Managed Quality Assurance For Enterprise Software Testing

We give technology leaders peace of mind by embedding high-quality, enterprise-grade QA into fast-moving development cycles. Whether you need to scale, automate, or stabilize, we deliver software testing that works across your tech stack.

Managed QA should increase confidence in every release without creating new headaches.

Partnering with an advisor strengthens software testing processes through scalable automation, tight alignment to development cycles, and full visibility into quality across the stack.

With these improvements, teams stay focused, releases stay on track, and testing becomes a value driver instead of a bottleneck.

How It Works

Speak with our team to conduct an assessment and determine the customized option that best fits YOUR needs.

1. Intake and Rapid Assessment

Every engagement starts with a structured intake and technical discovery. We assess current QA processes, tooling, test coverage, and integration points within the SDLC to identify where improvements will have the most impact.

2. Scoping and Engagement Model Design

We build a flexible delivery model aligned to your operating rhythm—onshore, nearshore, or hybrid. Options include fully managed QA functions, embedded sprint-based teams, or targeted automation and performance engineering pods.

3. Team Standup and Knowledge Transfer

Resource deployment begins within days. Our teams come pre-equipped with reusable frameworks, toolchain familiarity, and enterprise delivery experience, minimizing ramp-up and accelerating early value.

4. Integration and Iterative Delivery

QA is embedded into existing ceremonies, tooling, and pipelines—whether that’s Agile, CI/CD, or custom workflows. Continuous feedback loops drive iteration without adding overhead or slowing down development.

5. Governance and Continuous Optimization

You’ll get consistent reporting, KPI dashboards, and a dedicated Customer Success Lead to oversee delivery. We hold regular governance reviews and surface opportunities to improve velocity, expand automation, or shift priorities in real time.

Our Trusted Advisors

Sayan Bhattacharya

Sayan Bhattacharya

Managing Director

Bringing over a decade of experience in technology and management, Sayan is known for his dynamic approach. He has a notable history of transforming IT projects, combining extensive management expertise with a passion for technology, marked by his previous roles at global technology leaders.

Arun Krishnakumar

Chief Architect

Accomplished Chief Architect with a proven track record of exceeding revenue targets through innovative, value-driven sales techniques and customer-centric adoption strategies. Skilled at leveraging technical expertise to drive business transformation across diverse industries. Recognized for consistently forging executive relationships built on trust and delivering measurable outcomes aligned with business metrics across various functions.

Kurt Vosburgh

Vice President of Sales, Global Technology

As Vice President of Sales, Global Technology at MSH, Kurt Vosburgh leverages strategic insights and operational expertise to implement scalable talent acquisition programs. Since 2011, he has led Recruitment Process Outsourcing initiatives, aligning solutions with client business operations to close gaps and drive cost-efficient growth.

How MSH Partnered with ADT to Build a Data Powerhouse Through Enterprise Analytics and Reporting Modernization

MSH played a pivotal role in transforming ADT’s data infrastructure and reporting capabilities, enabling the DNA-Marketing Team to achieve critical milestones throughout the year. From modernizing outdated processes to building scalable systems that unify data across the enterprise, the team tackled complex challenges with precision. Their work not only streamlined operations but also empowered leadership with actionable insights and enhanced customer engagement across key initiatives.

Challenge

  • Lead Lifecycle processes were reliant on outdated logic within Athena, creating inefficiencies and inaccuracies.
  • Address data was scattered across multiple systems, making it difficult to unify customer interactions and demographic mapping.
  • Data pipelines for key partners like State Farm were limited to specific use cases, restricting broader applications and insights.
  • Complex rewards programs like Black Hawk required robust data support to enable customer engagement initiatives.

Solution

  • Migrated the Lead Lifecycle to UDW and Orion, streamlining logic and connecting directly to reporting layers to improve performance tracking and organizational alignment.
  • Built a Master Address Table in Orion, standardizing addresses and linking them across systems for seamless enterprise-wide use.
  • Enhanced infrastructure to support customer rewards programs, ensuring scalability and seamless operation.
  • Enhanced partner reporting by transitioning to Orion, strengthening data management and reporting capabilities.

Result

"As we approach the end of the year, I want to look back and congratulate our MSH, off-shore team for all the outstanding work that they have done throughout this year, without which, the DNA-Marketing Team’s accomplishments would not have been possible. Thank you very much for all your hard work and achievements throughout the year.”

Andrea Ciba - Product Owner

Provide the business with cleaner, faster and more consistent data to promote self-service. Data Maturity score improved from 1.6 to 1.8 out of 2.0.

Decommission of on-prem Legacy system with Cloud based system by GCP. It saves software & hardware expenses in ADT up to $1M cost saving.

