Autonomous & Generative Testing
Why does Autonomous & Generative Testing matter?
Composable enterprise architectures have made traditional QA obsolete. Manual testing and brittle automation cannot match the speed of continuous deployment. Test suites break with every application update, requiring constant maintenance. Organizations need intelligent testing that adapts automatically, provides faster feedback, and scales with business growth without expanding QA teams or slowing development velocity.
From Challenge to Competitive Advantage
Fragile Test Suites
Test automation breaks with every application update, requiring constant manual maintenance that consumes development resources and slows delivery.
Inadequate Coverage
Manual testing approaches miss edge cases and security vulnerabilities in complex applications, leaving critical defects undetected until production.
Slow CI/CD Pipelines
Time-consuming traditional testing approaches create bottlenecks that prevent organizations from achieving rapid, continuous deployment capabilities.
Talent Gaps
Limited availability of specialized performance, security, and testing expertise creates capacity constraints that limit comprehensive quality assurance.
What Autonomous & Generative Testing
can do for you
Strategic Capabilities and Expertise
Strategic consulting to design comprehensive autonomous testing roadmaps aligned with your development practices and business objectives.
AI-powered suite that automatically generates, executes, and maintains core functionality tests without manual script maintenance.
Leverage generative AI for exhaustive microservices and API validation including edge cases and error handling scenarios.
Autonomous generation of realistic load scenarios to identify performance bottlenecks and scalability issues before production.
Fully managed service with Encora teams and AI agents owning quality assurance processes throughout your development lifecycle.
Create realistic, anonymized, comprehensive test data for robust testing environments without compromising production data security.