Industry Focus · Human Resources
Resume parsing, I-9 automation, onboarding documents, and compliance tracking — production pipelines for HR ops and people teams.
We design, build, and deploy production Intelligent Document Processing (IDP) pipelines for human resources — automating resume and CV parsing, employee onboarding document processing, background check report extraction, benefits enrolment automation, and compliance certification tracking. Fixed-price sprints, 2–4 weeks to production.
HR Use Cases
From resume parsing to compliance tracking — every document-intensive HR workflow that benefits from production AI automation.
Automated candidate data extraction — skills, experience, education, certifications
High-volume resume screening is the highest-cost manual task in talent acquisition. Our AI pipeline classifies resumes and CVs by format and source, extracts all structured candidate data — work history, skills, education, certifications, and contact details — and maps extracted data to your ATS schema without manual re-keying. Recruiters focus on assessment, not data entry.
I-9, W-4, direct deposit, offer letters, and new-hire form automation
New-hire onboarding generates a flood of government forms, policy acknowledgements, and payroll setup documents that HR teams process manually under time pressure. Our AI pipeline classifies each document, extracts form field data, validates I-9 identity and eligibility information, and routes completed documents to the correct HRIS workflow — reducing onboarding document processing from days to hours.
Criminal record, credit, employment verification, and professional licence check processing
Background check document processing spans multiple third-party vendors, government sources, and formats — criminal records, credit reports, employment verification letters, professional licence checks, and international police clearance certificates. Our AI pipeline classifies each incoming background document, extracts key findings, flags adverse items against configurable decision rules, and routes results to the hiring team without manual review of standard clear reports.
Benefits enrolment, payroll changes, and EOB processing for HR and finance teams
Benefits enrolment and payroll change documents — election forms, qualifying life event documentation, payroll adjustment requests, and Explanations of Benefits — arrive in high volumes during open enrolment and throughout the year. Our AI pipeline classifies each document type, extracts relevant data fields, validates eligibility documentation against plan rules, and pushes structured data to payroll and benefits administration systems.
Performance reviews, PIPs, promotion documents, and learning records processing
Performance management generates structured and unstructured documents — annual review forms, 360-degree feedback surveys, performance improvement plans (PIPs), promotion recommendation memos, and learning completion certificates — that HR teams must index, route, and retain. Our AI pipeline classifies each document, extracts key ratings, goals, and decision outcomes, and routes to the correct talent management workflow.
Mandatory training records, licence renewals, and regulatory compliance documentation
HR compliance teams must track mandatory training completions, professional licence renewals, regulatory certification documents, and employment eligibility reverifications across the entire workforce. Our AI pipeline processes incoming compliance documents — training certificates, licence renewal confirmations, right-to-work documentation — extracts expiry dates and credential details, and triggers renewal alerts before deadlines are missed.
Extraction Coverage
Field-level extraction accuracy benchmarks across core HR document types.
| Document Type | Fields Extracted | Accuracy | Integration |
|---|---|---|---|
| Resume / CV | Name, contact, employment history, job titles, dates, skills, education, certifications, publications | 95–98% | ATS platform, skills taxonomy, recruiter dashboard |
| Form I-9 | Employee name, DOB, SSN (last 4), employment eligibility, document type, document number, expiry | 98–99% | E-Verify, HRIS, I-9 compliance tracker |
| W-4 / State Tax Form | Filing status, allowances, additional withholding, effective date, employee signature | 97–99% | Payroll system, HRIS |
| Background Check Report | Report type, findings by category, adverse items, county/state searched, report date, vendor | 94–97% | ATS, hiring decision workflow, FCRA adverse action queue |
| Training Certificate | Employee name, course name, provider, completion date, expiry date, CPD credits, instructor | 96–99% | LMS, compliance tracker, HRIS |
| Offer Letter | Candidate name, role, department, start date, base salary, equity, sign-on bonus, expiry date | 97–99% | ATS, DocuSign, onboarding workflow |
Implementation
We connect every HR document source — email inboxes, HRIS upload portals, ATS document repositories, background check vendor APIs, benefits administration platforms, and SharePoint or Google Drive HR folders — into a unified ingestion pipeline. PDFs, Word documents, image scans, and structured form submissions are all handled with automatic format normalisation.
Our AI Document Agent uses Vision LLMs (GPT-4o, Claude) and HR-domain NLP models to classify each document type, extract all relevant structured fields, validate compliance-critical data (I-9 eligibility codes, licence status), and assign confidence scores — with full extraction audit trails for every document event.
Extracted HR document data flows automatically into your HRIS, ATS, payroll system, LMS, or compliance tracker. The agent triggers downstream HR workflows — onboarding task creation, payroll system updates, compliance renewal alerts, ATS candidate profile updates — without manual re-keying or copy-paste errors.
Integrations
Native connectors and API integrations across the HR technology ecosystem.
