⬡ AI QA Audit Service

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.

Request AI QA Audit View Sample Report
✓ 20+ yrs QA experience ✓ Delivered in 48–72 hrs ✓ Starting at $700 ✓ No integration required
// The Problem

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.
// The Solution

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.
// Process

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.

// Scope

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
// Common Findings

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
// Sample Output

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.

Get a real audit for your system →
// Real Audit

We audited our own AI pipeline

To validate our methodology, we ran a full Core Audit on our own AI-powered QA tool — a 4-stage pipeline using the Claude API. 30 test scenarios, 5 real findings, including a critical bug where the entire AI analysis output was silently discarded from every report.

✓ 30 scenarios executed ⚠ 2 High severity findings ✓ All fixes with code references
Read the case study
// Why Holteck

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.
// Pricing

Simple, transparent pricing.

Enterprise firms charge $8K–$16K and take weeks. We deliver the same depth, faster.

Diagnostic
$700
Delivered in 48 hours
✓8–12 test scenarios
✓1–2 critical findings
✓Root cause + fix recommendation
✓Summary report
✓5-min walkthrough video
Best for: MVP validation, pre-launch check
Request Diagnostic
Core Audit
RECOMMENDED
$2,400
Delivered in 5–7 days
✓25–35 test scenarios
✓5–8 detailed findings
✓Code-level references (file + line)
✓Root cause + user impact analysis
✓Effort estimates per fix
✓Full technical report
✓30-day remediation retest
Best for: Production AI systems, serious startups
Request Core Audit
Deep Audit
$6,000
Delivered in 10–14 days
✓50+ test scenarios
✓10+ findings + edge cases
✓Adversarial & multi-agent testing
✓Executive + technical reports
✓Live 1-hour follow-up session
✓90-day support + re-audit
✓Compliance mapping (OWASP, NIST)
Best for: Enterprise, regulated industries
Contact for Deep Audit

Not sure which tier fits? Email us and we'll help you decide.

// Get Started

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
✓ connect@holteck.com