Hapi CEO Discusses AI Decision Speed and Data Decoupling in Hospitality
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On September 30, 2026, Hapi CEO Jeff Bzdawka, of hotel data integrator Hapi, proposed in Hospitality Technology that in the AI era, the hospitality industry should focus on the metric of "decision speed," which consists of three interdependent variables: answer time, answer credibility, and action distance; if any one is missing, the metric fails. He pointed out that hotel properties often stack 10 to 20 specialized systems and rely on overnight batch processing, making real-time AI impossible to implement; he advocates decoupling the data layer from core transaction systems such as PMS and POS via APIs, unifying them into the cloud before running AI and automation rules.
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- Hospitality TechnologyAI时代决策速度：酒店数据架构与VCC结算自动化
Hapi CEO Jeff Bzdawka指出，酒店业在追逐AI差异化时跳过了AI就绪的基础。MIT研究显示95%的生成式AI项目未达目标，RateGain 2026年分销报告显示仅10%的酒店AI投入实现预期价值。他将决策速度定义为三个相互依赖的变量：获得答案的时间、对答案的信心、与行动的距离。酒店资产由住宿、餐饮、水疗、活动与零售等业务组成，常堆叠10至20个专用系统，且依赖隔夜批处理，数据割裂。他主张将数据层与核心交易系统解耦，通过API与归一化管道汇入云端湖仓。案例显示，某大型连锁通过自动化VCC验证与入账，将VCC交易失败率从30%降至1%以下。
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