Champ Travel

AI Audit for Champ Travel: Mapping the Future of a Luxury Concierge

Back to all case studies

champ travel

Context

Founded in 2017 in Hong Kong, Champ Travel is a luxury concierge and travel management company serving Ultra High Net Worth Individuals (UHNWI). Operating on a subscription model with 24/7 service via encrypted messaging, the company manages a broad offering that spans private travel, luxury purchases, event organization, and complex special projects such as surrogacy coordination. The team of approximately 15 people is spread across three time zones, with client relationships built on the intimacy and discretion of a family office extension.

As the company entered a new growth phase, Champ Travel mandated NSI to conduct a comprehensive AI audit of its operations. The objectives were to map existing business processes, assess the organization’s AI maturity, and identify concrete integration opportunities that would accelerate productivity while respecting a fundamental constraint: AI must never interact directly with VIP clients.

Solutions PROPOSED

Conducting a structured AI audit over four working sessions, combining semi-structured interviews with key stakeholders and Level 2 swim lane process mapping on Miro across all core operational workflows.


Producing a detailed audit report with prioritized AI recommendations, each including ROI estimates, effort sizing, technical architecture, and a phased implementation roadmap tailored to Champ Travel’s growth context.

Gains

  • Eight core business processes fully documented and mapped (Sales, Onboarding, Concierge Operations, Travel Reservations, CRM & Administration, Special Projects, HR, and Marketing), giving the leadership team visibility over the organization.
  • Nine prioritized AI recommendations formalized, each with a detailed scope, technical architecture, estimated ROI, development effort, and prerequisites, turning abstract AI ambitions into a concrete investment plan.
  • A structured 3-phase roadmap delivered, sequencing the recommendations over 6 to 8 months (Foundations, Automation, Transformation) to balance quick wins with long-term operational transformation.




Satisfaction and achievement of objectives

Satisfaction with interventions

TESTIMONIAL