Normalized claim
Quantified impact: 60% increase
Increased student satisfaction by 60%.
KMITL transforms prospective student guidance with Amazon Bedrock
Use case typeVirtual learning assistantUpdated Jun 13, 2026
King Mongkut’s Institute of Technology Ladkrabang (KMITL) faced challenges managing thousands of prospective student inquiries during open houses, which required significant staff resources. KMITL developed 'Knowva,' a generative AI virtual assistant powered by Amazon Bedrock Knowledge Bases and Anthropic Claude foundation model to provide 24/7 multilingual personalized guidance and consistent program information at scale. The AI assistant answers questions about program information, degree requirements, admission processes, and career prospects instantly and accurately, reducing staff workload and improving student experience. The solution has handled over 6,000 inquiries, reduced response times from hours to minutes, increased student satisfaction by 60%, and enabled faculty to focus on complex needs.
Reported outcomes
+60%
quantified impactCustomer experience
Strategic outcomes
Customer experience & trustProvided 24/7 multilingual student guidanceScale & capacityHandled high inquiry volumes at scaleSpeed & agilityReduced response and wait timesCustomer experience & trustImproved student satisfaction
Catalog median for customer experience deployments: +25% across 53 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- King Mongkut’s Institute of Technology Ladkrabang
- Provider
- AWS
- Maturity
- Scaled Production
- Linked source
- AWS Public Sector Blog
KMITL developed 'Knowva,' a generative AI virtual assistant powered by Amazon Bedrock Knowledge Bases and Anthropic Claude foundation model to provide 24/7 multilingual personalized guidance and consistent program information at scale
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Generative AI
- 2Virtual Assistants
- 3Student Guidance
- Handling high volumes of student inquiries during open houses and exhibitions consumed significant staff time and resources.
- Information sources were scattered and inconsistent across departments.
- Need for scalable, 24/7 personalized, and multilingual student guidance.
- Implemented generative AI virtual assistant 'Knowva' using Amazon Bedrock Knowledge Bases with Anthropic Claude foundation model.
- Built secure AWS environment with the help of AWS partner DailiTech Co. Ltd.
- Developed chat interface and integrated knowledge sources for consistent and accurate responses.
- Enabled instant 24/7 multilingual (Thai and English) support for prospective students.
- Successfully handled 6,000+ inquiries during educational exhibition with hundreds of concurrent users.
- Reduced response and wait times from hours to minutes.
- Increased student satisfaction by 60%.
- Freed faculty from repetitive inquiries, centralizing information management.
- Planned expansion with AI tutoring and campus assistant functionalities.
Architecture
The solution architecture uses Amazon Bedrock Knowledge Bases integrated with Anthropic Claude foundation model to power the 'Knowva' virtual assistant for prospective student inquiries.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: Apr 24, 2025Publisher: AWS Public Sector BlogEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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