Nikita Miller, Chief Product Officer at Perk, argues that artificial intelligence succeeds in business travel when it operates invisibly. Speaking as a judge for the Skift IDEA Awards, Miller emphasizes that the best travel tech doesn't showcase flashy algorithms or complex machine learning. Instead, the strongest solutions reclaim human time and decision-making authority.
Miller's perspective challenges the industry's fixation on AI visibility. Travel companies often spotlight their technological prowess, but Miller contends this misses the point. When AI genuinely serves travelers and corporate procurement teams, users stop noticing the technology altogether. They simply experience faster approvals, smarter itinerary suggestions, and streamlined expense management without friction.
This philosophy reshapes how companies should evaluate travel technology investments. Rather than asking "What can our AI do?", organizations should ask "What human work does this eliminate?" The distinction matters for corporate travel managers drowning in booking requests, policy compliance checks, and vendor negotiations. If AI handles routine decisions and flags only truly complex exceptions, it multiplies human productivity without replacing human judgment where it counts.
Perk, a corporate travel expense management platform, applies this principle through automated approval workflows and intelligent compliance monitoring. The system learns company policies and traveler patterns, reducing manual review cycles. When employees book within guidelines, nothing triggers alarm. When they deviate, the system flags appropriately, letting humans decide context-dependent choices.
For business travelers themselves, invisible AI means fewer booking headaches. Smart recommendations based on airline preferences, hotel loyalty memberships, and past itineraries appear naturally within search flows rather than as overtly "AI-powered" features. The traveler gets a faster, more personalized experience without feeling surveilled by algorithms.
As AI adoption accelerates across travel platforms, Miller's benchmark proves increasingly relevant. Airlines, hotel chains, and booking engines compete on feature count and processing speed. The winners will