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Bringing AI in at Navan

Link feedback on hotel search to a failing surface before review

You’re the product manager. Your team is in the room. Printed Oct 17, 2026.

Hotel feedback arrives faster than the team can turn it into a shared product problem.

Conversation detail protects traveler context, while recurring themes are needed to focus the next hotel decision.

Who you’d be doing this for

“I left the chat after it kept showing hotels that sounded fine but didn’t fit my meeting.”

Martina Lewandowski · Frequent Business Traveler

Books hotels for work through a corporate travel program and relies on conversational guidance when trip constraints change.

What is at stake

Hotel-search feedback points to several possible failures, so recurring traveler friction is not reaching one shared problem statement. You must decide what AI groups, what PMs verify, and what evidence is strong enough to guide the next experiment.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • speed of synthesis vs. evidence a PM can inspect
  • open-ended traveler feedback vs. measurable hotel surfaces
  • AI grouping vs. product judgment
  • traveler context vs. permissioned access

Why Navan

Navan Edge depends on travelers trusting conversational hotel guidance through search, comparison, and booking.

Written with these in mind

forward deployed AI engineerproduct-minded solutions engineerapplied AI workflow designer

Not your kind of problem? 54 more at Navan, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.