Enterprise AI Safety & Compliance

Building Trust in AI Customer Service
for Enterprises

Real-world simulation, evaluation, and audit for Gen AI agents. Automated testing with complex scenarios for functionality, performance, security, and compliance.

AI Agents Dashboard

Industry Specific Validation

Ensuring AI accuracy, compliance, and security across critical sectors.

Retail & E-Commerce

Evaluate AI-powered shopping assistants to deliver accurate product information, personalized recommendations, and fraud detection while ensuring compliance with consumer protection laws.

Banking & Finance

Ensure Customer Service AI agents maintain data accuracy, regulatory compliance (GDPR, PCI DSS), and fraud prevention while protecting sensitive customer data.

Healthcare

Validate AI-powered healthcare agents to ensure medically accurate information, safeguard patient privacy (HIPAA, GDPR), and meet industry compliance standards for diagnostics and patient interactions.

Continuous Testing Validation

Don't just blindly trust your AI Agents.
Test them. Continuously.

Run comprehensive simulations of real-world interactions with our combined agent suite. Test your AI before launch and monitor performance while live with periodic reports to ensure continuous quality and compliance.

Fact Checking

Verify AI-generated claims against trusted knowledge bases to ensure accuracy and reliability.

Offensive Language

Detect inappropriate, or harmful content in AI-generated responses to protect your brand's reputation.

Off Topic

Prevent competitor mentions and other irrelevant responses, enhancing customer satisfaction and accuracy.

Cost Control

Detect excessive token usage to prevent excessive costs from verbose responses or inefficient prompts.

Coming Soon

Fake News

Detect and flag misinformation, disinformation, and fabricated content in AI responses.

Coming Soon

Custom Agent

Build specialized test agents for your use cases using historical conversations and first-party data.

Coming Soon

Functional Testing

Validate AI's responses across various business cases and scenarios to ensure consistent performance.

Coming Soon

Context Leakage

Prevent AI from exposing internal system prompts, configurations, or sensitive information.

How does it work?

A simple three-step process to ensure your AI agents are enterprise-ready

Ingest Data & Optimize AI Agents

1

Seamlessly integrate text, files, and URLs into a structured Knowledge Base.

2

Select from a suite of pre-trained validation agents tailored for enterprise needs.

3

Fine-tune agents by customizing their Knowledge Base, accuracy thresholds, and validation parameters for optimal performance.

Common Pitfalls

Common Risks Managed by Genezio

Proactively identify and mitigate AI failures before they impact your business. Our continuous monitoring safeguards your AI systems, ensuring accuracy, compliance, and cost efficiency throughout their lifecycle.

Lack of Fact-Checking

AI agents often provide inaccurate or outdated information without verifying facts, such as incorrect fees or discontinued products.

Generating Off-Topic Content

AI can deviate from topics, providing irrelevant responses like poems instead of financial details or technical explanations unrelated to queries.

Technical Leaks & System Prompt Exposure

Critical errors occur when AI reveals internal instructions or configuration settings, creating security vulnerabilities.

Cost Control Issues

Inefficient LLM usage leads to excessive costs through oversized inputs, excessive requests, and unnecessarily verbose responses.

Why This Matters

Without proper auditing, AI agents can confidently provide incorrect information.

Real-World Example: Fact-Checking Failure
1 / 4

What are the fees for international transfers?

International transfers have a flat fee of $15. There are no additional charges.

ERROR: This information is outdated. The actual fee structure changed to $25 base + 1% of transfer amount.

Why AI Systems Need Comprehensive Testing

Real-world AI failures demonstrate the critical need for thorough testing before and especially after each new release.

Stochastic Behavior & Control Issues

Enterprises fear AI adoption due to stochastic behavior and lack of control over AI outputs.

Data Governance & Hallucinations

Inaccuracy is a top concern—70% of enterprises highlight data governance issues and AI hallucinations.

Real-world AI Failures

Air Canada

Air Canada

Fined for chatbot misinformation about refund policies

NYC

NYC Business Bot

Advised users to break the law with incorrect permit information

McDonald's

McDonald's

AI kept adding 260+ orders of nuggets without validation

Make your AI Agent trustworthy. Get a free report in 24 hours!

Our AI simulations evaluate your agent directly from your website. For internal AI applications, book a demo to explore our comprehensive testing solutions.

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