After a full day on the conference floor, we took it to the water. π
We wrapped up day one of Aviation Festival Americas with an evening on Biscayne Bay alongside airline and airport leaders. Good company, great conversations, and a night to remember.
Thank you to everyone who joined us. π³οΈ π₯
Most travel AI agents assume an easy trip. One traveler, one route, one clean fix. The trips that actually test a brand look nothing like that.
Our CMO Charles Studt sat down with @dc_trips (the Travel Trends podcast) to talk about the ones with a lot of moving parts, where a flight, a connection, a hotel and a car all have to line up and no single provider can see the whole journey.
Stay tuned for the podcast!
We're cleared for takeoff βοΈ
We are at Aviation Festival Americas in Miami β booth #511. Come see a live demo of AI working across the full travel journey, from booking to disruption management to loyalty.
Our CMO Charles Studt is on a panel today at 1:50 PM: The Power of Information: Leveraging Data for Seamless Customer Experiences.
Come say hi β coffee's on us β #AviationFestivalAmericas #TravelTech #AI
A delivery driver gets into an accident mid-order. Watch how Agent Steward handles it β customer, driver, restaurant, support. Four parties. One thread. The customer never even felt the chaos.
We're excited to share what the 2026 Delight AI Index found about travel.
Travel is one of the highest-stakes places consumers meet AI. There's money on the line and a clock running, so it's where trust gets tested hardest. We pulled the numbers to see how travelers really feel.
β 83% hold the brand accountable when AI gets it wrong
β 57% trust AI more when it can undo a decision
β 70% would feel more delighted if AI just remembered them
The disruption moment is where travel brands win or lose the relationship. A canceled flight, a missed connection, a booking gone sideways.Β In that moment, recognition and a fast resolution are what keep the traveler coming back.
Your AI agent runs on a playbook. We call it the Actionbook, and it holds every rule the agent follows: when to refund, when to escalate, how to handle the edge case that shows up twice a year.
The trouble has always been that this playbook reads like a wall of text only an engineer can love. So when something goes sideways, the move is the same every time. File a ticket, then wait for engineering or the deployment team to dig through the logs and find the rule behind it.
OpenBook changes who owns that moment.
It is the visualization layer for your Actionbook. The same rules your agent already runs on, now navigable like a map, from ten thousand feet down to ten.
Full walkthrough in the blog: https://t.co/H6GGjkhwU1
Taylor Swift has a secret weapon. She calls it Taylurking. Months of quietly watching. Learning your story. Then showing up and already knowing everything. Everyone wants that moment. Nobody wants to do the work that earns it.
Getting an AI agent to 100% pass rate used to take weeks of prompt tuning, test writing, and transcript review. Then your knowledge changed and you started over.
We fixed that. π§΅
Most businesses are still running like a paper map, expecting customers to do all the work.
@KenHughesIE, CX Strategist and King of Customer Experience, calls today's consumer the "blue dot" consumer. They stand still. Everything revolves around them.
The brands winning right now figured that out.
https://t.co/NteXFimlNS is built for exactly that world.
#CustomerExperience #DelightAI #CX #KenHughes
63% of Millennials are comfortable letting AI handle routine retail CX on its own.
That's 28 points ahead of Boomers β and Millennials are the cohort with the most spending power in retail today.
The brands building for them now will own the next decade of retail loyalty.
Full retail index β link in comments
#RetailAI #DelightAI #CustomerExperience
The peach made it to the press. π
Our CMO Charles Studt is in San Francisco Business Times today: the billboards that stick in this AI cycle are the ones you read twice.
π AaaS (Agent as a Service) > SaaS.
https://t.co/61SbiOw4Z4
"We had no idea our members were confused about a promotion we had running. We learned it through Bev, the shopping AI assistant, and we were able to deploy content overnight."
-- Scott Vandegrift, VP of Product at BJ's Wholesale Club, at Spark.
Delight AI didn't just answer member questions. It surfaced what the funnel couldn't see.
AI agents can give the right answer, surface the right recommendation, and still create friction instead of trust.
Is the missing ingredient really judgement and not accuracy?
Read more about it here: https://t.co/iBcCMDNTOl
We're excited to welcome BJ's Wholesale Club to the Delight Spark stage on May 7.
They are one of the first retailers to go all-in on a truly personalized AI concierge. At Delight Spark, they'll share what that journey actually looks like.
This is the session retail teams won't want to miss.
Save your seat: https://t.co/WUD6UfeUNg