For organizations whose data cannot leave the premises: internal Q&A, meeting minutes, approvals, and intelligence monitoring all run inside your own facility. We do more than write software — over a decade of hands-on facility, network, and security engineering is how 30-plus AI projects actually got delivered.
From government compliance, judicial case files, financial personal data to manufacturing trade secrets, the common challenge in 2026 is not whether to use AI, but whether sensitive data can remain on-premises. Below are the most pressing issues encountered by Chang Ruei during our service across various industries.
The Basic Act on AI and MODA's risk classification framework have been implemented, requiring all agencies to conduct a stock-take of public AI risks and establish internal control norms—yet there is a lack of practical methods that align with the official framework while preventing confidential information from leaking.
Over 200,000 cases annually lead to judicial congestion and exhaust human resources for case file interpretation; however, the risk of hallucinations in generative AI makes the judiciary hesitant to adopt it without trustworthy, explainable, and human-governed assistance.
The Financial Supervisory Commission has upgraded AI from an 'application' to a 'governance' item, requiring explainability, human intervention, and protection of large amounts of customer personal data; the introduction of generative AI must also suppress hallucinations and leakage risks.
Employees are using 'shadow AI' to paste confidential information into free tools. With the new MIG 4.1 regulations for electronic invoices and stricter validation, companies want to use AI to improve efficiency but lack AI governance and cybersecurity defenses.
All services share the same on-premises foundation and run entirely within your own facility.Compliance is the entry point, from which governance grows upward and vertical solutions grow into various industries.— not isolated islands, but a single product line.
Categorize your AI systems according to the MODA's 'AI Risk Classification Framework', generate internal control standard documents, and set up a dedicated on-premises AI guardian in your facility for continuous monitoring.
Not everything has to stay in your facility. We first sort out which data absolutely cannot leave and which can be placed elsewhere, put each category in the right place, and produce the evidence auditors need.
Invoices and receipts are automatically converted into structured data, then automatically processed for review, reconciliation, and approval—data never leaves your facility, seamlessly integrating with your existing ERP.
Let 'self-operating' AI agents run under control within your facility — least privilege, every action audited, and instant network cut-off.
On-premises legal AI that keeps case files in your facility — case summaries, evidence retrieval, initial report drafts, with sensitive data never leaving your facility.
From government, policing, and justice to taxation, education, and enterprise, Chang Ruei has built up cross-domain experience in on-premises AI development and deployment.
Smart review assistance for large volumes of drawings and documents — speeds up manual work and reduces oversights.
High-precision image feature extraction and matching, improving identification and verification efficiency.
A knowledge graph of statutes and precedents, with natural-language search and Q&A.
A login-free automated filing tool that removes manual paperwork.
Build-out and deployment of GPU / workstation teaching and research environments.
A web app that auto-calculates quote margins for instant decisions.
Chang Ruei has years of system-integration depth, having built server rooms, networks, and dedicated university computer labs. Because we know how to install systems securely inside your facility, we can put AI there just as solidly.
Servers, storage, virtualization, and redundancy — AI runs on the same architecture we run ourselves.
Networking, firewalls, and security hardening — the safe footing for on-premises deployment.
Virtualization clusters, hybrid cloud, and containerization for flexible compute allocation.
A track record in computer classrooms, media-convergence centers, and interactive classrooms.
GPU server selection and deployment — the compute foundation for on-premises AI inference.
From hardware selection to live operations, end to end, with deep government-procurement experience.
From the physical facility to AI inference, all seven layers run within your own facility. Keeping your data secure and sovereign is the core of what we do.
A 30-minute consultation — see how on-premises AI runs inside your own facility.
Book a 30-minute consultationBook via LINE with our AI assistant, or call (02) 2947-5586 · Email service@crsc.com.tw