AI Executive Resume Parsing Agent

How Cassidy automates executive resume ingestion and parsing using AI

Step 1: Ingest resumes from any source

The Workflow triggers when executive CVs arrive—whether from email attachments, shared drives, LinkedIn exports, or direct uploads—automatically handling PDF, DOC, and scanned image formats.

Step 2: Parse and structure with OCR and layout analysis

Cassidy runs intelligent OCR and layout detection to segment sections (Experience, Board Roles, Transactions, Education) and extract entities like employers, titles, dates, and locations into structured JSON.

Step 3: Enrich with executive-specific signals

The agent identifies P&L accountability, revenue scale, IPO/SPAC involvement, M&A transactions, PE/VC context, and board committee roles—tagging each with confidence scores and source text references.

Step 4: Normalize and deduplicate

Cassidy standardizes titles to function levels (CEO, CFO, GM), maps employers to canonical names (resolving M&A aliases), and applies skills taxonomy mapping while flagging duplicate candidate records.

Step 5: Apply redaction policies

Configurable compliance rules automatically mask name, photo, contact info, school years, and other bias signals to generate blind CV versions for diverse slate requirements and GDPR/CCPA alignment.

Step 6: Sync to your ATS

Structured candidate data pushes directly into your ATS or CRM via native connectors or webhooks—with field mapping, idempotent upserts, and error handling to keep your systems in sync.

Step 7: Surface recruiter-ready outputs

Cassidy generates candidate briefs, competency scorecards aligned to your position spec, and longlist comparisons—ready for client presentation with Human-in-the-Loop review before finalizing.