01 / DENSE REGULATIONS
Interconnected regulations
Policies, decrees, and training regulations span hundreds of pages across multiple academic years, creating high cognitive load for staff.
Early-stage EdTech · Vietnam
AI workflows built for the complexity of higher education.
HieuDaoTao is an early-stage AI platform focused on understanding academic regulations and turning complex higher-education documents into source-grounded, human-verified workflows.
Academic regulations
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AI-assisted reasoning
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Cited answers
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Human verification
Working prototype deployed · Human-in-the-loop by design · Built for Vietnamese higher education contexts
HieuDaoTao Workspace
Policy Intelligence Review
Live Prototype
quy-che-dao-tao-mau.pdf
3 pages · Vietnamese regulation
Analyzed
What are the graduation eligibility conditions in this regulation?
AI-assisted answer
Graduation eligibility is defined in Article 18. Students are recognized for graduation when their cumulative GPA reaches 2.00 or higher on a 4.0 scale and they satisfy the foreign language exit benchmark.
Page 3 · Art. 18, Cl. 1
✓ Verified against source
Human verification notice: AI-assisted output. Verify all conclusions against official institutional documents.
The problem
Academic administration runs on interconnected regulations, fragmented documents, and manual verification.
Higher-education operations cannot rely on generic chatbots or unverifiable summaries. Every operational interpretation carries institutional responsibility.
02 / FRAGMENTED SOURCES
Fragmented policy documents
Guidelines, admissions circulars, procedural notices, and amendments are scattered across departments, spreadsheets, and file drives.
03 / MANUAL OVERHEAD
Costly manual cross-checking
Staff expend hours searching manually to reconcile conflicting clauses, verify exceptions, and cross-reference conditions before advising students.
04 / TRACEABILITY GAP
Difficult source traceability
Informal advice or generic AI tools lack citations back to authoritative clauses, making answers risky to rely on for administrative actions.
Core workflow
From dense academic documents to human-verified decisions.
A structured, traceable pipeline built around verifiable evidence and human oversight.
Step 01
Institution documents
Ingest official academic regulations, admission policies, circulars, and operational guidelines in text-based PDF format.
Step 02
Document extraction & reasoning
Page-by-page text parsing, structured context formatting, and policy-grounded AI reasoning across interconnected clauses.
Step 03
Grounded output
Synthesize structured answers with specific clause citations, 1-based page numbers, and verbatim supporting evidence.
Step 04
Server verification & human review
Server-side quotation verification independently checks evidence against source text before accountable staff review.
Working prototype
Working prototype & live validation
HieuDaoTao now has a deployed working prototype for academic policy intelligence. Upload a text-based academic regulation PDF, ask a policy question, and review a source-grounded answer with page-level supporting evidence.
Live prototype · Deployed at prototype.hieudaotao.io.vn
Long-document policy analysis
Processes text-based institutional regulation PDFs with preserved page boundaries.
Grounded Q&A
Answers administrative questions strictly from the supplied document without generic speculation.
Source evidence context
Pinpoints relevant articles, clauses, and 1-based page locations for every substantive claim.
Server-side evidence verification
Independently checks whether each quoted passage exists verbatim in the stated page text.
Human-in-the-loop oversight
Formats outputs for rapid human audit, keeping staff accountable for official administrative decisions.
PDF Document
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Text Extraction & Page Tracking
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AI Reasoning
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Server-Side Quotation Verification
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Human Review
[PDF]
quy-che-dao-tao-mau.pdf
Sample Academic Regulation · 3 pages
SUPPORTED BY DOCUMENT
What are the graduation eligibility conditions in this regulation?
✦ Grounded Answer
Graduation eligibility is defined in Article 18. Students are recognized for graduation when their cumulative GPA reaches 2.00 or higher on a 4.0 scale and they satisfy the foreign language exit benchmark.
“Sinh viên được công nhận tốt nghiệp khi điểm trung bình chung tích lũy toàn khóa đạt từ 2.00 trở lên theo thang điểm 4 và đạt chuẩn đầu ra ngoại ngữ...”
Try the live prototype ↗
Prototype use only. Do not upload confidential or sensitive documents. AI-assisted outputs require verification against the original source.
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Prototype limitations
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Text-based PDFs only: Scanned documents requiring OCR are not yet supported.
