ShadowQA

AI Will Move Faster. Will Your Quality Keep Up?

An AI-powered QA diagnostic that audits existing test suites to determine whether tests are actually protecting your codebase—or creating the appearance of coverage.

Schedule Diagnostic

The Risk of AI Without Real Quality Controls

AI accelerates delivery — but it also accelerates hidden defects if your test foundation is weak. AI models infer patterns; they do not understand business risk. This creates a dangerous gap:

  • Hallucinated test cases detached from real user workflows
  • Mock-heavy tests that never exercise true integration paths
  • Inflated coverage metrics masking untested revenue-critical systems
  • Passing tests that fail to detect real business regressions

AI does not fix fragile quality systems. It scales them.

GAP
Perception vs Reality
Perceived 0%
Actual 0%

Increase Velocity Without Increasing Risk

ShadowQA audits whether your test architecture supports AI-driven code generation.

0%
Confidence

Accelerate with AI — Without Amplifying Risk

ShadowQA evaluates whether your test suite protects what actually matters.

AI-Powered Analysis

Automated agents evaluate test quality, identify patterns across thousands of tests, and detect AI-generated tests that provide false confidence.

Behavior Coverage

Detects whether tests validate real workflows or implementation details.

Risk Alignment

Maps Tier 1/2/3 business-critical systems automatically.

Structural Validity

Ensures tests fail when they should.

Functional Gaps

Identifies missing integration, E2E, and contract test coverage.

Engagements start with a scoped assessment — book a diagnostic call to get yours.

Schedule your diagnostic to receive a scoped proposal

The Cost of an Incident

Early quality assessment prevents costly production incidents and focuses QA spend on critical gaps.

Typical Incident Cost
$50K–$500K

Production bugs cost 10–100x more to fix after launch.