AI Compliance Intelligence System
Employs RAG-powered AI agents that semantically search compliance standard databases, compare customer requirements against regulatory sections, identify gaps with citation evidence, and generate comprehensive qualification roadmaps with test plans and cost estimates..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Configuration - Upload specifications and select regulatory standards for analysis
Gap Analysis - Real-time compliance gap identification with severity ratings
Results Dashboard - Compliance findings categorized by DO-160G, MIL-STD standards
Final Report - Qualification roadmap with test plans and cost estimates
AI Agents
Specialized autonomous agents working in coordination
Standards Retrieval Agent
Regulatory standards span hundreds of sections across multiple documents, making manual lookup inefficient and incomplete.
Core Logic
Performs semantic search across vectorized standards databases using embedding models. Retrieves relevant sections with similarity scoring, cross-references related requirements across standards, and maintains a cache of frequently accessed sections for faster retrieval.
Requirement Extractor Agent
Customer specifications contain requirements scattered across multiple documents in various formats without standard structure.
Core Logic
Parses uploaded customer documents to extract testable requirements, categorizes requirements by standard applicability (environmental, EMI, NVIS), identifies implicit requirements from contextual analysis, and generates structured requirement lists with traceability IDs.
Gap Analyzer Agent
Identifying gaps between customer requirements and regulatory compliance requires expert comparison across numerous specification clauses.
Core Logic
Compares extracted requirements against relevant standard sections using semantic matching. Identifies full compliance, partial compliance, and non-compliance with confidence scores. Generates gap findings with specific citations, severity ratings (critical/high/medium/low), and remediation guidance.
Test Planner Agent
Qualification test plans require mapping gaps to specific test procedures, estimating durations, and sequencing for efficiency.
Core Logic
Generates test plans addressing identified gaps with specific test procedures from applicable standards. Estimates test durations and costs based on historical data, optimizes test sequencing to minimize fixture changes, and identifies opportunities for combined testing.
Cost Estimator Agent
Qualification costs are difficult to estimate accurately without understanding test complexity, equipment needs, and certification fees.
Core Logic
Calculates qualification costs including test lab fees, equipment rental, engineering labor, documentation, and certification authority charges. Provides itemized breakdowns and identifies cost reduction opportunities through test consolidation or leveraging existing qualification data.
Roadmap Generator Agent
Qualification programs require detailed schedules accounting for test dependencies, resource availability, and certification milestones.
Core Logic
Generates Gantt-style qualification roadmaps with phase dependencies, milestone dates, and resource allocation. Identifies critical path items, highlights schedule risks, and provides scenario analysis for expedited versus standard timelines.
Audit Reporter Agent
Compliance analysis must be fully auditable with traceable reasoning, citations, and decision rationale for regulatory review.
Core Logic
Generates comprehensive audit trails documenting all agent decisions with supporting evidence. Creates exportable compliance packages including gap matrices, test plans, cost estimates, and roadmaps suitable for customer delivery or certification authority submission.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization