AI Testing & Verification
Move Testing From a Bottleneck to an Agentic Engineering System.
Build testing and verification workflows that keep pace with AI-assisted development.
Overview
What Is AI Testing & Verification?
What Is AI Testing & Verification?
AI testing and verification is the practice of combining automated, AI-assisted and human verification to confirm that AI-generated and AI-assisted code works correctly, fits the architecture and is safe to release.
AI can increase the speed and volume of software changes. This can make testing, verification, architecture consistency, security and deployment controls increasingly important.
AI-generated code requires AI-assisted verification, so testing needs to be engineered as a system rather than left as a manual step at the end.
Why It Matters
Why Verification Becomes the Constraint
Speed creates risk
AI can generate code quickly, but generated code can still contain functional, architectural or security issues.
Testing becomes the bottleneck
When agents produce changes faster than people can verify them, testing capacity starts to limit delivery.
Verification has to scale
Agentic testing workflows help verification keep pace with development, without removing human judgment where it matters.
Coverage
What We Cover
Test Creation
- Test generation
- Unit testing
- API testing
- Integration testing
Test Operations
- Regression testing
- Failure analysis
- Test maintenance
Release Confidence
- Quality gates
- AI evaluation
- Human verification for critical systems
Approach
How We Approach It
Assess
Review current testing practices, coverage and bottlenecks.
Design
Define the verification strategy and quality gates.
Implement
Introduce agentic test generation, execution and failure analysis.
Evaluate
Measure how well agent-produced tests and checks perform.
Improve
Continuously maintain and refine the verification system.
Principle
Our Position
AI-generated code requires AI-assisted verification. But human verification remains important for critical systems.
FAQ
Frequently Asked Questions
What is AI testing and verification?
AI testing and verification is the practice of combining automated, AI-assisted and human verification to confirm that AI-generated and AI-assisted code works correctly, fits the architecture and is safe to release.
Why does AI-generated code need verification?
AI can generate code quickly, but generated code can still contain functional, architectural or security issues. Automated and human verification helps ensure that increased development velocity does not create disproportionate engineering risk.
Can AI agents write and maintain tests?
AI agents can generate tests, run them, analyze the results and help maintain test suites, within defined permissions and with changes prepared for human review.
Does AI testing replace human verification?
No. AI-generated code requires AI-assisted verification, but human verification remains important for critical systems.
What are quality gates?
Quality gates are defined checks that a change must pass before it moves forward in the delivery process, such as automated tests, review and security checks.
Explore
Related Capabilities
Talk to an AI Engineering Architect
Tell us about your engineering environment and what you're trying to improve.