Enhance customer experience with AI-driven quality validation
With rising customer expectations, organizations need smarter, AI-driven ways to ensure quality, performance, and reliability.
Enhops helps enterprises build agile, scalable Quality Engineering (QE) functions powered by AI-driven automation. By combining deep domain expertise, intelligent frameworks, and pre-built accelerators, we deliver end-to-end QE solutions that strengthen product quality, reduce risk, and accelerate release cycles.
Enhances a product's functionality, reduces costs, improves the product life cycle, and increases customer satisfaction by mitigating risk, minimizing costs, and improving user experience.
Integrating a holistic validation approach to ensure a rapid success for your digital transformation.
Maintain close collaboration with QA & testing teams to ensure quality is integrated into the business plan.
Provide seamless integration in Large Language Model (LLM) testing through automation, ensuring high accuracy and reliability.
Success Story
01
Capture business goals, define KPIs, understand product vision
02
Define quality goals and integrate testing into agile sprint plans
03
Design scalable frameworks; choose tools (AI-driven, CI/CD-ready)
04
Auto-generate, self-heal, and maintain test scripts across layers
05
Provision production-like environments and manage test data
06
Validate business workflows and user journeys
07
Gate releases with risk analysis, metrics, and go/no-go insights
08
Refine test coverage, adapt to change, and drive feedback loops
Our proprietary framework designed to understand application context and generating test cases, impact analysis helping teams speeding up releases.
We break down high-level testing needs into clear, testable user stories early in the requirements phase.
We assess code quality, structure, and hygiene to identify performance and security issues.
We create test strategies that balance automation best practices with agile collaboration.
We implement Shift-Left Automation using DevTestOps tools to help you deploy, test, configure, & monitor all your applications effectively & automatically.
We turn acceptance criteria into automated tests through discovery, formulation, and automation.
Most QA teams focus on finding defects after development. Enhops builds quality into every stage—design, development, and deployment. The focus shifts from defect detection to defect prevention through AI-driven automation and continuous testing.
QA automation ensures functionality, performance, and reliability through predefined test cases—it’s structured and consistent.
AI-driven QE enhances automation with learning, adaptability, and self-healing to maintain quality continuously. As a trusted AI testing provider, Enhops leverages AI-driven frameworks to optimize coverage, reduce manual efforts, and speed up delivery. Our customizable approach streamlines:
We accelerates releases by starting testing early and running it continuously through shift-left practices. AI prioritizes what to test based on business impact and recent code changes, helping teams release faster while maintaining confidence in quality.
No. Enhops works with your existing ecosystem—Azure DevOps, JIRA, Selenium, Cypress, TestRail, and Jenkins. You don’t need new licenses or infrastructure. We plug in automation intelligence and governance to make your current setup smarter and faster.
Every engagement starts with ImpactNOW, a zero-cost Proof of Concept. In 2–4 weeks, we assess QA maturity, identify automation opportunities, and deliver measurable outcomes. The goal is to prove value before long-term investment.
Yes. Through ProArch’s penetration testing services, we extend testing beyond functionality to uncover vulnerabilities across applications, APIs, and infrastructure. Simulated attack scenarios reveal weak points early with clear remediation steps.
Explore your Pen Test OptionsYes. Using AIxamine, ProArch’s Responsible AI framework, we evaluate LLM and GenAI systems for accuracy, hallucination, bias, and security. This ensures responsible and predictable AI behavior.
Enhops tracks key KPIs like defect leakage, automation coverage, execution time, and release velocity. Progress is measured sprint by sprint through dashboards, making quality improvement visible and continuous.
Yes. Enhops covers functional, performance, accessibility, reliability, and security testing within the same framework—ensuring every release is scalable, compliant, and production-ready.
