QA Agent

Quality Assurance AI Agent

Next-Generation QA Automation with AI × Browser Automation

AI agents read text-based instructions and automatically operate browsers. AI agents execute UI testing, regression testing, and routine monitoring, automating QA processes that were highly dependent on specific individuals and labor-intensive. Achieve both quality improvement and enhanced development productivity simultaneously.

Common Challenges in System & Application Development

Testing depends on specific individuals, leading to quality variations

Business users are too busy to allocate sufficient time for UAT

Quality standards for vendor deliverables are unclear

Unable to grasp change impact scope, defects discovered after release

Cannot ensure consistency across multiple systems and dashboards

UX improvement feedback cycle is not functioning

Solutions with AI Agents

Automated Browser Operation

AI agents automatically operate browsers, executing tests and evaluations on behalf of humans

Text-Based Instructions

Anyone can execute tests with text-based instruction documents

Flexible Change Adaptation

AI flexibility enables adaptation to dynamic screen and system changes

Virtual Persona UAT

Diverse feedback through UAT with virtual personas (executives, field workers, IT beginners, etc.)

UX Report Generation

Generate reports that go beyond simple testing to include UX issues and improvements

Exception Case Detection

Detect exception cases that humans might miss (monkey testing)

Use Cases

01

System & Application Quality Assurance

  • Automated UI testing during development, building quality from upstream phases
  • Automated regression testing during maintenance
  • Cross-system/application numerical and display data consistency checks
02

Quality Improvement & UX Enhancement

  • UAT and UX improvement feedback by virtual AI personas
  • UX consistency checks and design improvement feedback
  • Exception value detection including unexpected cases
03

Production Monitoring

  • Regular health monitoring of access and login availability via UI
  • Data update and display data validity checks
  • Detection and notification of UI display issues and element load failures

Features

Text-Based Test Instructions

No code required. Document operation instructions and requests

Browser Automation

AI operates browsers via LLM + MCP (Chrome/Edge/others)

Detailed HTML Reports

Organize results with execution steps and screenshots

Integrated Dashboard

View success/failure of each test case across the board

SSO/MFA Support

Connect to pre-authenticated local browsers

On-Premise Deployment

Built within client environment for secure use as a closed shared asset

Browser Automation

Detailed HTML Report

QA Agent HTML Report Sample

Integrated Dashboard

QA Agent Dashboard Sample

Service Overview

QA Agent is an enterprise QA automation platform built to match each client's unique business challenges and system environment.

Starting from a base template that aggregates technology and knowledge, we build an AI agent execution environment optimized for each company's business characteristics, authentication methods, and UI/system environment.

This service is not SaaS or a package solution, but a co-creation model where we build dedicated AI agents optimized for client operations.

In an era without clear answers, we create new ways of utilizing AI. We support ambitious clients in their challenges.

Implementation Process

1

Implementation & Setup Phase

2-3 months

Launch your company's dedicated QA automation platform in a short period

  • Overall concept development, business challenge and adaptation area review
  • System configuration/authentication method/business flow analysis
  • Determine adaptation areas and target scope
  • Optimize base template for company-specific QA processes
  • Build AI agent platform in client environment
  • Evaluation through actual testing, feedback response, production preparation
2

Production Operation Phase

AI Partnership Contract

Comprehensive support for operation, improvement, and expansion, building an environment where you can focus on business results

  • Monitoring, maintenance, and tuning in production environment
  • Quality data analysis/improvement review
  • Monthly regular, quarterly, and annual reviews

AI Advisory

  • AI agent adaptation area expansion and monitoring scope expansion review
  • Comprehensive support for DX promotion and AI agent utilization including other areas

Contact Us

Feel free to contact us for consultations about QA Agent or any inquiries

Contact