Sarawak Tourism Board (STB)
Blackstone AI demonstrated how AI-powered systems using small language models (SLMs) can operate locally without relying on constant internet connectivity.
Unlike large cloud-based systems, locally deployed AI models can run directly on GPU-powered devices, allowing intelligent applications to function even in areas with limited or unstable internet access.
This opens the door to building offline-capable digital tools specifically designed for remote tourism environments.
AI Agent Development
Malaysia
2026
Blackstone AI held a strategic discussion with YB Dato Dennis Ngau, Chairman of the Sarawak Tourism Board (STB), to explore how artificial intelligence can support tourism development in remote destinations across Sarawak.
The session focused particularly on Mulu, a region internationally known for its spectacular cave systems and natural landscapes. While Mulu attracts global attention, many surrounding micro-destinations—such as smaller homestays, eateries, and local activity providers—remain largely undiscovered.
The meeting explored how AI-powered digital tools could improve visitor accessibility, local business visibility, and tourist safety in areas with limited internet connectivity.
Summary
Blackstone AI demonstrated how AI-powered systems using small language models (SLMs) can operate locally without relying on constant internet connectivity.
Unlike large cloud-based systems, locally deployed AI models can run directly on GPU-powered devices, allowing intelligent applications to function even in areas with limited or unstable internet access.
This opens the door to building offline-capable digital tools specifically designed for remote tourism environments.
Challenge
Sarawak’s tourism sector includes many remote and ecologically sensitive regions. These areas offer unique experiences but often face infrastructure limitations, particularly in terms of digital connectivity.
Challenges identified during the discussion included:
Limited internet access in remote tourism locations
Difficulty for small local businesses to promote their services online
Lack of centralized information for tourists exploring smaller attractions
Limited communication options for visitors in emergency situations
Difficulty discovering micro-destinations beyond well-known landmarks
While destinations like Mulu’s caves are internationally recognized, the broader ecosystem of local experiences—homestays, food spots, cultural activities, and hidden attractions—often lacks visibility.
This creates a gap between tourist demand for authentic experiences and the ability of local communities to reach those visitors.
Solutions
1. Offline AI Tourism Assistant
One proposed solution is an offline AI chatbot interface that visitors can access through a mobile application.
The assistant could help tourists:
Discover nearby homestays and eateries
Explore hidden attractions and cultural sites
Get recommendations for local activities
Access travel information even without internet connectivity
Because the system runs locally using smaller AI models, it can function even in remote areas.
2. Smart Tourist Navigation
Navigation in remote areas can be challenging, especially in dense rainforest environments or unfamiliar terrain.
An AI-assisted navigation system could integrate:
Offline maps
GPS-based positioning
AI-guided location assistance
This would help tourists safely explore remote locations and reduce the risk of visitors getting lost.
3. Micro-Tourism Ecosystem Visibility
The solution also addresses the challenge of visibility for smaller tourism operators.
Through a digital platform powered by AI, local businesses could be included in an ecosystem that showcases:
Homestays
Local food establishments
Community-led experiences
Cultural activities
Tourists would gain greater flexibility in choosing how they explore the region, while local communities gain increased economic participation.
4. Emergency Communication Support
In remote tourism locations, communication during emergencies can be difficult.
An AI-assisted interface could help visitors:
Access important safety information
Send structured emergency messages
Locate assistance points
This adds an additional layer of safety for travelers exploring remote destinations.
