There are currently no AI Native CRM solutions independently certified and recommended for use
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The following 2 AI Native CRM solutions has been independently analyzed and do not meet the requirements for recommended use
Creatio falls short on ethical standards primarily due to its absence of published bias audits and fairness testing, lack of public Corporate Social Responsibility or environmental commitments, and failure to require customer-facing disclosure when AI agents interact with prospects—creating significant gaps in algorithmic accountability, ethical transparency, and responsible AI governance despite strong technical capabilities.
EQI Total 77.75 out of 100
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SuperAGI fails to meet ethical standards primarily because it provides zero evidence of algorithmic bias auditing, appears to deliberately design AI to be indistinguishable from humans with "human-sounding AI phone agents" and messages that "feel human-written" while providing no disclosure to prospects or customers that they're interacting with AI rather than humans (with voice agents using "state-specific local numbers to appear as local human callers"), explicitly markets for human job replacement rather than augmentation with messaging like "Grow your revenue, not your headcount," and uses undisclosed third-party data sources, and operates a wage arbitrage model between Palo Alto headquarters and Bengaluru development with zero transparency on working conditions, fair wages, labor rights, or environmental impact.
EQI Total 61.01 out of 100
The following 6 AI Native CRM solutions have been independently analyzed & are not recommended for use without further research & AIE certification
1stContact fails to meet ethical standards primarily because it provides virtually no transparency about how its AI actually works despite "AI-native" branding, completely lacks any evidence of bias auditing or fairness testing for its lead scoring and prioritization algorithms, offers zero AI-specific privacy controls or disclosure about whether customer data trains its models, employs manipulative tactics including selective review solicitation targeting only happy customers, and operates as a white-labeled platform with no disclosed responsible AI framework, human oversight mechanisms, or environmental accountability.
EQI Total 47.50 out of 100
Attio fails to meet ethical standards primarily because it enables AI-generated emails that appear human-written without disclosing to recipients they're communicating with AI, automatically scrapes and profiles prospects from public web sources without their knowledge or consent (violating GDPR's spirit), provides virtually no evidence of algorithmic bias auditing despite making consequential decisions about lead qualification and routing, and explicitly positions AI to replace rather than augment human judgment.
EQI Total 58.25 out of 100
Aurasell fails to meet ethical standards primarily because it enables AI-generated "personalized outreach at scale" that appears human-written without clear disclosure to recipients (contradicting its "more Human to Human Selling" tagline), maintains an 800 million contact database with contradictory privacy statements claiming both "we do not collect any information from third parties" while using "third-party data," provides absolutely zero evidence of algorithmic bias auditing despite making high-impact decisions about lead scoring and prioritization that could systematically discriminate, and operates with a fundamentally seller-centric rather than customer-centric.
EQI Total 48.25 out of 100
Breakcold fails to meet ethical standards primarily because it enables users to send AI-generated "personalized" messages that appear human-written without any disclosure to recipients (violating California Bot Disclosure Law and Utah AI Policy Act), systematically scrapes LinkedIn users' data through a Chrome extension without their knowledge or consent while falsely claiming in its privacy policy that "no personal data are collected" from social media, maintains an outdated privacy policy, provides absolutely no evidence of algorithmic bias auditing for its lead scoring and prioritization systems, and explicitly positions AI to replace rather than augment human judgment.
EQI Total 49.25 out of 100
Clarify fails to meet ethical standards primarily because it enables salespeople to send AI-generated "personal" follow-up emails, meeting notes, and automated sequences to prospects without any disclosure to recipients that communications are AI-drafted (creating what evaluators called "scaled AI impersonation of human communication without disclosure" and violating "the authenticity of human business relationships"), employs highly invasive automatic surveillance including keystroke logging and mouse tracking that goes "far beyond what's necessary for CRM functionality," demonstrates a complete absence of algorithmic bias auditing despite making consequential automated decisions about lead scoring and prioritization, and uses an opt-out rather than opt-in consent model with "weak data minimization" and extensive third-party data sharing.
EQI Total 59.75 out of 100
ShareCRM fails to meet ethical standards primarily because it provides absolutely zero evidence of algorithmic bias auditing or fairness testing, offers no clear disclosure to prospects or customers when they are interacting with AI versus humans, provides zero transparency regarding labor practices and environmental sustainability for its 1,400+ employees with "no public ESG/CSR reporting" or "published sustainability strategies," demonstrates weak data minimization with extensive automatic collection and contradictory statements about third-party data sources, and provides zero evidence of customer feedback mechanisms that allow users to influence AI behavior.
EQI Total 51.75 out of 100
