LLOLA – Automated adversarial testing for AI support bots
We stress-test your chatbot with realistic adversarial prompts so you can catch policy violations, refund leakage, and hallucinations before your customers do.
Designed for e-commerce, fintech, healthcare, and support platforms that can't afford AI mistakes.
Test Run Summary
CompletedLLMs are powerful — and they break in ways that cost you money.
- Bots hallucinate refund policies and guarantees.
- Guardrails don't cover multi-turn 'real' customer behavior.
- Manual QA catches happy paths, not adversarial prompts.
- Refund leakage, compliance issues, and PR risk all start in the chat window.
Common Risk Categories
How LLOLA works
Get from zero to a comprehensive reliability audit in one week.
Connect your bot
Share your chatbot URL or a test endpoint. No heavy integration required.
We run adversarial test suites
LLOLA generates and executes dozens of realistic, adversarial conversations against your bot — refund abuse, policy confusion, competitor threats, safety edge cases, and more.
You get a reliability report
We deliver a structured report of failures, impact, and recommendations, plus an optional re-test after you patch issues.
What LLOLA catches
Comprehensive testing across the failure modes that matter most for customer-facing AI.
Policy contradictions
Detect when your bot contradicts your written refund, warranty, or guarantee policies.
Refund leakage
Find scenarios where the bot promises or approves refunds outside policy windows.
Unauthorized discounts & exceptions
Reveal where your bot hallucinates promotions, price-matching, or special deals.
Safety & compliance issues
Spot unsafe language, medical-style advice, or risky responses in regulated contexts.
Hallucinations under pressure
Test how your bot responds when customers are emotional, confused, or adversarial.
Multi-turn edge cases
Identify failures that only appear after realistic, multi-step conversations.
Built for teams that can't afford AI mistakes
Whether you're shipping AI support for the first time or scaling to millions of conversations, LLOLA helps you ship with confidence.
E-commerce brands
Protect margins by catching refund, warranty, and discount errors in AI support flows.
Fintech & banking
Keep AI responses aligned with financial policies, disclaimers, and regulations.
Healthcare & wellness
Prevent unsafe advice and ensure your assistant stays within approved guidance.
Support platforms
Increase trust in your AI support product by validating guardrails at scale.
What you get from a 7-day LLOLA audit
A comprehensive reliability report that reveals exactly where your bot breaks and how to fix it.
- Adversarial scenario suite (25–100 conversations)
- Pass/fail overview with severity scoring
- Policy and refund-logic failure map
- Safety & tone issue highlights
- Recommendations and example fixes
- Optional re-test after you patch issues
Sample Report
PreviewSimple engagement model
Start with a focused audit, then expand to continuous testing.
One-time audit
7-day engagement to reveal the biggest risks in your bot. Ideal for teams shipping or scaling AI support for the first time.
- 25-100 adversarial test scenarios
- Comprehensive reliability report
- Policy contradiction analysis
- Safety & compliance review
- Remediation recommendations
- One optional re-test
Ongoing monitoring
Run these tests regularly to catch regressions and new failure modes. Ideal for products under active development.
- Everything in one-time audit
- Monthly or sprint-based testing
- Trend analysis over time
- Regression detection
- Priority support
- Custom scenario development
Frequently asked questions
Everything you need to know about LLOLA audits.
Want to know what your bot is really saying?
Share a link to your chatbot and we'll walk you through what a LLOLA audit would look like for your use case.
Or email us directly at hello@llola.ai