Regulatory FAQ Bot

AI-powered compliance assistant that answers questions about 343 regulatory frameworks (GDPR, SOC 2, ISO 42001, EU AI Act, HIPAA, PCI DSS, NIST AI RMF, and more). Every response cites specific regulation text so you can verify and share with auditors.

How It Works

The Regulatory FAQ Bot uses Retrieval-Augmented Generation (RAG) to ensure answers are grounded in authoritative regulation text:

Your question is embedded using the same model as the regulation corpus (text-embedding-3-small, 1536 dimensions)
Vector similarity search finds the most relevant chunks from the regulation corpus (cosine similarity, top-5 chunks above 0.75 threshold)
Each chunk is enriched with contextual metadata: issuing authority, penalty summary, effective date, and enforcement action history
An LLM generates a cited answer using only the retrieved regulation text as context
Citations are returned with chunk references so you can trace every claim to its source

Corpus Coverage

Metric	Value
Active regulations indexed	343
Regulation provisions chunked	980+
Total embedded chunks	~10,000
Embedding model	text-embedding-3-small (1536d)
Chunk size	~800 tokens
Vector index	IVFFlat (cosine similarity)

Using the FAQ Bot

Via the Web UI

Go to Compliance > Regulatory Intelligence > FAQ Bot
Ask any compliance question:
- “What is the maximum fine under Article 83(5) GDPR?”
- “What must a SOC 2 Type II auditor test under CC6.1?”
- “Which EU AI Act obligations map to ISO 42001 Annex A controls?”
- “Has there been a GDPR enforcement action over AI-generated content?”
The bot provides:
- Direct answer grounded in regulation text
- Specific regulation citations with article/section references
- Enforcement precedent where relevant
- Your organization’s compliance status against cited requirements

Via the MCP Tool

The ask_regulation MCP tool exposes the same RAG pipeline for programmatic access:

{
  "name": "ask_regulation",
  "arguments": {
    "question": "What are the transparency obligations under EU AI Act Article 50?",
    "framework_slugs": ["eu_ai_act"]
  }
}

Parameters:

Parameter	Type	Required	Description
`question`	string	Yes	The regulatory question to answer
`framework_slugs`	string[]	No	Filter to specific frameworks (e.g., `["gdpr", "eu_ai_act"]`). Omit to search all 343 frameworks

Response includes:

answer: The grounded answer with inline citations
sources: Array of source chunks used, each with chunk_id, framework_slug, heading, similarity_score, and metadata

Via gRPC

The AskRegulatory RPC on the NeuralEngine service accepts an AskRegulatoryRequest:

message AskRegulatoryRequest {
  string question = 1;
  repeated string framework_slugs = 2;
  string conversation_id = 3;  // optional: for follow-up questions
}

Question Types

Factual Lookup

Direct questions with specific regulatory answers:

Q: What is the maximum administrative fine under Article 83(5) GDPR?
A: Up to EUR 20,000,000 or up to 4% of the total worldwide annual
   turnover of the preceding financial year, whichever is higher.

   Citation: GDPR Article 83(5)

Obligation Identification

“What must we do?” questions:

Q: What documentation does ISO 42001 Clause 7.5 require for AI management systems?
A: Organizations must maintain documented information for:
   - AI policy and objectives
   - AI risk assessment methodology and results
   - AI risk treatment plans
   - Statement of applicability referencing Annex A controls
   ...

   Citation: ISO/IEC 42001:2023, Clause 7.5

Cross-Framework Comparison

Questions spanning multiple regulations:

Q: How do GDPR data protection impact assessments compare to
   EU AI Act conformity assessments?
A: Both require pre-deployment risk analysis, but they differ in scope:
   - GDPR DPIA (Art. 35): focuses on data processing risks to individuals
   - EU AI Act conformity (Art. 43): focuses on AI system risks across
     health, safety, and fundamental rights
   ...

   Citations: GDPR Article 35, EU AI Act Article 43

Enforcement Precedent

Questions about real enforcement actions:

Q: What was the largest GDPR fine related to AI processing?
A: In January 2023, the Irish DPC fined Meta EUR 390 million for ...

   Citation: GDPR enforcement action record, Irish DPC Decision IN-18-12-2

Quality Assurance

The Regulatory FAQ Bot is validated against a fixed evaluation set of 50 representative questions across 20 major frameworks.

Eval Methodology

Category	Questions	Description
Factual lookup	15	Direct questions with specific answers from regulation text
Obligation identification	15	”What must [entity] do under [provision]?”
Cross-framework	10	Questions spanning multiple regulations
Enforcement precedent	10	Questions about enforcement actions and cases

Quality Metrics

Metric	Description	Threshold
Faithfulness	Every claim traces to a cited chunk	>= 0.90
Citation precision	Cited chunks match expected sources	>= 0.75
Citation recall	Expected sources appear in citations	>= 0.70
Answer completeness	Information coverage vs ground truth	>= 0.80
Latency (p95)	End-to-end response time	<= 4,500ms

The eval harness runs on a weekly schedule and produces a dated report. Results are committed to the repository for audit traceability.

Frameworks Supported

The FAQ Bot covers 343 active regulatory frameworks across multiple domains:

AI Governance: EU AI Act, ISO 42001, NIST AI RMF, South Korea AI Basic Act, China AIGC Regulations, Brazil Marco Legal de IA, UK AI Framework, Colorado AI Act
Data Privacy: GDPR, CCPA/CPRA, India DPDP, LGPD, Singapore PDPA
Information Security: ISO 27001, SOC 2, NIST CSF, CIS Controls v8, Cyber Essentials
Healthcare: HIPAA, HITRUST
Financial: PCI DSS, SOX ITGC, DORA
Government: FedRAMP, CMMC, NIST 800-171
Bias & Fairness: NYC Local Law 144, Illinois BIPA
And 300+ more across all jurisdictions

Saving Conversations

Questions and answers are automatically saved to conversation history:

Follow-up questions maintain context from previous exchanges
Conversations are accessible from Compliance > FAQ Bot > History
Export conversations for training or audit documentation