In June, Hong Kong’s government officially established the “AI+ and Industrial Development Strategy Committee” and allocated HK$300 million to promote digital transformation among SMEs, focusing on AI and cybersecurity solutions. The policy signals a shift from AI R&D to large-scale industrial application. But as AI integrates into core business processes, a critical question emerges: how to ensure AI systems are stable, secure, and reliable in production?

Quality risks emerge as AI scales

According to McKinsey, over 88% of global enterprises have deployed AI in at least one business scenario. However, AI introduces new risks—unpredictability, data bias, and cascading effects from model updates. Traditional software testing is no longer sufficient. Enterprises now need to verify long-term stability, output trustworthiness, data security, and consistent user experience.

Hong Kong enters the “quality verification era” for AI

As a financial hub, Hong Kong has strict reliability demands across banking, insurance, cross-border trade, and public services. AI is being used in smart customer service, robo-advisors, risk control, and marketing. But challenges abound: Can a chatbot understand mixed Cantonese and English? How does network variability affect performance? Does AI-generated content contain factual errors?

Smart Testin’s Deputy GM in Hong Kong, Yu Deshui, notes: “Many enterprises have deployed AI tools, but production reveals issues with compatibility, stability, security, and UX. Future competitiveness lies not just in AI capabilities but in the ability to maintain reliable AI operations.”

From testing software to testing AI

Testing has evolved from functional verification to multi‑dimensional validation—performance, security, compatibility, model behavior, and data quality. Hong Kong’s multi‑device, multi‑network, multi‑language environment adds complexity. Building an in‑house testing team is costly and often inadequate.

Smart Testin provides a “tools + resources + services” quality assurance system. It offers thousands of real devices across Android, iOS, and HarmonyOS for compatibility testing. AI capabilities—natural language script generation, OCR, form auto‑processing, cross‑platform reuse—reduce repetitive work. Its full service suite covers functional, compatibility, performance, security, automation, and AI testing.

Quality assurance as a competitive edge

As AI moves from helper to core business driver, quality assurance becomes a strategic necessity. Enterprises now care about long‑term operational stability, not just on‑time launch. This shift is evident in finance, public services, and energy. QA is no longer a cost—it reduces risk and ensures business continuity.

Zhang Pengfei, Partner and Hong Kong Head of Smart Testin, says: “Success of an AI project will be measured by system stability, trust in outputs, and user retention. Quality assurance is becoming a pillar of digital competitiveness.”

With Hong Kong’s new AI+ strategy committee, the focus is moving from “whether to adopt AI” to “how to adopt AI with high quality.” Just as cloud computing brought infrastructure for compute and mobile internet built app ecosystems, AI demands a reliable, verifiable quality system. For Hong Kong enterprises, building robust QA capabilities may be the most underestimated yet irreplaceable advantage in the AI era.