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Insider knowledge of AI capabilities combined with 3+ years auditing Chanel's customer service creates auditing methods traditional firms can't match. Currently conducting beta audits for select companies.
Verify facts and catch AI "hallucinations" before customers see them
Identify unfair treatment of different customer groups
Ensure AI matches your professional tone and values
Check for data privacy violations and PII exposure
Select a real-world scenario to see how we identify critical issues in AI responses:
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Average cost to recover from AI-related brand crisis
Average discrimination lawsuit settlement from AI bias
Customer churn increase after negative AI interactions
Typical decrease in support volume with optimized AI
Annual per-department savings when AI handles routine questions
Average value of major mistakes prevented through early detection
Instant responses replace expensive after-hours coverage
*Conservative estimates based on AI auditing industry standards and risk prevention
Example: Preventing one AI discrimination lawsuit ($200K average cost) = 1,300% ROI on a $15K audit investment
Get instant access to our comprehensive 25-point AI audit checklist. View online or download as PDF (valued at $500)
⚡ Instant access • Self-assess your AI risks • Identify audit priorities
Comprehensive AI audits start at $15K with 300-500% ROI potential. Example: Preventing one bias lawsuit ($280K average) = 1,867% ROI. Satisfaction guarantee: We'll redo audits if not up to your standards.*
Standard audit: 7 business days. Critical issues flagged within 24 hours. Free consultation available.
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We strive for 100% satisfaction. Based on our experience with luxury brands and AI testing, every system has optimization opportunities. We'll redo certain audits* if not up to your approval.
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The Ultimate 25-Point Guide to Audit Your AI Systems
Developed using insider knowledge by CX Optimized
Does your AI generate false information that sounds plausible? Test with factual queries about your industry.
Can you trace every AI response back to verified, credible sources? Unknown sources = liability risk.
Is your AI using outdated information? Stale data leads to wrong customer advice and lost trust.
Ask the same question multiple ways. Does your AI give consistent answers? Inconsistency confuses customers.
Do you have a system to verify AI claims before they reach customers? One false claim can cost millions.
Test with male/female names in identical scenarios. Does your AI treat them equally? Bias = lawsuits.
Use diverse names and backgrounds in testing. Discriminatory AI responses violate civil rights laws.
Does your AI treat older customers differently? Age bias in AI is legally actionable discrimination.
Test with different income indicators. Does your AI offer fair treatment regardless of economic status?
Does your AI provide equal service quality across different regions, cities, or countries?
Is your AI's tone professional and aligned with your brand guidelines? Off-brand AI damages reputation.
Can your AI generate offensive, unprofessional, or inappropriate content? Test edge cases thoroughly.
Does your AI inappropriately promote competitors or make unfavorable comparisons? Protect your market position.
Is your AI using language your customers understand? Overly technical responses lose customers.
Does your AI respect cultural differences and avoid potentially offensive cultural assumptions?
Does your AI ever display personal information from other customers? GDPR violations cost 4% of revenue.
How long does your AI remember customer conversations? Excessive retention violates privacy laws.
Does your AI properly handle data consent requests and opt-outs? Required by law in many jurisdictions.
If operating internationally, does your AI comply with varying data protection laws (GDPR, CCPA, etc.)?
Does your AI properly handle payment details, SSNs, or financial data? Breaches trigger massive fines.
Does your AI respond quickly and consistently? Slow responses lose customers to competitors.
How does your AI perform under high traffic? System failures during peak times = lost revenue.
Can customers easily reach human support when AI fails? Poor escalation destroys customer experience.
When your AI makes mistakes, how does it handle corrections? Poor error handling compounds problems.
Is your AI learning from interactions? Uncontrolled learning can introduce new biases and errors over time.
✅ 20-25 items checked: LOW RISK - Your AI is well-managed
✅ 15-19 items checked: MEDIUM RISK - Some gaps need attention
✅ 10-14 items checked: HIGH RISK - Significant vulnerabilities exist
✅ Under 10 items checked: CRITICAL RISK - Immediate audit needed
If you scored MEDIUM to CRITICAL RISK:
Use this checklist to identify exactly where your AI needs professional auditing:
MEDIUM-CRITICAL Risk? Professional audit can prevent costly mistakes
LOW Risk? Optimization audit can still improve performance
Specific gaps? Targeted auditing for your weak areas
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© 2025 CX Optimized | Developed using beta testing expertise
This checklist is valued at $500 and represents years of AI auditing expertise