Paradox
HireAIScore rates Paradox 41 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed May 21, 2026. Paradox ranks 23 of 32 vendors rated in Scheduling AI, against a category average of 46. That score is drawn from 10 evidence items across 7 rubric criteria for Paradox — 8 with a cited source, 2 recording that nothing was located.
Score breakdown
Paradox, criterion by criterion
Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.
Weighted contribution shown to the right of each bar.
Article 11 Technical Documentation
Weight 20% · category avg 46
40
+8.0
Bias Audit Transparency
Weight 18% · category avg 45
50
+9.0
FRIA Support
Weight 15% · category avg 31
25
+3.8
Data Governance Disclosure
Weight 15% · category avg 52
45
+6.8
Human Oversight Design
Weight 12% · category avg 56
50
+6.0
Post-Market Monitoring
Weight 12% · category avg 40
35
+4.2
Customer Documentation
Weight 8% · category avg 56
45
+3.6
Total weighted score
41.3(rounded to 41 for display)
Category avg is the mean raw score on that criterion across the 32 Scheduling AI vendors in scope of this rubric, this one included.
Strongest criterion
Human Oversight Design
50raw / 100
Contributes 6.0 to the total. 50 against a 56 category average.
Weakest criterion
FRIA Support
25raw / 100
Contributes 3.8 to the total. 25 against a 31 category average.
Cited evidence
The evidence behind the score
Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.
Download diligence recordEvidence ledger
- Items
- 10
- Documentation
- 5
- Audit report
- 1
- Public statement
- 2
- Absence
- 2
- With a source URL
- 8 of 10
- Source hostnames
- 3
- Fewest items
- 1
- FRIA Support
These figures measure how thoroughly Paradox was reviewed, not how Paradox performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
2 items40
- DocumentationCaptured May 21, 2026
Ethical AI page (4 principles, aligned with NIST AI RMF). No technical pack or model card linked.
- AbsenceCaptured May 21, 2026
No public material located as of 2026-05-21.
Where we looked: https://trust.paradox.ai (not located), No system card or Annex IV-style technical documentation found.
Bias Audit Transparency
2 items50
- Audit reportCaptured May 21, 2026
Holistic AI NYC LL 144 audit results for Olivia, Conversational AI Platform, and Traitify Tool (live page returns title only without extractable specifics on direct fetch - content effectively gated).
- Public statementCaptured May 21, 2026
Paradox public stance: positions Olivia outside AEDT scope on the basis that scheduling/screening is not hiring-decision-making.
FRIA Support
1 item25
- AbsenceCaptured May 21, 2026
No public material located as of 2026-05-21.
Where we looked: https://www.paradox.ai/resources, No FRIA template or deployer guidance located.
Data Governance Disclosure
1 item45
- DocumentationCaptured May 21, 2026
Security page: ISO 27001, SOC 2 Type II, EU-US Data Privacy Framework. No AI-specific data governance disclosure.
Human Oversight Design
1 item50
- DocumentationCaptured May 21, 2026
Stated philosophy: humans should make the important judgement calls. No specific override / confidence-threshold / audit-log documentation public.
Post-Market Monitoring
1 item35
- Public statementCaptured May 21, 2026
Public status page; security contact security@paradox.ai. No AI-specific incident channel.
Customer Documentation
2 items45
- DocumentationCaptured May 21, 2026
US DPA public.
- DocumentationCaptured May 21, 2026
Public FAQ page.
Editorial notes
Company overview
Paradox's "Olivia" is a conversational AI that runs over chat and SMS, sitting in front of an employer's ATS. Olivia handles candidate intake, basic screening questions, interview scheduling, and follow-up. Olivia's screening flows can include knock-out questions and ranking, which is where the regulatory exposure concentrates.
Regulatory exposure
Conversational AI is regulated differently depending on the function. The chat/scheduling surface is largely outside the EU AI Act's high-risk scope. The screening and ranking surface is squarely inside it (Annex III §4). NYC LL 144 applies wherever the system makes ranking decisions that affect NYC-based candidates. Customers should pay close attention to how Paradox draws the line between "Olivia is collecting your CV" and "Olivia is deciding who advances".
Path to a higher score
To move into the B band on this rubric, Paradox would need to publish
(a) a system card for the screening / ranking decisions Olivia makes, with
clear delineation from the conversation-only surface, (b) a current NYC
LL 144 bias audit covering the screening flow, and (c) FRIA-ready
deployer guidance that names which Olivia features are in-scope for
high-risk obligations and which are not.
Regulatory frame
What applies to scheduling AI.
Pure scheduling is largely outside high-risk scope. When the same conversational surface does any candidate screening or knockout questions, those flows fall back inside Annex III §4 and NYC LL 144.
Compare
Paradox against its nearest-scoring peers.
The closest scores in Scheduling AI, side by side.
- Side-by-sideParadox vs Humanly42F
- Side-by-sideParadox vs hireEZ42F
- Side-by-sideParadox vs Radancy41F
- Side-by-sideParadox vs Pin40F
Ranking
Others rated in Scheduling AI
Ranked 23 of 32 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- #20Paylocity43F
- #21Humanly42F
- #22hireEZ42F
- #23ParadoxThis profile41F
- #24Radancy41F
- #25Pin40F
Conflicts of interest
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Casework has no commercial relationship with this vendor.