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Upload size limits: Individual uploads are currently constrained to 4.5 MB by serverless platform limits.
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Human verification required: AI-generated interpretations assist staff and require review against the original source.
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Non-binding output: Prototype results do not constitute official institutional decisions or legal advice.
Initial use cases
Focused on workflows where context and traceability matter.
We prioritize high-stakes document reasoning before expanding to adjacent administrative tasks.
Academic Policy Intelligence
Understanding academic regulations and producing source-grounded operational answers. In-depth analysis of training regulations, grading rules, graduation criteria, and policy changes across student cohorts with clear clause-level citations.
Admissions Policy Analysis
Extract eligibility requirements, compare policy provisions across admissions cycles, and assist admissions officers with fast, grounded references.
Institutional Knowledge Assistant
Help staff navigate approved internal documentation, procedural handbooks, and operational guidelines without manual cross-document searching.
Administrative Record Review
Assist humans in identifying inconsistencies, missing fields, or conflicting information between student records and official policies.
Why Claude
Technical fit for long-form academic reasoning and verifiable workflows.
HieuDaoTao is designed with a provider-agnostic reasoning layer. We are particularly interested in evaluating Claude for policy-intensive higher-education workflows where long-document reasoning, grounded outputs, structured tool use, and reliable human review are critical.
Long-document reasoning
Academic regulations often contain interconnected requirements distributed across many sections, appendices, and related circulars. Large context windows allow evaluating the complete document without losing cross-article coherence.
Grounded structured outputs
Administrative workflows need outputs that strictly preserve source references and can be transformed into structured review schemas for reliable auditing.
Tool-enabled workflows
Claude can serve as an analytical reasoning layer connecting document retrieval, structured extraction, cross-referencing validation logic, and human review handoff.
Provider-Agnostic Reasoning Architecture
Provider-agnostic architecture · Claude-ready designInstitution documents
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Text extraction & page tracking
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Provider-agnostic AI reasoning
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Structured output
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Server-side verification
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Human review & decision
Note: The current live prototype validates the workflow with a live AI backend (Vertex AI / Gemini), while the architecture remains provider-agnostic and ready for future Claude integration and evaluation.
Evaluation approach
How we evaluate prototype reliability & grounding.
Before considering broader deployment, every workflow must undergo rigorous validation across four fundamental dimensions.
01 / DIMENSION
Answer correctness
Does the output correctly interpret the source regulation without hallucination or distortion of administrative intent?
02 / DIMENSION
Citation accuracy
Do statements point strictly to the authoritative articles, clauses, and appendices, enabling rapid verification by staff?
03 / DIMENSION
Extraction consistency
Are extracted fields, tables, and conditions predictable, schema-compliant, and reproducible across varying document versions?
04 / DIMENSION
Human review efficiency
Can academic staff verify outputs faster while retaining accountability and complete decision authority?
The prototype has completed an initial end-to-end live validation using a sample Vietnamese academic regulation, including server-side verification of supporting evidence. Broader evaluation across real institutional documents is the next step.
Evaluation protocols are designed for collaborative pilot trials. No arbitrary benchmark percentages are claimed.
Product principles
Responsible AI for higher-education operations.
Grounded by sources
Operational answers should point back to the institutional documents they rely on, eliminating untraceable outputs.
Human-in-the-loop
AI supports staff decisions; it should not silently replace accountable human review or official discretion.
Evaluation before scale
We prioritize testing accuracy, traceability, and workflow impact before expanding deployment.
Vietnamese context first
The product is designed around Vietnamese academic terminology, regulations, and administrative practices.
About HieuDaoTao
An early-stage EdTech project for higher-education operations.
HieuDaoTao is being developed from direct exposure to the complexity of higher-education administration, academic documents, admissions workflows, and institutional data in Vietnam.
Our current priority is validating core document reasoning and source-grounding workflows with higher-education practitioners before developing broader institutional tools.
Hieu Dang Van
Founder / Project Lead
Connect on LinkedIn ↗
Pilot program
Help us validate a real higher-education workflow.
Interested in evaluating AI-assisted academic policy workflows? Explore the live prototype or get in touch to discuss a pilot use case.
Try live prototype ↗
hello@hieudaotao.io.vn
Connect on LinkedIn
Exploratory pilot discussions · Non-production evaluation