Struggle to execute personalization at scale.
You have the data and the tools. You're still hand-building variants and chasing approvals, but 56% of consumers can spot the AI-generated content anyway. 40% say it's eroding their trust in your brand.
Corinthia Hotels solved this infrastructure problem with MSQ DX: a 7-agent system on Optimizely Opal running 5 personas across 14 lifecycle stages, every variant QC'd and brand-approved before it ships
Here's what it took to get there.
See what AI personalization looks like in practice. And live demos of Autonomous Personalisation and Dynamic Experiences Beta.
See what each agent does, how they coordinate, and what the workflow looks like end-to-end. Real architecture, not slides about AI potential.
Corinthia's QC agent reviews every output before anything ships. See how to not lose brand control even without a human reviewer in the loop.
Variants are produced offline, ahead of time. No PII ever enters the AI layer. The privacy guarantee is built into the system.
6,384 mapping points and variants built on where a guest actually is in Corinthia Hotel's journey right now. See how to map signals to content at scale.
Agenda
2:00 pm - 2:10 pm UTC
Consumers can spot AI slop, and it's costing you their trust. Closing that gap takes infrastructure, not better prompts.
2:10 pm - 2:40 pm UTC
A practitioner's view into each agent — how it works, what it produced, and what they'd do differently.
2:40 pm - 2:50 pm UTC
Two exciting updates from the product roadmap on how you can personalize autonomously and create dynamic 1-1 experiences.
2:50 pm - 3:00 pm UTC
Your questions, answered by the practitioners who built AI personalization for Corinthia Hotels.
Speakers
The people on stage are already living what they're talking about—making AI personalization work and driving real results. Take a peek at who you'll see at the virtual event.
