Quality assurance just got a major AI upgrade. Appvance, a leader in generative AI for software QA, has announced the GENI Transformation Factory, a platform expansion designed to generate, transform, and regenerate every QA artifact across the software development lifecycle.

Built with Model Context Protocol (MCP) support, GENI allows enterprises to plug in any compliant large language model (LLM)—whether open source, commercial, or homegrown—giving organizations unprecedented flexibility in AI-first testing.

An AI Factory for QA Artifacts

QA relies on a complex chain of artifacts: business requirements, epics, user stories, Gherkin scenarios, test cases, and executable scripts. Historically, these artifacts were maintained separately, often inconsistently, leading to coverage gaps, rewrites, and fragile links between requirements and tests.

The GENI Transformation Factory changes that. Any artifact can now serve as input to generate any other, upstream or downstream, in real time. Test cases can regenerate user stories; business requirements can flow seamlessly into scripts; scripts can produce summaries or even business rules. Early trials show human labor reductions of 85–93% compared to manual artifact creation.

“AI can now design, generate, and regenerate the full set of QA artifacts with limited human intervention,” said Kevin Surace, CEO of Appvance. “With GENI, QA finally has a living, bidirectional system of record. Teams can move downstream from requirements to execution or upstream from scripts to business rules in minutes.”

How It Works

The GENI Transformation Factory builds on Appvance’s Digital Twin technology and proven GENI™ and AI Script Generation engines to automate artifact workflows:

• Requirements → Execution: Convert business requirements into epics, stories, scenarios, cases, and scripts.

• Execution → Requirements: Input test cases or scripts to regenerate summaries, user stories, or business requirements.

• Seamless Consistency: Ensure all artifacts stay synchronized, eliminating costly rewrites and misalignments.

Thanks to MCP, enterprises can execute these transformations with any compliant LLM, whether on-premises, in a private cloud, or via commercial providers.

Why MCP Matters

Historically, adopting AI-first testing often locked enterprises into a single LLM vendor. MCP acts as a “universal translator,” enabling CIOs and CTOs to swap models without disruption—future-proofing QA infrastructure while meeting enterprise governance, security, and strategic priorities.

Key Benefits

• CIOs/CTOs: Drive AI-led transformation while maintaining freedom of LLM choice.

• QA & Development Teams: Reduce manual artifact work and focus on strategy.

• Enterprises: Accelerate releases with higher-quality software.

• Service Providers: Deliver adaptable, client-ready QA automation with reduced labor costs.

Availability

The GENI Transformation Factory with MCP support will roll out to Appvance clients throughout 2025. Early-access programs are now open, with deployment options both on-premises and in the cloud.

For enterprises struggling with fragmented QA processes, GENI promises a radically more efficient, AI-driven approach, turning manual testing artifacts into a fully automated, living system.

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