Service

QA Outsourcing Services

You want QA handled outside your own team. That should mean handing over the work, not taking on testers you still have to manage.

Most QA outsourcing ends up as a staffing arrangement. You get testers, and the management, the method, and the accountability stay with you.

QASource hires, ramps, and runs the team, and answers for release confidence. The QASource Intelligent Platform (QASIP) generates the test design and automation, and our engineers verify it before anything enters your suite. Every test stays in your repository, and every release candidate gets a written finding on what is safe to release.

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Tell us what's going wrong

Software QA outsourcing at QASource means handing your quality function to a team we hire, ramp, and run, rather than adding testers you manage. The team works in your repositories, your pipeline, and your standups, and an engineering director manages the engagement.

Every test is committed to your repository as your property. Every release candidate gets a written finding on what was validated, what was not, and the risk that remains. We answer for release confidence.

A staffing arrangement gives you testers to run. This gives you a team we run.

“Our current QA vendor isn’t working out.”

Taking over from a vendor

We overlap with the outgoing vendor, validate the sprint in parallel, and take ownership step by step. Releases don’t stop.

How the handover runs →

“We have no QA process at all.”

Building the function from zero

We learn how quality is managed today, then set up defect management, coverage, and reporting on the workflows that matter most. No large framework on day one.

An account we built from zero →

“I don’t want to deal with QA.”

The function runs for you

You interview the QA lead before we start. After that, we run the team and answer for the release. You see a written finding, not a management problem.

How this is different →

“We need QA engineers and hiring is too slow.”

A team without the hiring cycle

A team starts within a week of signing, sized to your change volume rather than a headcount, at a price we state up front.

What a team costs →

“There’s a release coming and we don’t have the people.”

Capacity for a release

Knowledge transfer and access in the first week, productive in the first sprint, and a first written finding within five to seven working days.

The first week →

None of these is quite yours?

Describe what you have today and what isn’t working. We reply within one business day.

Tell us what’s going wrong

Comparison	A Staffing Arrangement	A Team We Run
Who Runs the Team	You manage the testers.	We hire, ramp, and run the team. An engineering director manages the engagement.
Where the Tests Live	In the vendor’s tool.	Checked into your repository, as your property.
What You Get Each Release	A report on how many tests ran.	A written finding on what is safe to release.
When Tests Run	On a build, when someone schedules it.	In your CI/CD, on every change.
Who Stays	A bench that rotates.	The same engineers, for years.
Who Answers for the Release	You do.	We do. Engagement managed by an engineering director.

The full comparison on How We Work →

Case Study · Taken over from an in-house team

Repeatable Regression for an Electronic Health Records Platform

A healthcare technology company with complex clinical workflows, many integrations, and compliance requirements. Product knowledge sat with the in-house team, and automation for critical workflows and APIs was thin.

The Situation

The in-house team knew the product well, but much of what it knew was never written down. The company needed a structured, scalable QA approach without slowing product development.

What We Did

Worked with product, engineering, and clinical stakeholders to learn how providers used the application. Reviewed testing practices, critical patient workflows, integration dependencies, and production issues, then put API automation, business-critical workflows, and compliance validation first.

What Changed

Releases settled into a predictable cadence of two a week, with critical workflows and APIs covered by structured automation.

The First Written Finding

Repeatable regression testing was missing across critical workflows and APIs, so the impact of a change couldn’t be validated consistently. We recommended automating by business impact and compliance need.

1,650GraphQL API tests

150Compliance scenarios

35Days to deliver both

58Defects surfaced

Under a signed NDA, we walk you through engagements like yours in detail.

Every release candidate gets a written finding, measured against the definition of “safe to release”, we agree with you before the first release we test. On the left is what it covers. On the right is a real one.

The Finding Covers

Release Details: Version, build, planned date, and the scope of changes.
Testing Summary: The features and workflows tested, across functional, regression, integration, and compliance testing.
Execution Results: What ran, passed, failed, was blocked, or was not run, and the coverage that gives.
Automation Results: Pass and fail counts, regression and API coverage, unstable scripts, the pipeline status, and the critical scenarios automation doesn’t cover.
Open Defects: By severity, with the business impact of each.
Untested Areas: What was not validated, why, and any environment constraints behind it.
Risk That Remains: The outstanding risks, what they could do to the business, and the recommended mitigation.
Against the Agreed Criteria: Whether the quality standard, the critical workflow checks, and the defect acceptance criteria were met.
The Recommendation: Go, no-go, or go with documented conditions, with the reasons.

