Enterco Delivered a Speech on New AI Paths at InnoCosme

Against the backdrop of increasingly stringent regulations, intensifying market competition, and accelerating globalization of brands in the cosmetics industry, the shortcomings of traditional manual compliance models are becoming increasingly apparent. Problems such as cumbersome regulatory searches, time-consuming ingredient comparisons, error-prone efficacy claim reviews, inefficient packaging and label inspections, and lengthy safety assessment report writing processes not only slow down the pace of new product launches but also easily trigger compliance risks, becoming a significant bottleneck restricting companies' R&D innovation and market expansion.

In his presentation, Xu Jiaqi systematically outlined the evolutionary path of AI engineering, from early prompt word engineering and context engineering to the Harness AI Agent engineering methodology, which centers on autonomous planning, tool invocation, and multi-agent collaboration. He pointed out that 2026 is the first year of agent-type AI, and cosmetics compliance AI is transitioning from a reasoning-based stage with logical analysis capabilities to an agent-type stage capable of autonomous task execution and dynamic decision-making. This technological shift brings disruptive efficiency improvements to the field of cosmetics compliance.

Based on this technological trend, Enterco has created an AI compliance tool matrix covering four core scenarios: copywriting review, ingredient screening, packaging comparison, and assistance with filing and safety assessment materials. Among them, the CosReg cosmetics compliance AI assistant integrates 1,200+ regulations and 21,000+ penalty cases, enabling compliance review of efficacy claims and accurate identification of superlative words and medical implications.