Artificial Intelligence Testing
Challenges & Criticality Of The AI Testing Industry
Whether it is the finance, healthcare, or entertainment business sector, each industry is putting efforts to innovate and utilize AI-based apps that assist in automating diverse tasks. This automation makes testing the apps a business-critical job. However, there are numerous testing-related problems and challenges that companies face while enabling AI for testing apps for boosting high quality, such as:
- Identifying the precise and explicit use cases
- Lack of alertness as to what requires to be done
- Verifying app behaviour based on the data involved as inputs
- Testing the app for functions, performance, and scalability
- Enable stability, security, and diverse functionalities


Benefits & Added Advantages Of AI Testing Services
AGSFT Intelligent Test Case Management Strategy Empowers
- Swifter deployments with a single integrated platform
- Advanced governance on test data as well as a suite
- Superior traceability with both backward and forward integration
- Comprehensive approach with real-time feedbacks and execution
AI-Led Testing Methodology & Focus Areas
At AGSFT, we have built four methodical approaches that include:
- Discover
- Explore
- Sense
- Respond
Focus areas comprise of:
- Optimization of Test Suites
- Defects and Errors Analytics
- Customer and User Sentiment Analytics
- Log Analytics and Scenario Traceability
