Frequently Asked Questions

VirtualBackroom.ai is designed for:

• Quality Assurance Professionals - Managing QMS documentation and audit preparation
• Regulatory Affairs Specialists - Navigating complex regulatory requirements
• Compliance Officers - Ensuring organizational compliance
• QMS Consultants - Serving multiple clients with scalable AI tools

The FDA's new Quality Management System Regulation (QMSR) replaces the legacy Quality System Regulation (QSR) with a compliance deadline of February 2, 2026. QMSR incorporates ISO 13485:2016 by reference, requiring companies to update their QMS documentation and processes. Companies not compliant by this date may face regulatory action during FDA inspections.

Our AI analysis uses multiple approaches to maximize accuracy:

• Multi-Model Consensus - Council Mode consults 8 specialized AI models and synthesizes their perspectives
• Hallucination Detection - Built-in pattern recognition identifies uncertain or potentially unreliable responses
• Citation Verification - All regulatory citations are validated against known standards
• Confidence Scoring - Each response includes a confidence score to help you assess reliability

We integrate 11 leading SOTA AI models via OpenRouter for diverse, multi-perspective analysis:

Our AI Validation Service uses multiple techniques:

• Pattern Recognition - Identifies uncertain language patterns (e.g., "I think", "possibly", "might be")
• Citation Cross-Reference - Verifies regulatory references against our indexed standards database
• Multi-Model Comparison - Flags divergent responses when models disagree significantly
• Confidence Thresholds - Low-confidence responses are flagged for human review

VirtualBackroom.ai implements controls aligned with 21 CFR Part 11 requirements for electronic records:

• Audit Trail - All AI interactions are logged with user attribution, timestamps, and SHA-256 hashing
• Data Integrity - ALCOA+ principles (Attributable, Legible, Contemporaneous, Original, Accurate) are applied
• Record Immutability - Audit records are locked after creation with chain integrity verification
• User Attribution - Every action is tied to an authenticated user

Note: Final compliance determination requires validation within your specific regulated environment.

ALCOA+ is the FDA's data integrity framework:

• Attributable - Know who performed the action
• Legible - Data must be readable and permanent
• Contemporaneous - Recorded at time of activity
• Original - First-hand source data
• Accurate - Error-free and truthful

The "+" adds: Complete, Consistent, Enduring, and Available.

For AI systems, we apply ALCOA+ by logging the user, timestamp, AI model, prompt, response, and hashes for every interaction.

Access the AI Audit Trail dashboard at /ai-audit/ to view:

• Interaction History - Your AI query history with timestamps and model information
• Provider Statistics - Success rates, average latency, and fallback usage
• Feature Analytics - Usage patterns across platform features
• Integrity Status - Record verification and chain integrity

Council Mode is our multi-model AI consultation feature. Instead of relying on a single AI's opinion, Council Mode queries 8 specialized AI models simultaneously and synthesizes their responses into a consensus view. This approach:

• Reduces single-model bias
• Identifies areas of high agreement (confidence)
• Flags divergent opinions for human review
• Provides weighted consensus recommendations

Gap Analysis allows you to upload your existing QMS documents (PDF, DOCX, TXT) and receive AI-powered compliance analysis:

1. Upload - Submit your SOPs, policies, or procedures
2. Analysis - AI evaluates against QMSR/ISO 13485 requirements
3. Scoring - Receive a readiness score (0-100%) per document
4. Recommendations - Get prioritized action items with effort estimates
5. Export - Download PDF reports for management review