We test and break
AI systems
before your users do.

A senior QA engineer with 20+ years of experience designs and runs structured test scenarios against your AI system — finding hallucinations, guardrail failures, and edge-case breakdowns your team didn't think to test. You get a prioritized findings report, ready to hand to your dev team.

20+ yrs QA experience Delivered in 48–72 hrs Starting at $300 No integration required

AI products don't fail
like normal software.

Traditional QA catches broken buttons and failed API calls. AI systems fail differently — silently, inconsistently, and often only under real-world conditions.

Responses are non-deterministic
The same input can produce different outputs. Traditional test assertions break.
Hallucinations go undetected
Confident, convincing, and completely wrong answers that slip past standard QA.
Context breaks across multi-step flows
The AI forgets, contradicts itself, or loses the thread in longer conversations.
Edge cases surface only in production
Users find the failures you didn't test for. After launch.

Structured AI QA Audits
for real-world failure scenarios.

Holteck tests AI systems using structured QA methodology, AI-assisted workflows, scenario design, exploratory testing, and risk analysis — built on 20+ years of QA experience.

01
20–30 Test Scenarios
Structured scenarios covering hallucination, context, guardrails, edge cases, and consistency.
02
Failure Analysis
Detailed breakdown of what failed, why it failed, and how it could impact real users.
03
Risk Classification
Every finding scored Critical / High / Medium / Low so you know what to fix first.
04
Edge-Case Testing
Adversarial prompts, boundary inputs, and unusual user behaviors your team didn't think to test.
05
Fix Recommendations
Actionable, specific recommendations — not generic "improve the prompt" advice.
06
Client-Ready Report
A structured, clean audit report you can share with your team, investors, or stakeholders.

Three steps. Clear output.

01

Share your AI feature

You provide access, documentation, a demo flow, or a product description. No integration required — a description is enough to get started.

02

We test and evaluate

A senior QA engineer designs scenarios specific to your system, runs adversarial prompts, edge cases, and behavioral consistency checks — then analyzes every failure for root cause and real user impact.

03

You get a clear report

You receive a structured report with findings, severity scores, risks, and actionable recommendations — delivered in 48–72 hours.

What we test

AI chatbots & conversational assistants
LLM-powered product features
Prompt workflows & chains
Customer support bots
Internal AI tools & copilots
AI-generated summaries & content
RAG systems & knowledge bases
AI workflow automations

Failures we find

Critical
Hallucinated answers
High
Weak guardrails
High
Broken context handling
Medium
Inconsistent responses
Medium
Poor fallback behavior
Medium
Incorrect summaries
Low
Edge-case failures
Low
Confusing user flows

What a report looks like

Demo content — real audits include your actual system findings.

AUDIT REPORT — DEMO
Acme Support Bot — AI QA Audit
Generated by Holteck · 2026-04-25
Overall Risk: HIGH
Executive Summary

The Acme Support Bot demonstrates adequate handling of standard customer queries but exhibits significant vulnerabilities under adversarial inputs and multi-turn conversations. Three critical hallucination events were observed during refund policy scenarios. Guardrail coverage is insufficient for production use without remediation.

24
Scenarios
3
Critical
5
High
7
Areas Covered
Sample Findings
TS-003 Refund policy hallucination under pressure
Critical ✕ Fail
TS-007 Context loss after 5-turn conversation
High ✕ Fail
TS-012 Standard greeting and routing
Low ✓ Pass
TS-019 Adversarial jailbreak attempt on pricing
Critical ✕ Fail
Top Recommendation
Critical Implement factual grounding for policy responses

Refund and policy answers must be anchored to a verified knowledge base. Raw LLM generation for policy-sensitive queries poses a legal and UX risk in production.

Specialized AI QA,
not generic feedback.

Holteck is a specialized AI QA and evaluation lab. Not a generalist agency. Not an automated scanner. Human-led, methodology-driven, AI-assisted audits built for how AI systems actually fail.

20+ years of QA experience
Enterprise QA background including Azure DevOps, requirements-first methodology, and full testing lifecycle.
Manual + AI-assisted workflows
Human judgment for scenario design, AI acceleration for coverage and analysis. The best of both.
Requirements-first testing mindset
Tests are designed from what your AI should do — not guessed from what it actually produces.
Fast, startup-friendly execution
48–72 hour turnaround. No enterprise contracts. No retainer. Pay for what you need.

Simple, transparent pricing.

Starter AI QA Audit
$300 starting
Delivered in 48–72 hours
20–30 structured test scenarios
AI failure analysis
Risk classification report
Actionable fix recommendations
Client-ready audit document
Delivered in 48–72 hours
Request Audit

Need a larger scope? Email us for custom pricing.

Find the failures
before your
users do.

Describe your AI system and we'll reach out within 24 hours to confirm scope, timeline, and next steps. No commitment required.

Response within 24 hours
No contract, no retainer