Enterprise test automation programs rarely struggle because teams lack individual test ideas. They struggle when converting business intent into maintainable automation takes too long, and when test assets, execution evidence, and release decisions become disconnected across tools and teams.
Rapise 9.1 focuses on that operational gap. The release introduces AI Translator and MCP Chat, bringing natural-language and conversational capabilities directly into the Rapise and Spira testing environment. For enterprise leaders, the relevant question is how these capabilities can improve automation throughput while preserving review discipline, traceability, and accountability.
AI Translator: From Test Intent to Automation Work
AI Translator enables users to create automation using natural language. This gives test engineers and domain experts a more direct way to express the behavior that needs automated coverage, rather than beginning solely with the mechanics of building a test.
The capability matters when organizations need to expand regression coverage around a major release, a high-risk customer journey, or a frequently changing integration. Teams can begin with an understandable description of expected behavior and bring that intent into the automation environment where it can be developed, reviewed, and maintained.
Enterprise example: A financial services team is preparing a release that changes account-opening flows. Quality leadership can prioritize automation around identity validation, approval paths, and exception scenarios based on business risk. AI Translator supports a faster path from those stated test objectives into the automation workflow, helping the team direct effort toward release-critical coverage.
Day-to-day team example: A tester working with a developer can describe a newly agreed acceptance scenario in natural language and use AI Translator as part of creating the associated automation. The team still applies its normal peer review and test maintenance practices, while reducing the friction of starting from a blank automation asset.
