# NAVEX One vs AllVoices: which do AI models recommend for whistleblowing, October 2026

HR AI Recommendation Index, October 2026 Edition, Whistleblowing and investigations. One of fourteen models named NAVEX One first on the direct prompt; zero named AllVoices. Page: https://hr-ai-index.com/core/whistleblowing-and-investigations/navex-one-vs-allvoices/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| NAVEX One | 8% | #3 of 12 | 22% | 36 | 14 of 14 |
| AllVoices | 4% | #7 of 12 | 0% | 15 | 9 of 14 |

## The direct prompt, model by model

- MiniMax M2.5: navex one first (first choices: FaceUp, NAVEX One) (alternatives: OneTrust EthicalTrack)
- Claude Haiku 4.5: neither first, one named (first choices: FaceUp) (alternatives: AllVoices, SpeakUp Report, VoxWel, Whispli)
- Perplexity Sonar: neither first, one named (first choices: Whispli) (alternatives: FaceUp, NAVEX One, Whistleblower Software)
- Grok 4.1 Fast: neither first, one named (first choices: Whistleblower Software) (alternatives: FaceUp, NAVEX One)
- Mistral Small: neither first, one named (first choices: FaceUp) (alternatives: AllVoices, Safecall)
- Llama 4 Maverick: neither first, one named (first choices: Ordio) (alternatives: NAVEX One, NotMe, WhistleBlower Security)
- Qwen 3.7 Flash: neither first, one named (first choices: Whispli) (alternatives: AllVoices, Ethico)
- GLM 4.7 FlashX: neither first, one named (first choices: Whistleblower Software) (alternatives: EQS Integrity Line, NAVEX One, Whistlelink)
- GPT-6 Luna: neither first, one named (first choices: Case IQ) (alternatives: Ethico, HR Acuity, NAVEX One)
- Muse Glimmer 30B: neither first, one named (first choices: FaceUp) (alternatives: AllVoices, Case IQ, WhistleBlower Security)
- GPT-5.4 mini: neither named (first choices: Whispli) (alternatives: Ethico, SpeakUp, Whistleblower Software)
- Gemini 3.5 Flash: neither named (first choices: FaceUp) (alternatives: HR Acuity, Whistleblower Software, Whistlelink)
- DeepSeek V4 Flash: neither named (first choices: FaceUp) (alternatives: Case IQ, WeMoral, Whistleblower Software)
- Kimi K2: neither named (first choices: FaceUp) (alternatives: EQS Integrity Line, Ethicontrol)

## What the models said about NAVEX One

- "Avoid enterprise platforms like NAVEX (thousands per month)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Avoid NAVEX One unless you need the full GRC stack ... it can be disproportionately expensive and complex for mid-market needs." (DeepSeek V4 Flash, direct prompt, soft negative)
- "it is often not the best fit for a mid-market B2B company... expensive, the interface can feel outdated" (Gemini 3.5 Flash, direct prompt, soft negative)
- "NAVEX is the incumbent leader, particularly for public companies and organizations subject to strict regulations like Sarbanes-Oxley (SOX)." (Qwen 3.7 Flash, comparative prompt, first choice)
- "Best for: Large multinational enterprises requiring comprehensive compliance suites ... Industry-leading scale with 10M+ reports processed" (Kimi K2, comparative prompt, first choice)
- "The "Gold Standard" All-in-One: NAVEX One (EthicsPoint) ... its "One" platform scales well for mid-sized firms that plan to grow." (Qwen 3.7 Flash, paraphrase prompt, first choice)

## What the models said about AllVoices

- "For a standard, tech-forward mid-sized B2B company, AllVoices is the most well-rounded option to build a positive culture of trust." (Gemini 3.5 Flash, paraphrase prompt, first choice)
- "Top Recommendation: AllVoices ... For most mid-sized B2B companies, I'd start with AllVoices." (Kimi K2, paraphrase prompt, first choice)
- "Consider it when employee accessibility and HR workflows are central; validate whether its controls and compliance capabilities fit your program." (GPT-6 Luna, comparative prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.