Thomas International
Thomas International provides psychometric and aptitude assessments (behaviour/DISC, cognitive ability, personality and emotional intelligence) with an AI coaching layer, used for hiring, candidate selection and employee development.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%54
+10.8
- 02
Bias Audit Transparency
Weight 18%43
+7.7
- 03
FRIA Support
Weight 15%33
+5.0
- 04
Data Governance Disclosure
Weight 15%57
+8.5
- 05
Human Oversight Design
Weight 12%51
+6.1
- 06
Post-Market Monitoring
Weight 12%40
+4.8
- 07
Customer Documentation
Weight 8%60
+4.8
§ 02 — Strongest · weakest
Strongest category
Customer Documentation
Raw score 60 · contributes 4.8 to total.
Weakest category
FRIA Support
Raw score 33 · contributes 5.0 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
Thomas International (trading as Thomas; thomas.co) is a UK talent-assessment provider founded in 1981 and headquartered in Marlow, Buckinghamshire, backed by Palamon Capital Partners. Its psychometric suite — Personal Profile Analysis (DISC behaviour), the General Intelligence Assessment (aptitude), HPTI (personality) and TEIQue (emotional intelligence) — is used for hiring, selection, development and team-building across 60+ countries, with more than two million assessments completed each year. The assessments are registered with the British Psychological Society and built to EFPA standards, and since 2024 the platform includes 'Thom,' an AI coach that interprets a person's behavioural profile.
Regulatory exposure
Thomas's assessments are statistically-scored tools used to substantially assist employment decisions, placing them within the EU AI Act Annex III 'employment' high-risk category and within scope of NYC Local Law 144 (AEDT bias audits) when used for NYC-based roles. The company evidences strong general information-security governance — ISO 27001:2022 (Dec 2025) and ISO 9001, an annual independent penetration test, and a publicly downloadable Statement of Applicability — alongside psychometric fairness accreditation via the BPS/EFPA. However, it publishes no NYC LL 144 bias-audit summary, no independent algorithmic bias audit, and no EU AI Act deployer or FRIA materials, so much of its AI-specific regulatory readiness is undocumented in public.
Path to a higher score
The largest gains would come from publishing an algorithmic bias / adverse-impact audit — ideally an NYC LL 144-style public summary or an independent audit by a firm such as Warden AI or Holistic AI — with downloadable fairness statistics for each assessment. A formal AI system card and explainability statement for Thom, plus ISO 42001 certification, would lift the technical-documentation score, while EU AI Act deployer guidance and a FRIA template would move the currently near-absent FRIA category. Adding a public status page / vulnerability-disclosure channel and documenting in-product human-override, audit-log and per-jurisdiction controls would strengthen the post-market-monitoring and human-oversight categories.
Conflicts of interest
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