Paycom
Paycom is a single-database human capital management and payroll platform whose applicant tracking system automates recruiting with resume parsing, keyword/knockout candidate filtering, automated correspondence, generative job-description writing, and a command-driven AI data-query engine (IWant).
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%68
+13.6
- 02
Bias Audit Transparency
Weight 18%38
+6.8
- 03
FRIA Support
Weight 15%30
+4.5
- 04
Data Governance Disclosure
Weight 15%62
+9.3
- 05
Human Oversight Design
Weight 12%55
+6.6
- 06
Post-Market Monitoring
Weight 12%38
+4.6
- 07
Customer Documentation
Weight 8%60
+4.8
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 68 · contributes 13.6 to total.
Weakest category
FRIA Support
Raw score 30 · contributes 4.5 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
Paycom Software, Inc. (NYSE: PAYC), founded in 1998 and headquartered in Oklahoma City, is a single-database human capital management and payroll provider. Its Talent Acquisition suite includes an applicant tracking system with resume parsing, keyword/knockout filtering, automated candidate correspondence, generative job-description writing, and the command-driven 'IWant' AI data-query engine; native AI candidate matching is largely keyword-based, with deeper AI resume screening available through third-party integrations. In November 2025 Paycom earned ISO/IEC 42001 (its fifth ISO certification), externally audited by Schellman, and it markets 'private AI' with self-hosted client data.
Regulatory exposure
Paycom's ATS automates screening-adjacent steps - resume parsing, keyword/knockout filtering, and automated rejection correspondence - plus generative assistance, which can bring Paycom and its employer-customers into scope of NYC Local Law 144 (where tools substantially assist or replace hiring decisions), the Illinois and Colorado AI-hiring laws, and the EU AI Act's Annex III high-risk employment regime for deployers (obligations for that regime now falling due December 2, 2027). Paycom publishes no NYC LL 144 bias audit and no EU deployer/FRIA guidance; its native matching being keyword- rather than ML-score-based narrows, but does not eliminate, automated-employment-decision-tool exposure for customers who configure it to filter or rank candidates.
Path to a higher score
To raise its score, Paycom could commission and publish an independent NYC LL 144-style bias audit (or a reasoned public statement on why its native tools fall outside the AEDT definition), release AI model/system cards and instructions-for-use to sit alongside the ISO 42001 certificate, add explicit EU AI Act deployer guidance and a FRIA template, disclose AI training-data sourcing and exclusion practices, publish (rather than gate) its DPA and subprocessor list, and stand up a public system-status page plus an AI model-update changelog.
Conflicts of interest
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