* Raised data and AI literacy among senior leadership
 
* Eliminated data silos and improved data quality with AI-powered integration and cleansing
* Established privacy-first AI and data governance, using AI for compliance monitoring
 
* Deployed AI solutions for personalisation and F&B database management in strategic locations
 
* Built a robust, compliant AI foundation for ongoing innovation

We conducted a structured AI Readiness Assessment in collaboration with senior leadership and key operational stakeholders.
 
This process evaluated the organisation’s preparedness for AI integration across critical dimensions, including:
 
* Existing data infrastructure and technology stack
* Data quality and accessibility across property management, reservations, and F&B platforms
 
* Current data privacy protocols and compliance documentation
 
* Organisational culture and openness to AI-driven change
* Identification of operational pain points and high-impact opportunities for AI adoption
 
The assessment provided a clear view of strengths, gaps, and priority areas for AI, forming the foundation for targeted action.

We designed and developed Minimum Viable Products (MVPs) to rapidly validate AI solutions for the most impactful use cases:
 
* Guest Data Unification MVP: Combined data from multiple platforms, using AI to merge, deduplicate, and enrich guest records, creating a single source of truth.
 
* Data Quality Automation MVP: Introduced AI-driven tools to automatically detect and correct inconsistencies in guest and F&B records.
 
* Personalisation Engine MVP: Launched targeted communications and F&B promotions powered by AI, driving measurable increases in guest engagement.
 
* Compliance Monitoring MVP: Deployed AI-based monitoring to ensure all data flows and models adhered to privacy and regulatory standards.
 
Each MVP was tested in selected properties and F&B outlets, with rapid feedback cycles to refine the solutions and demonstrate clear business value.