Clean Data and Good Governance: The Real Foundation for Using Gen AI in Hospitality

Not all APIs are equal. Vendors often claim "open APIs" but deliver the bare minimum - eg lead guest name without full party details, or guest name without booking source. Integration should be treated as a strategy, not a patchwork: middleware, or event-driven architectures can help unify fragmented systems more effectively than point-to-point fixes. Governance is just as important-consistent guest IDs, master data management, and privacy-compliant retention rules ensure clean data at the source.

I"ve seen Gen AI tools thrown with hope and prayers at messy corporate datasets; the tools did what they could but failed on logic and timing. For instance, they didn"t understand "recognised revenue," which can only be banked when services are delivered, not sold. Cancellable rooms create revenue liabilities, and hotels still define cut-offs at night closure (2–3 am). Gen AI left to its own devices would mis-handle this. LLMs have no world model-they don"t know before/after, push/pull, or date cutovers. Agentic AI is essentially an LLM on top of other LLMs orchestrating process flows. Fine for simple cases, but brittle when exceptions arise (eg similar guest names, out-of-order rooms, midnight rollovers, missing data). Traditional RPA players like UiPath, Automation Anywhere, and Workato remain safer orchestration partners. Human-in-the-loop design-where humans review exceptions and validate AI actions-is not optional; it must be part of the architecture.

Unstructured datasets in hospitality today are ripe for Gen AI harvesting: social media posts, TripAdvisor reviews, free-text PMS notes, contact centre transcripts. These can drive sentiment analysis, guest journey mapping, operational anomaly detection, and service improvements. Structured data, however, is still best handled via BI techniques (ETL pipelines, data lakes /lake houses) with visualisation tools layered on top. Gen AI can assist here as an extra wordsmithing module, but as not the analytical engine itself.

There are no short cuts: clean, well-governed structured data plus thoughtful use of Gen AI on unstructured content is the right mix. Investment in deduplication, proper integrations, and governance pays back by reducing service errors and guest dissatisfaction, making AI the gloss on top, not the foundation.