AI-Powered Credential Compliance Engine
Automates the entire credential lifecycle through a multi-agent AI pipeline that extracts data from credential documents using OCR and vision AI, verifies credentials against authoritative databases, analyzes compliance risks and expiration timelines, generates prioritized action recommendations, and enables autonomous workflow execution for renewals and notifications..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Credential Compliance Dashboard - Portfolio compliance overview
Document Intelligence - OCR extraction and verification results
Risk Analysis - Compliance scoring and expiration timeline
Action Recommendations - Prioritized renewal workflow
AI Agents
Specialized autonomous agents working in coordination
Compliance Orchestrator
Processing credentials for multiple consultants requires coordinated execution across extraction, verification, analysis, and recommendation phases with proper error handling and progress tracking.
Core Logic
Coordinates the 5-phase processing pipeline: Input Validation (0-10%), Data Extraction (10-35%), Verification (35-60%), Analysis (60-85%), and Recommendations (85-100%). Manages task queues, handles error recovery with retry logic, tracks metrics, and maintains audit logs. Uses GPT-4 Turbo with 128K context window, temperature 0.3 for consistent orchestration.
Document Intelligence Agent
Credential documents come in various formats (PDFs, images, scans) with inconsistent layouts. Manual data entry is error-prone and does not scale.
Core Logic
Processes credential documents using GPT-4 Vision for OCR and entity extraction. Classifies document types (bar certificate, insurance policy, CLE transcript), extracts structured data (holder name, credential number, jurisdiction, dates, issuing authority), validates format integrity, and achieves 96%+ extraction confidence. Uses temperature 0.1 for accuracy.
Verification Specialist
Extracted credential data must be verified against authoritative sources to confirm validity, active status, and prevent fraudulent credentials.
Core Logic
Cross-references extracted data against licensing board databases (SRA for UK, state bars for US, insurance provider APIs). Performs database matching, validates active status, checks expiration validity, and authenticates document format. Returns verification status with confidence scores and source timestamps. Uses Claude 3.5 Sonnet with 200K context for complex verification reasoning.
Risk Analyzer
Credential data needs to be analyzed for compliance risks, expiration patterns, and portfolio-level vulnerabilities that require proactive intervention.
Core Logic
Performs compliance scoring and risk assessment across the consultant portfolio. Calculates risk scores based on expiration timelines (expired: +40, <30 days: +25, <60 days: +10), identifies patterns and anomalies, generates risk level classifications (low/medium/high/critical), and produces predictive analytics for future compliance gaps. Uses Claude 3 Opus for sophisticated analysis.
Action Recommender
Compliance findings need to be translated into prioritized, actionable recommendations with clear ownership, timelines, and expected outcomes.
Core Logic
Generates prioritized action plans from analysis results. Creates recommendations for immediate renewals (critical), proactive renewals (high), and process improvements (low). Estimates effort levels, timelines, and affected consultants. Supports autonomous action preparation including renewal requests, client notifications, compliance alerts, and workflow triggers. Uses GPT-4 Turbo for recommendation synthesis.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization