boundary and maintaining enterprise-grade control.

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AI Agents as Part of the Hong Kong AI Ecosystem

By combining FabriXAI Studio’s API-first architecture with HKSTP HPC, AI Agents become first-class citizens in Hong Kong’s AI ecosystem. Organizations can deploy AI closer to their data, meet security and compliance expectations, and integrate agents directly into existing systems and workflows.

This approach ensures AI adoption is not only fast, but also sustainable and scalable.

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Building the Future of Agentic AI Together

FabriXAI by beNovelty is proud to collaborate with HKSTP and ecosystem partners to accelerate AI Agent development in Hong Kong. As AI adoption matures, the ability to automate, manage, and scale knowledge through AI Agents will become a critical competitive advantage.

FabriXAI Studio is built to support this shift, enabling teams to move confidently from experimentation to production. We look forward to continuing our work with builders, enterprises, and innovators across Hong Kong’s AI ecosystem, and to supporting the next generation of scalable, knowledge-driven AI Agents.

We look forward to continuing our work with innovators, enterprises, and builders across Hong Kong’s AI ecosystem.

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What's Next?

Interested in building your own AI Agent MVP, or exploring Knowledge Automation with FabriXAI Studio? Stay tuned for upcoming workshops and product updates. You can also visit FabriXAI.com to learn more.