A real written finding

Written Finding

Promotional bonus feature · Release candidate, first weeks of the engagement

Go, after coverage was expanded

Release

A $50 trade-in promotion on a phone buyback platform. A phone valued at $200 qualified for a $250 payment with the bonus. First weeks of a takeover.

What Was Validated

By Hand: The full customer journey, from selecting a phone through applying the promotion to the confirmed order value, across phone models, device conditions, and eligibility rules. Expired codes were rejected, and the base value and the bonus were recorded separately.

By Automation: UI checks on code application and totals, API checks on eligibility, base value, bonus, and order total, the existing regression suite, and the pipeline’s own results.

What Was Not Validated

The promotion past checkout: a value change after inspection, a canceled order, two promotions at once, and whether the final payment matched the carrier’s records. None of it was in the existing manual cases or regression suite, because the previous approach stopped at order placement.

Risk That Remains

Inspection finds damage, and the $200 phone drops to $150. The system has to recalculate under the promotion rules. Get that wrong, and the customer is paid the wrong amount, two offers stack, a canceled order keeps its bonus, or the carrier’s report disagrees with what was paid. Across thousands of orders, small differences add up.

Against “Safe to Release”

Not met as found. Met after we expanded manual and automated coverage to the scenarios above, including the $200 to $150 case, every critical workflow passed, no critical or high-severity defect stayed open, and the low-risk limitations were written down and shared.

Go/No-Go Call

Go, recommended by our QA lead on verified results and a written account of the remaining risk. The product owner made the final decision after reviewing the finding.

The finding went past checkout. It confirmed that the right amount was paid and recorded once the order was complete.

Before You Start

You interview your QA lead before the engagement begins. Anyone who isn’t the right fit is replaced at any point. We also agree with you on what “safe to release” means for your product before the first release we test.
First Week

Your team starts within a week of signing. Knowledge transfer and access happen in that week. Our engineers speak with your product owners, engineering managers, and whoever runs QA today to learn the expectations, the recurring production issues, and the reason for the change. They request the test assets, review current coverage, and list the immediate risks.

By the end of the week you have an initial assessment, an access checklist, and a transition plan with owners, dependencies, and next steps.
First Sprint

Your team works in your repositories, your ticketing system, and your standups. It starts on existing test execution, defect verification, and lower-risk tickets, then moves to critical workflows and regression. Where a vendor is leaving, we work alongside them for an agreed overlap and take ownership step by step.

Full regression responsibility typically comes by the second sprint, depending on product complexity and how quickly access is in place.
First Written Finding

The first release candidate we test gets a written finding, and every release after it gets one too. Across recent engagements, the first finding has come within five to seven working days of the start, once access and knowledge transfer were in place.

We don’t wait for knowledge transfer to finish before telling you what we found.

What Should the Outgoing QA Vendor Hand Over?

We Ask For

Test plans, test cases, and regression suites
Automation frameworks, scripts, repositories, and execution instructions
The defect backlog and known production issues
Environment configuration and test data requirements
API documentation and integration dependencies
Release validation reports and deployment procedures
Business-critical workflows and compliance requirements
Access details and ownership of the testing tools

What Is Usually Missing

The documentation usually exists. The question is whether it reflects how testing is actually done.

Outdated Test Cases: Written for a product that has since changed.
An Incomplete Automation Handover: Scripts without setup instructions, dependencies, test data, CI/CD configuration, or the known failures.
The History Behind Closed Defects: Root causes, recurring patterns, and what else each one touched.
A Map From Tests to Workflows: Hundreds of test cases with no link to the business workflows they cover.
Undocumented Product Knowledge: Business rules, workarounds, and dependencies that live only in people’s heads.
What Earlier Releases Didn’t Test: Reports that say testing was complete, without what was skipped, deferred, or accepted as a risk.
Ownership of Open Work: Unresolved defects, environment issues, and pending activities with no clear owner.

We track each gap on the handover checklist. During the overlap, our engineers validate the critical workflows and the existing automation themselves, rather than relying on the outgoing vendor’s documentation.

Before Onboarding

Your website, product documentation, demos, tutorials, and videos, to understand your business, your customers, and the problem your product solves.
How the Product Is Used

Core workflows, recent releases, known production issues, and existing coverage come first, not every document in the wiki.
The People Who Know It

Product owners, business analysts, developers, customer support, and any existing QA engineers, for the priorities and the areas that need care.
A Knowledge Base You Keep

With your permission, we record walkthroughs, make short videos on key workflows, and keep FAQs, business rules, and known issues in your wiki or Confluence. New engineers onboard from it instead of from repeated sessions with your senior people.

