Written by Adam Sandman, Inflectra CEO
by Jessica Moore, Inflectra Global Alliance Director
by CJ Sturgess, Partner Solutions Architect – AWS
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As organizations accelerate their transition to cloud-based application delivery and agile DevOps, automated testing has become an essential part of maintaining quality at speed. As development teams adopt agent coding tools like Kiro, Cursor, Cline, and Windsurf, testing bottlenecks become even larger. However, traditional test automation often requires extensive scripting by human developers, results in brittle tests that require significant maintenance effort, and lacks the intelligence needed to support evolving applications. This post describes how Rapise by Inflectra uses agent AI powered by Amazon Bedrock to automate test creation, adapt to application changes, and reduce QA cycle time by up to 70%.
Inflectra, an Amazon Web Services (AWS) ISV Accelerate partner, developed Rapise to bring agent AI capabilities to enterprise software test automation. Rapise uses Amazon Bedrock and Amazon Nova to automatically generate test scripts, adapt to application changes, and flag compliance issues. This solution addresses the challenges faced by traditional test automation for modern applications.
Testing is essential for delivery assurance and compliance, especially in regulated industries such as healthcare, life sciences, manufacturing, and financial services. However, traditional automation frameworks are struggling to keep up with the speed of modern agent AI-enabled software pipelines and the increasing complexity of enterprise systems. Inflectra’s Rapise test automation system, with agent AI capabilities through connectivity with Inflectra.ai, helps bridge this gap using a foundational model (FM) hosted on AWS.
How Rapise uses Amazon Bedrock and Amazon Nova
Rapise is powered by Inflectra.ai, Inflectra’s new cloud-based AI service built on Amazon Bedrock that allows users to perform a variety of generative AI and agent AI-enhanced software testing tasks.
Both Rapise and Inflectra.ai use Amazon Nova Pro and Claude Opus by Anthropic from the Amazon Bedrock model family to perform several key generative AI tasks. This includes creating automated test scripts from manual test cases, generating synthetic test data, analyzing patterns in test results, and identifying potentially vulnerable or poorly developed tests.
The following screenshot shows the use of AI capabilities to create automated test cases.
Figure 1: AI-powered automated test creation with Rapise
Rapise uses Inflectra.ai to provide some more advanced agent AI capabilities, powered by Claude Sonnet by Anthropic on Amazon Bedrock and the Amazon Bedrock family of models. Testers can use these AI agents to:
- Visually and autonomously test applications based on business scenarios and manual test cases to handle key exploratory testing use cases
- Use natural language to simulate user flows and perform test actions without the need for traditional, brittle object-based test automation.
- Automatically flag usability, accessibility, and compliance issues using a visual model based on your risk profile
- Automatically refactor existing automated test scripts and adapt to application changes using visual identification. This is a process known as “self-healing” testing.
The following screenshot shows how testers can include qualitative tasks as part of automated test cases. For example, a tester can ask a test agent, “How many input fields do you see?” or “What does the page look like?”
Figure 2: Using qualitative tests and tasks in automated test cases
Smarter, scalable test automation with Agentic AI
Traditional test scripts are often fragile. Minor UI updates or API schema changes can break your test flow. But with Agent AI in Rapise, the automation suite dynamically adapts. The Rapise agent learns from previous test runs and application metadata and uses this context to self-correct and suggest alternative test paths by visually inspecting your application.
This reduces test instability and maintenance overhead, ultimately increasing team productivity. For companies in regulated industries, these agents work with a wide range of Inflectra.ai solutions to help enhance traceability and compliance. To that end, Rapise and Inflectra.ai track the scope of requirements, automatically tag risks, and record interactions in an audit-ready format.
A leading biotech company recently selected Rapise, powered by Inflectra.ai running on Amazon Bedrock, to replace its existing aging testing infrastructure. By using a testing agent powered by Amazon Bedrock, the quality assurance (QA) team was able to reduce test case creation time by 60% and identify 35% more critical defects before product release. More importantly, Inflectra.ai-generated validation documents and Rapise-assisted traceability reports streamlined FDA validation workflows.
Overview of Rapise and AWS architecture
The following architecture diagram shows how Inflectra.ai integrates with Rapise, including support for customer-deployed Rapise instances. In particular, Inflectra.ai connects to customers’ Rapise API servers via a secure connection, allowing direct integration with test environments. Inflectra.ai provides support for the entire Inflectra solution, including Rapise and Spira. Currently supported models include models from the Amazon Nova and Anthropic Claude families.
Figure 3: Rapise using Inflectra.ai running on Amazon Bedrock and integrated with Rapise
conclusion
By integrating Amazon Nova and Claude models through Inflectra.ai, Rapise can generate automated test scripts from manual test cases, autonomously test applications using visual models, self-heal vulnerability tests by adapting to UI changes, and automatically flag usability and compliance issues. For teams dealing with complex compliance requirements and rapid development schedules, this means smarter QA, faster product releases, and higher reliability.
To get started with Rapise and Inflectra.ai, explore Inflectra on AWS Marketplace or contact an AWS Partner Specialist to learn how Rapise can support your modernization efforts.
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Inflectra – AWS Partner Spotlight
inflectra is an AWS Advanced Technology Partner and AWS Competency Partner that provides comprehensive software delivery and quality assurance solutions for both cloud and on-premises deployments. Inflectra’s integrated portfolio of application lifecycle management (ALM), testing, and automated testing systems helps organizations speed development while maintaining quality standards. Inflectra provides end-to-end traceability and agility in the software development lifecycle through seamless cloud deployment and extensive plug-in capabilities.
Contact Inflectra | Partner Overview | AWS Marketplace