Optimised data pipeline job for faster data refresh & also making sure to reduce cloud compute unit consumption, which resulted in significant cost savings.

Enterprise Software Testing Solutions That Support Modern Dev Teams

Test Advisory and Strategy Design

Evaluate your existing testing function and identify opportunities to increase coverage, reduce manual effort, and align QA to business goals.

Automation Framework Development

Build custom frameworks that support rapid regression, CI/CD integration, and reuse across apps and teams. Speed up releases without sacrificing coverage.

Agile Sprint-Based Functional Testing

Integrate into sprint teams to manage functional test design and execution in real time. Keep testing in lockstep with feature delivery.

Performance Engineering and Load Testing

Validate stability under pressure with stress, spike, and load tests across apps, APIs, and third-party systems. Catch the slowdowns before users do

Data Quality and Assurance

Test the accuracy, integrity, and movement of data across environments. From warehouse validation to pipeline monitoring, every step gets checked.

UAT and Business Acceptance Testing

Coordinate end-user testing and feedback cycles. Make sure the software works as expected—for the people who actually use it.

Core Technology Capabilities

Test Automation Tools

Used to build and maintain automated test suites that integrate directly into CI/CD pipelines.

Tools We Use: Selenium, Cypress, Playwright, Appium

Performance Testing Platforms

Simulate load, detect bottlenecks, and validate system performance across complex environments.

Tools We Use: JMeter, LoadRunner, Gatling

CI/CD and DevOps Toolchain

Trigger automated testing across the pipeline—from commit to production—with full traceability.

Tools We Use: Jenkins, Azure DevOps, GitHub Actions

Data Validation and ETL Tools

Test data pipelines, migrations, and warehouse integrity to ensure accuracy at scale.

Tools We Use: Informatica, Talend, Snowflake, custom SQL

Test Management and Reporting

Centralize test case management, results tracking, and reporting for complete visibility.

Tools We Use: TestRail, Zephyr, qTest

Cloud and Environment Support

Provision, test, and validate in cloud-native environments to match production conditions.

Tools We Use: AWS, Azure, GCP

Frequently asked questions

What is enterprise software testing?

Enterprise software testing is a structured approach to validating large-scale applications, systems, and integrations that support critical business functions. It includes functional, performance, security, and data testing to ensure systems work as expected under real-world conditions. This type of testing requires coverage across APIs, third-party integrations, microservices, and legacy systems, often within a regulated or high-risk environment. The goal is not just to find bugs but to reduce risk and improve confidence in every release.

What are the four types of software tests?

The four foundational types are unit testing, integration testing, system testing, and user acceptance testing. Unit tests validate individual components or functions in isolation, typically written by developers. Integration testing ensures that systems and services work together correctly—especially useful when APIs or third-party systems are involved. System testing looks at the entire application end-to-end, while UAT confirms that business users can accomplish real-world tasks in the software before go-live.

What is the UAT process?

User Acceptance Testing (UAT) verifies that the software meets the needs of the people who will actually use it. This involves validating workflows, interfaces, and data handling from a business user's perspective. UAT is typically conducted in a staging or pre-prod environment and includes structured test cases, issue logging, feedback loops, and final approval. QA teams often coordinate and support UAT by managing test plans, tracking execution, and ensuring traceability back to requirements.

Why is enterprise application testing important?

Enterprise applications are deeply connected to revenue, operations, and customer experience, which means a bad release can cause financial losses or reputational damage. Testing ensures stability across integrations, consistency in data handling, and performance under load. It helps teams detect regressions early, avoid production incidents, and deliver features with confidence. Without it, you’re rolling out changes blindly in environments too complex to trust without validation.

What are the benefits of working with a software testing advisor versus in-house only?

An experienced testing partner brings playbooks, frameworks, and tooling that have been proven across industries. This accelerates ramp-up time, strengthens coverage, and reduces the manual overhead of managing QA in-house. Advisory partners also provide unbiased assessments, help teams adopt automation and CI/CD best practices, and scale up or down without losing momentum. For enterprise environments with complex architecture or compliance demands, external support often adds structure where internal bandwidth is limited.

How fast can a team be deployed?

Initial resources can typically be onboarded in 5–7 business days, depending on access to environments and existing documentation. Full delivery teams, including automation engineers, test leads, and performance specialists, are usually deployed in under 30 days. The process includes knowledge transfer, framework setup, and baseline coverage validation before full integration. Teams can align to sprint cycles immediately, and delivery models are flexible enough to scale based on priority shifts.

Let’s make your QA stronger, faster, and easier to scale

Whether you need end-to-end test ownership or a partner embedded alongside your team, we’ll help you increase coverage, reduce noise, and deliver with confidence. Reach out and see how managed QA can raise the bar without slowing you down.

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