Transform Quality Assurance with AI Agents

AgentQA by Akira AI automates testing workflows, predicts defects, and provides continuous monitoring to help QA teams deliver high-quality software faster and smarter

Overview

Discover How Enterprises Achieve Superior QA with AgentQA

Learn how businesses leverage AgentQA to streamline QA, improve accuracy, and accelerate release cycles

test-case-creation-icon

Test Case Creation

Accelerate QA timelines with 40% faster test case generation using intelligent automation

defect-reduction-icon

Defect Reduction

Achieve 30% fewer post-release defects through smarter validation and proactive issue detection

continously-testing-icon

Continuous Testing

Enable 24/7 automated testing across environments for seamless integration and deployment confidence

reduced-manual-effort-icon

Reduced Manual Effort

Cut down manual QA efforts by 50% with intelligent agent support and optimized test execution workflows

Features

Empower Your QA Teams with Autonomous AI Agents

Boost QA efficiency and precision by automating repetitive tasks, predicting high-risk defects, and continuously monitoring performance

01

AI creates comprehensive test sets based on requirements, ensuring full feature coverage and saving time

02

Machine learning identifies high-risk code areas before defects occur, focusing QA efforts where it matters most

03

Run tests around the clock across different environments, catching issues early without manual intervention

04

Automatically categorize and assign bug reports to the right teams, streamlining communication and reducing ticket overload

Use Cases

AgentQA-Powered Quality Assurance: Real-World Use Cases

Explore how QA teams leverage AgentQA to ensure flawless software delivery

copilot

E-commerce Platform Testing

Automates cross-browser, multi-device testing to guarantee smooth checkout, product search, and payment workflows during peak sales

copilot

Mobile Application Testing

Runs automated tests on multiple OS versions and device types, uncovering performance or UI inconsistencies early

copilot

CI/CD Pipeline Integration

Executes automated tests on each code commit, providing immediate feedback and preventing regressions before release

copilot

SaaS Performance Testing

Simulates thousands of users to identify bottlenecks and optimize platform responsiveness under load

saas-performance-testing-image
copilot

Agent Workflow Testing

Automates end-to-end testing of agent workflows—such as ticket handling, knowledge base access, and escalations—ensuring consistent performance and faster response times across support channels

agent-workflow-testing-image

Seamless Integration with Your QA Ecosystem

AgentQA by Akira AI seamlessly integrates with your existing QA infrastructure—including test management systems, bug trackers, and CI/CD pipelines—ensuring streamlined workflows and scalable, end-to-end test automation

solutions-mid-banner
Benefits

Boost QA Efficiency with Quality Assurance Manager AI Agent

Deploy AI-powered automation to streamline test case creation, defect prediction, and continuous testing, improving QA productivity and accuracy

01
Predictive Analytics for Proactive Testing

Leverage historical data to identify high-risk code areas and defect potentials, enabling QA teams to focus on the most critical application parts

  • checkmark

    Focus on high-risk areas : Prioritize testing on high-risk modules

  • checkmark

    Catch issues early : Reduce defect occurrence through early detection

task-breakdown

02
Automated Test Case Generation

Automatically generate comprehensive test sets from product requirements or user stories, saving time and ensuring thorough feature coverage

  • checkmark

    Faster test case creation : Enable agents to quickly create test cases for faster QA cycles and improved coverage

  • checkmark

    Complete and accurate test coverage : Empower QA teams with precise, end-to-end test coverage for maximum reliability

seamless-integration-with-ecosystems

03
Defect Prediction Powered by Machine Learning

Predict defects before they occur by analyzing code patterns and previous issues, helping teams prevent escalation and improve quality

  • checkmark

    Early identification of potential bugs : Identify potential bugs early to reduce rework and accelerate release cycles.

  • checkmark

    Minimize critical defect risks : Identify potential bugs early to reduce rework and accelerate release cycles

real-time-data-processing

04
NLP-Driven Bug Report Analysis

Use natural language processing to understand and categorize bug reports, streamlining assignment to the correct teams and reducing manual ticket handling

  • checkmark

    Automated bug triage and categorization : Automatically triage and categorize bugs to speed up resolution and reduce manual effort

  • checkmark

    Improved communication and faster resolution : Enhance team communication to accelerate issue resolution and reduce downtime

multi-agent-collaboration
01

Predictive Analytics for Proactive Testing

Leverage historical data to identify high-risk code areas and defect potentials, enabling QA teams to focus on the most critical application parts

02

Automated Test Case Generation

Automatically generate comprehensive test sets from product requirements or user stories, saving time and ensuring thorough feature coverage

03

Defect Prediction Powered by Machine Learning

Predict defects before they occur by analyzing code patterns and previous issues, helping teams prevent escalation and improve quality

04

NLP-Driven Bug Report Analysis

Use natural language processing to understand and categorize bug reports, streamlining assignment to the correct teams and reducing manual ticket handling

AgentQA: Intelligent QA Lifecycle Automation with Akira AI

Accelerate quality assurance with autonomous AI agents designed to transform your testing workflows—from planning to post-release analysis