AI coding assistants let your developers ship more change in every release. More of it reaches testing at once, and not all of it carries the same risk. We size your team to the amount and risk of change you produce, so capacity follows change volume instead of a headcount set at signing.

Here, the work starts with QASIP. It generates test design, automation, and maintenance for the changed surface of each release. Where documentation doesn’t exist, it can build a first suite from the application itself. QASIP comes with the team, and your data is never used to train or prompt external models. Nothing it generates reaches your repository until an engineer has run five checks.

Scenario Review

Each generated case is checked against the requirement, the acceptance criteria, and how the application actually behaves, negative and edge cases included.

Code and Framework Standards

Scripts are reviewed for coding standards, reuse, maintainability, and fit with your existing automation framework.

Test Data and Security

Test data is appropriate, sensitive information is protected, and no script carries hardcoded credentials or stray dependencies.

Execution

Each script runs in the test environment. Assertions and outcomes are verified, and failures or inconsistent results are investigated.

Peer Review and Merge

Validated scripts go through your code review and pull request process before they are merged into your repository.

Case Study · AI-generated code

A Search Box That Could Lose Patient Records

A healthcare application where doctors pick a patient’s condition, such as diabetes or high blood pressure, from a search box while recording a consultation.

The Change

A change wired that search to an external AI service to help find the right condition. Reports followed that the application sometimes froze while doctors were recording patient information.

What We Did

Instead of checking only that the search worked, our engineers checked what it did to save the patient record. Every search sent a request to the AI service, and the application waited for the answer before it did anything else. Under load the service slowed or rejected requests, the application froze, and patient notes were not saved.

What Changed

Live search was switched off, and a cache was added so the application stopped asking the service for the same answer twice. The fix shipped before the change reached doctors.

What It Would Have Reached

Lost consultation notes. An insurance claim the billing team couldn’t file, because the condition was never recorded. Inaccurate reports on visits and services. Patients missed for follow-up care.

Fix shipped before releaseNo doctor saw the freeze in production

Four areas protectedPatient records, billing, reporting, and follow-ups

QASIP makes test creation fast. Our engineers answer for whether the tests are right.

How we generate tests and verify them →How AI assurance works →

Comparison	Rebuild QA In-House	Add a Staffing Vendor	Hand Us the Function
Right When	QA is a competency you want to own, and you can hire for it before the release calendar runs out.	You have a strong QA lead and a working process, and you need hands for a defined period.	You want to outsource quality assurance, with someone accountable for release confidence.
What You Are Buying	Nothing. You build it, and you keep every part of it.	People, directed by your lead, usually by the hour.	A result: a team we run and a written finding on every release.
Your Time It Takes	Hiring, onboarding, and running the function sit with you and your leads.	Your QA lead directs the testers day to day. Their output is only as good as that direction.	An interview with the QA lead before the start, and the go or no-go review each release. The running is ours.
Time to Productive	The length of your hiring cycle, plus ramp.	As fast as your lead can direct them.	Starts within a week of signing. Productive in the first sprint.
The Wrong Call When	Hiring takes longer than the releases can wait, or your leaders’ time is better spent on the product.	Nobody on your side can run them, or you need someone to answer for the release.	You need a few hours of testing a month, or you want to keep the method and the management yourself.

Two of the three can be the right answer for you. We’ll tell you which on the first call.

A team of three to four engineers runs $150,000 to $200,000 a year, billed monthly. There is no annual commitment: you can leave with 45 days’ notice.

Change volume moves the number most. Risk, breadth, what exists already, and coverage hours move it too.

We don’t compete on price. Our rates are our rates.

See what a team costs →

What Stays Yours

Everything We Build

Tests, scripts, and documentation are committed to your repositories. You keep all of it when you leave, and it keeps running.

45 Days’ Notice

You can leave with 45 days’ notice, and no cause is required.

The First Delivery

A first delivery that misses the agreed coverage is not billed.

What happens if we end the engagement?

You give 45 days’ notice, and no cause is required. Every test, script, and document we built is already in your repositories, so it keeps running. The walkthrough recordings, FAQs, and business rules our engineers kept in your wiki stay there for whoever takes over.

Is QA outsourcing the same as staff augmentation?

It doesn’t have to be. Staff augmentation sends you people and leaves the management, the method, and the accountability with you. We hire, ramp, and run the team, and we answer for release confidence.

