Streamline Summit

Every operator we work with wants the same thing: AI that handles guest messages without someone on your team reading every reply before it goes out. A few get there. Most don't know where to start.

What's holding them back is usually what the AI has been given to work with: policies, knowledge base, messaging style. An AI answering guest questions is only as good as the answers you've handed it. Early check-in. Pet fees. Parking. Where the WiFi password is. Broken AC at 11pm on a Saturday. Refund requests. If the answer isn't documented somewhere clear and specific, no AI on the market will get it right, and you'll be back to checking every message.

Thinking this through is the highest-leverage work you can do with any AI tool. It's also the part nobody wants to do, so we are doing it together, in the room.

Every attendee gets a printed workbook: the framework we use with operators to get to AI Autopilot they can trust. Examples from real portfolios, plus blank pages you'll start filling in during the session: policies, knowledge base gaps, and how you want your AI to sound. You'll leave with your own work started, not just notes about someone else's.

Here's how we got here: 2024 was the Copilot era, AI drafting messages and polishing listing descriptions - helpful, not transformative. 2025 brought Autopilot, where AI could answer a guest without a human rewriting it. We'll share what a full year of Autopilot in production delivered for our operators: wins, learnings, and ROI. From there (2026): automating gap nights and early check-ins, and building a 24/7 guest experience layer that makes Streamline stronger instead of adding one more login to your stack.