Willo
Willo is a browser-based asynchronous (one-way) video interview platform that lets employers collect recorded video, audio, multiple-choice and written candidate responses, then uses AI to transcribe, summarize, rank candidates against employer-defined "Blueprint" criteria, and flag scripted or AI-generated answers.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%38
+7.6
- 02
Bias Audit Transparency
Weight 18%30
+5.4
- 03
FRIA Support
Weight 15%25
+3.8
- 04
Data Governance Disclosure
Weight 15%53
+7.9
- 05
Human Oversight Design
Weight 12%62
+7.4
- 06
Post-Market Monitoring
Weight 12%36
+4.3
- 07
Customer Documentation
Weight 8%54
+4.3
§ 02 — Strongest · weakest
Strongest category
Data Governance Disclosure
Raw score 53 · contributes 7.9 to total.
Weakest category
FRIA Support
Raw score 25 · contributes 3.8 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
Willo is a Glasgow, UK-founded (2018) async video interview company that screens candidates by collecting recorded video, audio, multiple-choice and text responses on candidates' own time. Co-founded by Euan Cameron, it grew during the remote-hiring boom, opened a New York presence, and serves startups through enterprises globally. Its AI layer ('Willo Intelligence') transcribes responses, generates structured summaries, ranks candidates against an employer-defined 'Blueprint,' and runs 'Real Talk' detection of scripted or AI-generated answers. Willo positions itself as 'human-first,' stating its AI summarizes and informs rather than scores video, and that algorithmic auto-rejection is limited to factual multiple-choice questions.
Regulatory exposure
Willo's ranking, Blueprint matching, and multiple-choice 'Benchmark' auto-rejection make it an Automated Employment Decision Tool under NYC Local Law 144 and a likely high-risk system under EU AI Act Annex III (employment) when deployed in scope. Despite this exposure, no public NYC LL 144 bias audit, no independent fairness audit, no EU AI Act / FRIA deployer materials, and no AI-specific technical documentation (model cards, ISO 42001) could be found. Willo mitigates risk primarily by design narrative — no facial recognition, voice scoring, or biometric analysis, and human-in-the-loop framing — rather than by published, jurisdiction-specific compliance artifacts. Its strongest verifiable posture is information security (ISO 27001:2022) and explicit human-oversight defaults.
Path to a higher score
The highest-value move is commissioning and publicly posting an independent NYC LL 144-style bias audit (e.g., Warden AI, Holistic AI, BABL AI) for the ranking/Benchmark features, renewed annually. Willo should publish a formal AI/model card or technical pack documenting the Intelligence and Real Talk models, their inputs, known limitations (e.g., accent/ASR fairness it already acknowledges), and explainability methods, and pursue ISO 42001. Adding explicit deployer guidance — candidate notice templates, opt-out/alternative-process language, an EU AI Act Art. 27 FRIA template, and a downloadable DPA/sub-processor page — plus a public status/incident channel and security contact would convert its already-strong human-oversight and data-security story into citable, jurisdiction-specific compliance evidence.
Conflicts of interest
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