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Clagghaus Consulting
Home
Services
About
Case Studies
  • Case Studies
  • AI & Emerging Tech
  • Supplier Intelligence
  • Technology Strategy
  • Data and Analytics
  • Duty of Care
  • Automation
  • Traveler Experience
  • Comms & Engagement
  • ESG Rreporting
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  • Home
  • Services
  • About
  • Case Studies
    • Case Studies
    • AI & Emerging Tech
    • Supplier Intelligence
    • Technology Strategy
    • Data and Analytics
    • Duty of Care
    • Automation
    • Traveler Experience
    • Comms & Engagement
    • ESG Rreporting
  • Home
  • Services
  • About
  • Case Studies
    • Case Studies
    • AI & Emerging Tech
    • Supplier Intelligence
    • Technology Strategy
    • Data and Analytics
    • Duty of Care
    • Automation
    • Traveler Experience
    • Comms & Engagement
    • ESG Rreporting

AI-Powered Tools & Insights

AI Strategy and MVP Definition for a Travel Intelligence Platform

Client Challenge

Client Challenge

Client Challenge

  

A corporate travel engagement platform with broad enterprise adoption needed to move from AI ambition to execution. Leadership had no shortage of ideas, the challenge was prioritization: identifying which AI opportunities were backed by real data, genuine customer demand, and a viable path to monetization.

They needed an outside-in perspective from someone who had operated a large-scale corporate travel program, and who could evaluate their platform both as a buyer and as a technologist. 

What We Did

Client Challenge

Client Challenge

  

Led a focused multi-day AI strategy engagement with platform leadership. Audited the client's current capabilities, data assets, and integration landscape against a structured scan of unmet needs across travel teams, travelers, and suppliers.

Delivered a prioritized opportunity framework, a set of scored MVP candidates across buyer and supplier tracks, a monetization strategy organized around three core revenue pillars, and a customer validation methodology ready for immediate use with the client's existing accounts. 

Impact

Why This Matters

Why This Matters

  • Opportunity framework delivered: pain points across all platform audiences mapped to unique data assets
  • Strategic memos produced identifying where the platform has a defensible right to win
  • Three core monetization pillars identified and prioritized
  • Multiple MVP candidates defined and scored across buyer and supplier tracks
  • Customer validation framework and scoring methodology developed for next-phase feedback sessions
  • Technical architecture principles established to guide product roadmap 

Why This Matters

Why This Matters

Why This Matters

  Most AI conversations in corporate travel generate slide decks, not decisions. The platforms and programs that will win are those that can translate AI potential into specific, prioritized scenarios tied to real customer pain, defensible data, and a monetization model that survives a CFO conversation. Getting there requires someone who has operated on both sides of the table — and can tell the difference between a compelling demo and something that will actually ship. 

Applying AI and Machine Learning Across the Travel Program Value Chain

Client Challenge

Client Challenge

Client Challenge

 AI potential in corporate travel is well understood in theory but poorly executed in practice. Programs struggle to identify where AI creates genuine value versus where it adds complexity, and supplier clients lack a structured framework to evaluate feasibility, prioritize use cases, and define an AI product roadmap that can actually ship. 

What We Did

Client Challenge

Client Challenge

Applied AI and ML across multiple layers of the travel program: 

  • Copilot to assist DAX generation and narrative insights in Power BI
  • GenAI implementation for a corporate travel information bot
  • AI-driven hotel, restaurant, and destination recommendations in web and mobile applications powered by itinerary and profile data
  • ML-based traveler persona analysis and application
  • LLM analysis of survey responses and helpdesk tickets to surface and track themes and risk signals at scale.
  • AI-powered risk scoring and auto-approval automation of expense item submissions


For supplier clients, delivered AI MVP strategy consulting: opportunity mapping across the travel value chain, feasibility assessment, go-to-market positioning, and 3–6 month execution roadmaps — covering use cases including supplier review aggregation, hotel/airline performance intelligence, and contract utilization insights for travel managers.

Impact

Why This Matters

Why This Matters

  • AI-assisted BI accelerated insight creation and reduced DAX development time
  • Natural language travel policy queries handled by conversational AI at scale
  • Personalized trip recommendations powered by behavioral data — live in production
  • Free-text survey and helpdesk data mined for themes previously invisible to program teams
  • Structured AI MVP roadmaps delivered to supplier clients with prioritized use cases and execution plans

Why This Matters

Why This Matters

Why This Matters

 Most AI conversations in corporate travel are either hype or anxiety. The corporate programs and suppliers that will win are those that can translate AI capability into specific, implementable use cases tied to measurable program outcomes — and build the data infrastructure required to support them. The competitive advantage isn't access to AI; it's knowing exactly where to aim it. 

Contact us for more information

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