Cornerstone OnDemand
Cornerstone OnDemand is an enterprise talent-management and learning suite whose Cornerstone Galaxy platform uses AI-driven skills extraction and matching (including the acquired SkyHive Skills Models) to power recruiting, candidate screening, and workforce development.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%72
+14.4
- 02
Bias Audit Transparency
Weight 18%58
+10.4
- 03
FRIA Support
Weight 15%35
+5.3
- 04
Data Governance Disclosure
Weight 15%60
+9.0
- 05
Human Oversight Design
Weight 12%55
+6.6
- 06
Post-Market Monitoring
Weight 12%45
+5.4
- 07
Customer Documentation
Weight 8%60
+4.8
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 72 · contributes 14.4 to total.
Weakest category
Customer Documentation
Raw score 60 · contributes 4.8 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
Cornerstone OnDemand, founded in 1999 and headquartered in Santa Monica, California (US), is a long-established enterprise talent-management vendor whose Cornerstone Galaxy platform spans learning, performance, and recruiting. Its AI capabilities center on skills intelligence — most notably the SkyHive Skills Models acquired in 2024 — that extract candidate skills and match people to roles and opportunities. The company is privately held (acquired by Clearlake Capital in 2021) and sells to large enterprise and public-sector buyers, placing it firmly in the enterprise price tier.
Regulatory exposure
Cornerstone's recruiting and skills-matching features are squarely in scope of high-risk AI employment regimes: its own EU AI Act article concedes that recruitment and performance-monitoring systems are 'high risk,' and SkyHive's skill-extraction tooling functions as an automated employment decision tool under NYC Local Law 144, Illinois, and Colorado. The company has materially de-risked this through an ISO/IEC 42001:2023 Artificial Intelligence Management System certification for Cornerstone Galaxy and an independent Armilla bias verification of SkyHive Skills Models that explicitly applied NYC LL 144 methodology. The main gaps are the absence of a publicly downloadable bias-audit report, any FRIA/Art. 27 deployer template, and detailed public instructions-for-use.
Path to a higher score
Cornerstone could raise its score by publishing the full Armilla assessment report (not just a summary blog) with selection rates and impact ratios, and committing to annual public NYC LL 144 audits; releasing an ungated AI system/model card or instructions-for-use document and exposing the ISO 42001 Statement of Applicability and AI Policy outside the gated trust center; and adding explicit EU AI Act Art. 27 deployer guidance or a FRIA template. Documenting concrete in-product human-oversight controls (override, audit logs, per-jurisdiction toggles) would further lift the human-oversight and customer-documentation scores.
Conflicts of interest
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