There’s no shortage of AI bots that can answer questions from a snapshot. Train the bot on the knowledge base, a scraped FAQ, a document someone uploaded six months ago — that works fine for static information.
It doesn’t work when accuracy depends on what’s true right now — inventory levels, availability, contract status, order data.
The demo below shows a different approach. We built a real-time AI agent for Wailea Ekahi Village, a vacation rental property, that connects directly to their property management system via API. Every response reflects live data. There are no approximations or stale cache.
Instead of the AI guessing or retrieving from a document, it calls a defined external function and returns what the system actually says. We wrap each client’s API in a tenant-isolated MCP server, which means the integration is secure, predictable, and scoped entirely to that client’s data.
Vacation rentals are the use case here. But the pattern applies anywhere you have an API and a workflow where people need answers that can’t be static. Field service teams checking parts availability. Sales reps querying contract status. Support bots with access to live order data. If there’s an API, there’s a version of this worth building.