Compliance & Security
I-9/E-Verify, EEOC, GDPR, and SOC 2 — every pipeline is designed to meet the compliance requirements of HR document processing.
I-9 Section 1 and Section 2 data extraction with E-Verify submission support. Re-verification scheduling for temporary work authorisation documents. Full audit trail per USCIS requirements.
Demographic data handling controls aligned to EEOC guidance. No protected class data extracted or stored during resume screening unless explicitly required for affirmative action reporting.
Candidate and employee PII handling with data minimisation controls. Right-to-erasure workflow support for GDPR Article 17 requests. Data residency options for EU employee record processing.
On-premise and private cloud LLM deployment options. Sensitive HR data — I-9 documents, background check reports, payroll records — never transmitted to third-party APIs without explicit authorisation.
Engagement Models
We scope one high-impact HR document workflow — resume parsing for high-volume roles, I-9 processing automation, or compliance certification tracking — define clear accuracy benchmarks, and deliver a production pipeline at a fixed price.
Embed a pre-vetted AI engineer specialised in HR document processing, HRIS integrations, and HR compliance automation into your team. Ideal for HR ops and people ops teams with a document automation roadmap.
Is your existing HR document pipeline missing I-9 fields, producing low resume extraction accuracy, or failing on non-standard CV formats? Our SWAT team audits and fixes it.
FAQ
AI resume parsing uses Vision LLMs and HR-domain NLP models to extract structured candidate data from unstructured resume and CV documents — regardless of format, layout, or country-specific conventions. The AI identifies and extracts work history with dates and titles, skills (normalising synonyms across a skills taxonomy), education with institutions and qualifications, certifications and licences, and contact details. This replaces manual data entry into ATS systems, reducing resume processing from minutes per candidate to seconds, and enabling structured data search and filtering across large candidate pools.
AI I-9 processing uses computer vision to extract all fields from completed Form I-9 documents — employee name, date of birth, SSN (last 4 digits), employment eligibility attestation, and List A or B+C identity and employment authorisation document details. The AI validates eligibility codes against USCIS acceptable document lists, flags incomplete or inconsistent entries, and triggers E-Verify submissions for employers using electronic I-9 workflows. Expiry dates on temporary work authorisation documents are tracked automatically for re-verification scheduling.
Our HR IDP pipeline handles: resumes and CVs (all formats and nationalities), Form I-9 and supporting identity documents, W-4 and state income tax withholding forms, offer letters, employment agreements, onboarding checklists, background check reports (criminal, credit, employment verification, professional licence), benefits election forms, qualifying life event documents, Explanations of Benefits, payroll change forms, performance review forms, PIPs, training completion certificates, professional licence renewals, OSHA training records, and any document type in the HR and people operations workflow.
Our resume parsing pipeline is designed for EEOC compliance. We do not extract or score protected class attributes — race, gender, age, national origin, religion, or disability status — unless explicitly required for affirmative action reporting under a separate, controlled workflow. Skills and experience extraction is neutral with respect to candidate demographics. For adverse impact monitoring, we provide structured extraction outputs that HR teams can use with their own adverse impact analysis tools, keeping human judgement in the hiring decision loop.
AI background check processing classifies incoming reports from background screening vendors — criminal background checks, credit reports, employment verification letters, professional licence checks, and international police clearance certificates — and extracts key structured data including findings by category, adverse items, jurisdictions searched, and report dates. Configurable adverse action thresholds trigger FCRA-compliant escalation routing for reports with adverse items, while standard clear reports are auto-closed without requiring HR review. This eliminates manual reading of thousands of background check reports per year.
A production HR document automation pipeline targeting a defined document set — for example, resume parsing into an ATS, or I-9 extraction into an HRIS — typically takes 2–4 weeks from scoping to production. This covers document intake setup, Vision LLM classification and extraction, HRIS or ATS integration, PII handling controls, HITL exception queue, and compliance audit logging. Multi-document-type deployments covering the full onboarding document set typically require 4–6 weeks.
Yes. Our resume parsing pipeline handles international CV formats — European Europass CVs, UK-style two-page CVs, APAC formats with photos and personal details, and academic CVs with publication sections — as well as non-standard creative or infographic resumes. Vision LLMs process the visual layout of the document rather than relying on positional templates, enabling accurate extraction from any resume format. Skills normalisation maps country-specific qualification names (e.g. UK A-levels, German Abitur) to a unified education taxonomy.
Yes. All HR IDP pipelines are built with GDPR compliance as a first-class design constraint. We offer on-premise and private cloud LLM deployment so candidate and employee PII never leaves your organisation's infrastructure. Data minimisation controls ensure only the fields required for the downstream HR workflow are extracted and stored. Right-to-erasure workflows support GDPR Article 17 requests across candidate records. Data residency options are available for organisations processing EU employee documents under cross-border transfer restrictions.