SoftServe QA Agent

Enhance your QA process with software agents that learn from user interactions and autonomously test UI, call APIs, and assist with code migration. 

Accelerated by NVIDIA NIM™ microservices, SoftServe QA Agent analyzes screens, builds internal knowledge graphs of your application’s structure, and takes actions. Whether validating a UI, making API requests, or identifying broken elements, the solution ensures everything functions as expected. With a human in the loop, you stay in control of the critical decisions while the automation manages routine tasks.
Manual QA often leads to errors, requires significant time and resources, and can delay software releases. SoftServe QA Agent solves these challenges head-on. It integrates AI for test orchestration, adaptive regression testing, and one-click automated test generation, enabling efficient QA.

SoftServe’s solution uses agentic architecture that can be deployed on any infrastructure, giving you the ability to reduce manual effort, improve test accuracy, and deliver software faster without compromising quality. 
Manual QA is Holding You Back. AI Testing Agents Help You Keep Pace.
 
Created by SoftServe, 
Accelerated by NVIDIA NIM
Improved Efficiency
3x
Faster test creation compared to traditional QA teams
Better Scalability
15
Parallel sessions with minimal latency
Significant Cost Savings
20-50‏‎%
More cost efficient than hiring external teams
Faster Time To Market
65%
Decrease in regression test cycle time

Reduce Qa Costs by 20–50%

Cutting QA costs doesn’t mean compromising quality. Speed up test creation, reduce manual effort, and ensure full coverage while staying within budget. See how SoftServe QA Agent makes it possible.

SoftServe QA Agent Overview

SoftServe QA Agent is an AI quality assurance platform that simplifies software testing. It uses a range of specialized agents to manage test planning, embedding, verification, failure diagnosis, and reporting. This approach improves traditional QA cycles with streamlined workflows, automated insights, and continuous improvements.

NVIDIA AI Enterprise powers critical solution components like advanced embeddings, large language model orchestration, and visual analysis, enhancing software testing efficiency. Flexible and adaptable, this solution supports teams maintaining legacy systems or rolling out new features.
  • Incorporate human-in-the-loop for critical decision points 
  • Turn manual steps into automated tests in a single click 
  • Run multiple sessions at the same time to reduce testing cycles 
  • Get real-time reports for instant insights and continuous optimization 

How it works

Test Orchestration

When a test is triggered by the user or through a CI/CD pipeline, the Process Request component takes over. It identifies the appropriate tests and hands them off to the Test Agent, which, in turn, interprets the instructions and, when needed, passes more complex tasks to the Navigator Agent.

Navigation and Execution

The Planner translates the test instructions into actionable steps, such as navigating through UI flows or making API calls. The Executor interacts with the application using the Platform Driver (like Selenium WebDriver for web apps) to carry out the automated test execution and then records the results.

Verification and Failure Analysis

The Verification Agent compares the actual test outcomes with the expected results, performing more advanced checks beyond simple Boolean validation. The Failure Agent collects logs and errors, provides detailed insights for AI-powered debugging, or suggests the next steps.

Results and Reporting

Once the test is complete, the Result Agent consolidates the outcomes into a final report, including test duration and resource usage. It then sends updates to stakeholders in real time via dashboards, email, or Slack.

Solution Architecture

NVIDIA AI Enterprise simplifies the deployment of AI workflows, allowing them to be scaled quickly using NVIDIA NIM microservices. It brings advanced tools and technologies together to enhance AI-driven automation in software testing, which makes the process more efficient and accurate

NVIDIA AI Enterprise Software Frameworks and Microservices

  • DeepSeek R1 NIM microservice
  • Vision Model NIM microservice
  • NVIDIA NeMo Retriever

Use Cases

Adaptive Regression Testing

Adaptive Regression Testing

As your application’s UI evolves, outdated test scripts can cause false failures and gaps in test coverage. The Testing Agent proactively identifies these outdated scripts and flags them for updates. This approach ensures your tests stay accurate, reduces unnecessary rework, and maintains reliable coverage across all releases
FinanceISVEnterprise

Automated Test Maintenance

Adaptive Regression Testing

As your application’s UI evolves, outdated test scripts can cause false failures and gaps in test coverage. The Testing Agent proactively identifies these outdated scripts and flags them for updates. This approach ensures your tests stay accurate, reduces unnecessary rework, and maintains reliable coverage across all releases
FinanceISVEnterprise

AI-Powered API Testing

Adaptive Regression Testing

As your application’s UI evolves, outdated test scripts can cause false failures and gaps in test coverage. The Testing Agent proactively identifies these outdated scripts and flags them for updates. This approach ensures your tests stay accurate, reduces unnecessary rework, and maintains reliable coverage across all releases
FinanceISVEnterprise

Adaptive Regression Testing

As your application’s UI evolves, outdated test scripts can cause false failures and gaps in test coverage. The Testing Agent proactively identifies these outdated scripts and flags them for updates. This approach ensures your tests stay accurate, reduces unnecessary rework, and maintains reliable coverage across all releases
FinanceISVEnterprise

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Our Implementation Cycle

01Assessment

  • Meet with the client to understand their needs and goals
  • Define success criteria and any potential constraints
  • ​Sign an NDA to access proprietary data
  • Demonstrate how our solution works using customer data
  • Plan the integration with the client’s systems (if applicable)
  • Discuss the license agreement terms with the client 
  • Duration: 2 weeks

02Deployment and Integration

  • Deploy SoftServe QA Agent for the client
  • Customize the solution to meet the client’s needs
  • Support the integration process and conduct trainings for the team 

03Continuous Support and Maintenance

  • Provide ongoing support post-deployment
  • Assist during new feature releases
  • Ensure ongoing maintenance and bug fixes 
  • Meet with the client to understand their needs and goals
  • Define success criteria and any potential constraints
  • ​Sign an NDA to access proprietary data
  • Demonstrate how our solution works using customer data
  • Plan the integration with the client’s systems (if applicable)
  • Discuss the license agreement terms with the client 
  • Duration: 2 weeks

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