URLCV Platform Documentation
URLCV is an AI Orchestration Layer for recruitment agencies that transforms how you intake, match, deliver, and track candidates. Built specifically for agencies, enterprise users, and compliance-focused teams, URLCV connects structured AI intake → intelligent matching → branded delivery → engagement analytics into one unified workflow.
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📋 On This Page
- Documentation Index
- Platform Overview
- Quick Start
- Documentation Structure
- Who This Documentation Is For
- Candidate Presentation Layer Create branded, trackable URLCV links that replace email attachments and PDFs, giving clients a professional candidate experience with full engagement visibility
- Candidate Management Build and maintain structured candidate profiles with AI-parsed data, attachments, anonymisation controls, and complete work history tracking
- Client & Job Management Organise client companies, hiring manager contacts, and active job openings with structured data that powers AI matching and submission workflows
- Submissions & Tracking Create candidate submissions, share secure URLCV links behind NDAs, and track detailed engagement metrics including views, time on page, and section-level analytics
- AI CV Parsing Automatically extract skills, experience, seniority, compensation, and work history from uploaded CVs using OpenAI GPT-4o, eliminating manual data entry
- AI Job Description Parsing Parse job descriptions into structured requirements including skills, seniority, domain, location, and compensation bands for accurate candidate matching
- AI Candidate Matching Score candidates 0–100 against job requirements using structured signals from parsed CVs and JDs, providing transparent rationale for every match score
- AI Relationship Graph (Beta) Automatically builds a relationship network from CVs and employment histories, identifying who has worked with whom, overlapping companies, teams, time periods, and potential referral paths. Provides relationship confidence scores, shared companies, and AI-generated summaries to help recruiters surface hidden networks, referral opportunities, and context for candidate submissions
- GDPR Audit Trail Complete audit logging system that tracks every action, data access, and change with timestamps, user attribution, and IP addresses for compliance evidence
- Legitimate Interest Assessments (LIA) ICO-compliant LIA management with structured assessments, risk scoring, and automated renewal tracking for lawful processing under GDPR
- Privacy Notices & ROPA Generate and manage privacy notices and Records of Processing Activities (ROPA) with templates, versioning, and distribution tracking
- Consent Management Track granular consent across multiple purposes, manage withdrawals, and maintain evidence of consent with timestamps and audit trails
- Feature overview — What it does and why it matters for agencies
- Step-by-step guides — How to use the feature in your daily workflow
- Best practices — Tips and recommendations for optimal results
- Related features — Connections to other platform capabilities
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📚 Documentation Index
Core Platform Features
AI Automation
Governance & Compliance
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⚡ Platform Overview
URLCV orchestrates the complete recruitment workflow from intake to delivery, eliminating manual steps and tool-switching that slow down agencies.
Structured AI Intake
Upload CVs or paste job descriptions and URLCV instantly extracts skills, experience, compensation bands, seniority, locations, and complete work history into clean, searchable data. No spreadsheets, no re-keying, no manual parsing.
AI Matching & Scoring
Candidates are automatically scored 0–100 against job requirements using structured signals from parsed CVs and JDs. Every score includes transparent rationale showing why a candidate matches, so recruiters know exactly who to shortlist without manual spreadsheet scoring.
AI Relationship Graph
Automatically detect which candidates have worked together, at which companies, for how long, and when. Surface warm introductions, find referral paths, and add relationship context to submissions that demonstrates deep market knowledge and reduces client risk.
Branded URLCV Delivery Behind NDA
Ship anonymised or full candidate profiles through secure, branded URLCV links. Each link includes notes, salary, availability, attachments, and NDA gating — all in one shareable URL that replaces email attachments and fragmented communication.
Engagement Analytics
Track what clients viewed, for how long, and who is actually interested. See views, time on page, sections viewed (skills, summary, documents, feedback), plus per-submission history with privacy-safe hashing. You see engagement; clients see accountability.
Enterprise-Grade Compliance
Built-in GDPR compliance with complete audit trails, legitimate interest assessments, privacy notice management, and consent tracking. Evidence lawful processing, respond to SARs, and maintain regulatory compliance without external tools.
Workflow Orchestration Benefits
By connecting intake, scoring, relationship mapping, packaging, and delivery into one AI-powered platform, recruiters and hiring teams stay aligned while hours of manual work disappear. Fewer tools, faster submissions, clearer ROI.
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🚀 Quick Start
For installation and setup instructions, see the README.md in the project root.
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📖 Documentation Structure
Each documentation page provides:
👥 Who This Documentation Is For
Recruitment Agencies
Learn how URLCV transforms candidate intake, matching, relationship discovery, and delivery workflows to reduce manual work and improve client engagement
Recruiters & Sourcers
Step-by-step guides for daily workflows including CV parsing, candidate matching, relationship mapping, submission creation, and engagement tracking
Legal & Compliance Teams
Complete coverage of GDPR features including audit trails, legitimate interest assessments, privacy notices, ROPA, and consent management
Agency Owners & Operations Managers
Platform capabilities, workflow orchestration benefits, compliance management, and enterprise-ready features
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Feature maturity markers: Stable, Beta, Experimental Last updated: 2025-11-19