What is the difference between QA outsourcing and managed quality engineering?

QA outsourcing is the term buyers search for, and it covers everything from a staffing arrangement to a fully run function. Managed quality engineering is the arrangement we describe on this page: a dedicated team we build, staff, and run, whose outcome we own. The team is dedicated to your product, works on your tools, and answers for release confidence.

How much does QA outsourcing cost?

A team of three to four engineers runs $150,000 to $200,000 a year, billed monthly. There is no annual commitment: you can leave with 45 days’ notice. Change volume moves the number most. Risk, breadth, what exists already, and coverage hours move it too. We don’t compete on price.

Do we have to manage the testers ourselves?

No. You decide the size and the skills, and we hire, ramp, and run the team. Backup cover for leave and holidays comes at no extra cost.

How long does it take to move QA to a new vendor?

Your new team starts within a week of signing, with knowledge transfer and access in that first week. It is productive in the first sprint and typically carries full regression responsibility by the second. Across recent engagements, the first written finding came within five to seven working days of the start, once access and knowledge transfer were in place.

How do we move QA from our current vendor without disrupting releases?

Where the outgoing vendor is still in place, our engineers work alongside them for an agreed overlap, testing the sprint in parallel and taking ownership step by step. Before the first release we validate on our own, we agree with you on what “safe to release” means, including critical coverage, acceptable defect severity, and readiness criteria.

How much of our own team’s time will onboarding take?

Focused sessions with your product owner, developers, and any existing QA engineers during the first weeks. Our engineers review documentation on their own, record approved walkthroughs, and build a knowledge base in your wiki so the same questions aren’t asked twice.

Is the team dedicated to us?

Yes. Engineers on a dedicated engagement work only on your product and are not assigned to other work for the term of the engagement.

How do you stop the same production issues from coming back?

We review past incidents, find the workflows that fail most, and test there first. A production defect register tracks every escape, its root cause, and the regression or automated test added so it doesn’t recur. We report defect leakage, recurring defects, regression coverage, and release readiness over time.

Where are the engineers based?

In India and Mexico, with leadership in the United States and Canada. All are employees, not contractors. Working hours overlap with yours through aligned schedules, with evening coverage where a release needs it.

How do you protect our data?

Each engagement has its own access-controlled repositories for scripts, test data, automation, and documentation. Where required, our engineers work through your approved secure network or an isolated environment, with access limited to the engineers on your team. Our ISO 27001 and ISO 9001 certificates are held by bebo Technologies, QASource’s delivery entity in India, and you can check them by number in the IAF CertSearch public register. Fortune 100 companies audit our delivery centers on site, and you’re welcome to audit us before signing anything.

How do we choose a QA outsourcing company?

Ask to see comparable engagements and a sample of the written finding you would receive. Then ask who runs the team and who keeps the tests. At QASource, we show comparable engagements, and where we haven’t done something like it, we tell you that instead.

How can we see your work before we commit?

Start with the one-week Gap Diagnostic. It ends in a two-page written finding that you keep.

QA Outsourcing Services

What QA Outsourcing Means Here

Where You Are Starting From

How This Is Different From a Staffing Arrangement

Where We’ve Taken Over Before

Repeatable Regression for an Electronic Health Records Platform

The Situation

What We Did

What Changed

A QA Function for a Device Recycling Platform

The Situation

What We Did

What Changed

A Vendor Handover on a Salesforce CRM With Electronic Signing

The Situation

What We Did

What Changed

What You Get Before Each Release

The Finding Covers

Written Finding

Who Decides

See a Written Finding on Your Own Product First

How Does QA Outsourcing Work Here?

Before You Start

First Week

First Sprint

First Written Finding

What Should the Outgoing QA Vendor Hand Over?

We Ask For

What Is Usually Missing

How Our Engineers Learn a Product They Didn’t Build

Before Onboarding

How the Product Is Used

The People Who Know It

A Knowledge Base You Keep

What the Team Covers

The Same Team, Year After Year

QASIP Generates, Our Engineers Verify

Scenario Review

Code and Framework Standards

Test Data and Security

Execution

Peer Review and Merge

A Search Box That Could Lose Patient Records

The Change

What We Did

What Changed

Three Ways to Handle QA, and When Each Is Right

What Does Outsourced QA Cost?

What Stays Yours

Everything We Build

45 Days’ Notice

The First Delivery

Where to Go Next

Tell Us What You Want to Hand Over

What Buyers Ask Us