You’re exhausted after a day of travel, finally get to the hotel, and the front desk says, “We don’t have your payment details on file.” Suddenly, you’re digging for a personal card, waiting for approvals, or, worse, watching your room get reassigned. Every minute spent sorting out a payment issue isn’t just frustrating for travelers; it’s wasted time, hidden costs, and extra work for finance operations teams.
This is where Navan comes in with our new AI-powered check-in solutions for credit card authorizations (CCA) and late-night check-ins, a game-changer for travelers and finance teams. By leveraging our newest agentic AI, Navan is automating, verifying, and confirming hotel payments in advance for travelers — delivering measurable savings in time and money while offering a smooth experience for travelers. But that’s not all — our agentic AI also monitors hotel bookings and proactively notifies hotels of late arrivals, ensuring travelers are never left without a room.
Navan’s agentic AI isn’t just AI for AI’s sake, it was designed in response to feedback from travel admins who deal with CCA and late-night check-in issues every day. It isn’t just another background process either — it interacts with hotels, eliminating the “last-mile” failures. Navan’s deep experience integrating hotel, payment, and itinerary data means problems are solved before they happen.
Here’s what sets it apart:
This is currently rolling out for Navan Expense customers across North America in English, with plans to expand to support additional countries and languages. With Navan, experience smooth check-ins, protection, and freed-up finance teams — powered by Navan Cognition, the proprietary AI framework built for business travel at scale.
This content is for informational purposes only. It doesn't necessarily reflect the views of Navan and should not be construed as legal, tax, benefits, financial, accounting, or other advice. If you need specific advice for your business, please consult with an expert, as rules and regulations change regularly.