AI Compliance & Audit for E-Commerce
E-commerce AI operates at consumer-facing scale — millions of chatbot conversations, algorithmically personalised prices, AI-generated product descriptions, and automated recommendations. The FTC, the EU's Digital Services Act, and emerging regulations across 24+ US states and Latin America treat every one of these interactions as a compliance event. EthiCompass evaluates your commercial AI across 7 scientifically validated dimensions, producing the immutable evidence your regulators, your legal team, and your customers require.
E-commerce AI regulation is no longer theoretical. The FTC has launched dedicated enforcement operations. The EU's Digital Services Act is already requiring transparency from major platforms. States are passing algorithmic pricing disclosure laws. And courts have established that AI chatbot statements are legally binding.
European Union
Art 5 prohibits manipulative AI techniques in consumer interactions — effective February 2025. Art 50 requires AI disclosure for all consumer-facing AI by August 2026. The Digital Services Act mandates recommendation transparency, fake review combat, and systemic risk assessments for platforms.
Prohibited practice penalty: Up to 7% of global turnover. DSA penalty (VLOPs): Up to 6%.
United States
FTC dedicated AI enforcement unit with 5+ actions and $35M+ in documented consumer harm. New York pricing disclosure law effective November 2025. Over 35 pricing bills moving through 24+ state legislatures. Amazon federal antitrust trial set for October 2026. Six or more states enacting chatbot disclosure requirements.
Recent FTC settlements: $193K–$17M per case.
Latin America
Non-discriminatory pricing requirements, AI disclosure rights, and consumer data protection under LGPD — applicable to any company processing Brazilian consumer data. CDC strict liability framework applies to AI product claims, chatbot advice, and automated decision-making affecting consumers.
Bill 2338 penalty: Up to R$50M or 2% of Brazilian revenue.
These are not future risks. These are active enforcement actions, settled cases, and published regulatory findings.
FTC ENFORCEMENT
FTC shut down deceptive AI e-commerce schemes, imposed $17M settlements (Cleo AI), permanently barred operators. Dedicated enforcement unit now targets AI-powered commercial deception at scale.
Dimension: Factuality & Accuracy
SURVEILLANCE PRICING
January 2025 study: companies use location, demographics, browser history, mouse movements for individualised prices. Algorithms systematically discriminate against consumers based on behavioural and demographic data.
Dimension: Discrimination & Fairness
FAKE REVIEW ENFORCEMENT
FTC action against Rytr — AI fake review generation creates legal liability for platforms and sellers. DSA requires platforms to combat fake reviews with systemic risk assessments.
Dimension: Factuality & Accuracy
CHATBOT LIABILITY
Multiple jurisdictions established chatbot statements about policies, pricing, promotions are legally binding. 'The AI said it, not us' is not a defence. Every chatbot interaction is a potential commitment.
Dimension: Regulatory Compliance
Our evaluation framework was developed by PhD researchers in AI ethics and regulatory compliance. Each dimension addresses a specific failure mode in commercial AI — from pricing discrimination to chatbot accuracy to recommendation manipulation.
01
Detects discriminatory patterns in algorithmic pricing, product recommendations, search ranking, and credit/BNPL decisions — where AI can systematically disadvantage consumers based on protected characteristics.
EU AI Act Art 5, FTC surveillance pricing, NY Pricing Disclosure, Brazil 2338
02
Flags inappropriate content in AI-generated product descriptions, chatbot responses, marketing copy, and customer communications — where automated content creation operates without human review at scale.
DSA content moderation, FTC endorsement guidelines, Brazil CDC
03
Ensures AI recommendations, pricing algorithms, and chatbot decisions include traceable reasoning — so consumers understand why they see specific prices, products, and promotions.
EU AI Act Art 50, DSA recommendation transparency, NY pricing disclosure, Brazil 2338
04
Verifies customer data used in personalisation, pricing, and targeting complies with privacy obligations — from cookie consent to behavioural profiling to cross-device tracking.
GDPR + ePrivacy, LGPD, state privacy laws, FTC surveillance pricing
05
Identifies incorrect policy information in chatbots, unsubstantiated product claims, fabricated reviews, inaccurate pricing, and misleading availability — the failures that trigger FTC enforcement.
FTC substantiation, EU UCPD, DSA fake reviews, Brazil CDC
06
Tests commercial AI stability under high-volume conditions, adversarial inputs, and edge cases — ensuring Black Friday traffic spikes don't produce pricing errors or chatbot failures.
EU AI Act Art 15, FTC reasonable precaution, Brazil 2338
07
Maps AI behaviour to all applicable regulations — EU AI Act, DSA, UCPD, FTC Act, state consumer protection laws, LGPD, and CDC — producing integrated compliance evidence.
All frameworks: integrated mapping
E-commerce companies deploy AI across the entire customer journey. Each touchpoint creates distinct regulatory obligations.
Millions of interactions per day, each one a potential binding commitment. Courts have ruled that chatbot statements about return policies, pricing, and promotions are legally binding on the company. At e-commerce scale, a single policy error can propagate across hundreds of thousands of conversations before detection.
Key risk areas
The FTC has coined 'surveillance pricing' — the practice of using consumer data to set individualised prices. New York's pricing disclosure law takes effect November 2025. Over 35 pricing bills are moving through 24+ state legislatures. Amazon faces a federal trial in October 2026 over alleged algorithmic price manipulation.
Key risk areas
The DSA requires platforms to explain recommendation algorithms and provide opt-out mechanisms. EU AI Act Art 5 prohibits manipulative AI techniques. Search ranking that systematically favours paid placements without disclosure creates both regulatory and consumer trust liability.
