DATA ENGINEERING

AI-Powered Predictive Bots to Optimize Test & QA Processes

Accelerate every phase of your test cycle

AI bots & artificial intelligence software testing bots
Infostretch pre-configured bots automate key portions of your test cycle to help speed and optimize testing and reduce risk.

ai bot for test and QA processes automation
the challenge

Digital requires increased levels of automation

For many enterprises, test and QA processes can be a bottleneck for software delivery. A lack of automation capability, test case backlogs, resource constraints, and the inability to put best practices into action consistently are some of the primary reasons.

AI-Powered Predictive Bots
What we do

AI-POWERED PREDICTIVE BOTS with the latest digital technologies

Our pre-configured, AI-powered predictive bots can accelerate your entire test cycle and help automate a much larger part of your test footprint. Our capabilities include:

  • Migration & Test Case Generation
  • Test Optimization
  • Test Environment Management
  • Prediction & Prescription
  • Test Automation

Our Offering

End-to-end AI-POWERED PREDICTIVE BOTS SERVICES

Infostretch Can Help You Navigate Through Your Most Difficult Test Cycle & QA Processes With Our Expertise In Ai-powered Predictive Bots Services.

Some of these include:

migration bots
MiGRATION
BOT

To migrate source framework assets to target framework assets.

test optimization bots
TEST optimization
BOT (TOBOT)

To de-duplicate, componentize and optimise test quality using AI and ML.

test execution environment bot
Test EXECUTION
ENVIRONMENT BOT

To automate setup and configure continuous integration and test execution environments.

framework setup bot
FRAMework
SETUP BOT

To setup project environment and create necessary template out of the box.

results analyzer prediction and prescription bot
Results Analyzer
prediction & prescription

To analyze results, automate error bucketing, test performance analysis and remediation.

predictive QA bot
Predictive
QA BOT

To predict future defects and recommend action based on historical data.

validation and acceptance bot
Acceptance
BOT

To validate and accept coding standards, text execution status, and data separation with flexibility to define custom rules.

test data management bot
Test data
management

To integrate data from all aspects of the testing cycle with consumer data for more insight driven and impactful product development.

Data Driven Automation
Automation
accelerator

To increase tester productivity through locator generation, repository access, record keeping, debugging and maintenance.

Our methodology

Reveal
how we do it

life-scan
“Competitive pressures are driving enterprises to push new innovations faster to market. With increasing adoption of Agile and DevOps, traditional software testing processes are not able to scale. By deploying AI-powered BOTs for test automation, organizations can now focus more on delivering superior customer experiences rather than solving everyday testing challenges.”
Ed Hein
Manager, Digital Verification and Validation
nelson-hall
“Enterprises are looking to AI to exploit the wealth of data found in various levels of their IT organizations, whether at the software development level, or on the production side. With AI, they have an untapped opportunity to better identify where defects lie, increase the quality of applications, and ultimately improve the UX of end-users, customers, and other stakeholders.”
Dominique Raviart
IT Services Practice Director