Key risk areas
The FTC's action against Rytr established that AI-generated fake reviews create direct legal liability. The DSA requires platforms to combat fake reviews through systemic risk assessments. AI-generated marketing copy that makes unsubstantiated claims triggers FTC endorsement guideline violations.
Key risk areas
The DSA imposes trader traceability obligations on marketplace platforms — know-your-business-customer requirements, content moderation duties, and systematic risk assessments. AI systems that automate seller verification and content moderation must themselves be governed.
Key risk areas
Peer-Reviewed Methodology
In e-commerce, scale amplifies everything — including compliance risk. When your chatbot makes an incorrect policy statement once, it is an incident. When it makes that statement 100,000 times in a day, it is a class action. When your pricing algorithm discriminates against a demographic once, it is a bug. When it does so across millions of transactions, it is a pattern that regulators can detect and prove.
EthiCompass's 7-dimension framework was developed by PhD researchers in AI ethics, bias detection, and regulatory compliance, and validated through peer-reviewed publications. Each dimension is operationalised through 39+ quantitative metrics designed to evaluate commercial AI at the scale e-commerce demands — from individual chatbot conversations to system-wide pricing patterns.
This matters because the FTC, the European Commission, and Brazilian regulators are all building the technical capacity to audit algorithmic systems. The question is no longer whether your AI will be examined — it is whether you can produce the evidence when the examination begins.
OneCheck
Your E-Commerce AI Compliance Baseline
A comprehensive audit of your customer-facing AI — chatbot, pricing, recommendation, and marketing AI evaluated across all 7 dimensions in 3 weeks. The compliance baseline your legal team, your board, and your regulators require.
Best for: E-commerce companies deploying customer-facing AI who need to understand their compliance posture before enforcement deadlines arrive.
Enterprise
Full PlatformContinuous Commercial AI Governance
Ongoing monitoring across all commercial AI systems — chatbots, pricing engines, recommendation algorithms, marketing AI, and marketplace tools. Built for retailers, marketplaces, and DTC brands operating across multiple jurisdictions.
Best for: Retailers, marketplaces, and DTC brands deploying AI at scale across chatbots, pricing, recommendations, and marketing in multiple jurisdictions.
Regulation
EU AI Act — Art 5 (Prohibited)
Obligation
No manipulative AI techniques in consumer interactions
Deadline
Feb 2025 (in force)
Dimension
Discrimination & Fairness
Regulation
EU AI Act — Art 50 (Transparency)
Obligation
Disclose AI-generated content and chatbot interactions
Deadline
Aug 2026
Dimension
Explainability & Transparency
Regulation
Digital Services Act (DSA)
Obligation
Recommendation transparency, fake review combat, systemic risk assessment
Deadline
In force (VLOPs)
Dimension
Regulatory Compliance
Regulation
EU Unfair Commercial Practices Directive
Obligation
No misleading AI-generated claims, pricing, or reviews
Deadline
In force
Dimension
Factuality & Accuracy
Regulation
FTC Act — Section 5
Obligation
No unfair or deceptive AI-powered commercial practices
Deadline
In force
Dimension
Factuality & Accuracy
Regulation
FTC — Operation AI Comply
Obligation
Dedicated enforcement against deceptive AI e-commerce
Deadline
Active enforcement
Dimension
Regulatory Compliance
Regulation
NY Pricing Disclosure Act
Obligation
Disclose algorithmic pricing to consumers
Deadline
Nov 2025
Dimension
Explainability & Transparency
Regulation
State Chatbot Disclosure Laws (6+ states)
Obligation
Disclose AI chatbot interactions to consumers
Deadline
Various
Dimension
Explainability & Transparency
Regulation
State Pricing Bills (24+ states)
Obligation
Algorithmic pricing transparency and fairness requirements
Deadline
2025–2026
Dimension
Discrimination & Fairness
Regulation
Brazil Bill 2338
Obligation
Non-discriminatory AI pricing, transparency, human oversight
Deadline
Pending
Dimension
Discrimination & Fairness
Regulation
LGPD (Brazil)
Obligation
Consumer data protection for personalisation and pricing
Deadline
In force
Dimension
Privacy & Data Protection
Risk
EU AI Act — prohibited practices (manipulative AI)
Exposure
Up to 7% of global turnover
With EthiCompass
Art 5 compliance verification across all consumer AI
Risk
Digital Services Act (VLOPs)
Exposure
Up to 6% of global turnover
With EthiCompass
Recommendation transparency and systemic risk documentation
Risk
FTC enforcement (Operation AI Comply)
Exposure
$193K–$17M per case
With EthiCompass
Factuality scoring and deceptive practice detection
Risk
Chatbot liability (binding statements)
Exposure
$1M–$5M+ per incident
With EthiCompass
Policy accuracy verification before deployment
Risk
Algorithmic pricing violations
Exposure
State penalties + class action
With EthiCompass
Pricing fairness analysis and discrimination detection
Risk
Amazon-type antitrust litigation
Exposure
$1B+ (federal trial Oct 2026)
With EthiCompass
Algorithmic pricing audit trail and compliance evidence
Risk
LGPD (Brazilian consumer data)
Exposure
Up to 2% of Brazilian revenue
With EthiCompass
Privacy impact assessment for personalisation AI
Risk
Fake review enforcement (FTC + DSA)
Exposure
Injunctions + per-violation penalties
With EthiCompass
AI content authenticity verification and audit trail
E-commerce AI does not fail quietly. A chatbot that misrepresents your return policy does so to thousands of customers simultaneously. A pricing algorithm that discriminates does so across millions of transactions. A recommendation system that manipulates does so at a scale regulators can detect, prove, and penalise.
The companies that act now — before the DSA enforcement ramps up, before the FTC's next sweep, before the August 2026 AI Act deadline — will have the evidence. The companies that wait will have the liability.