We find what's worth automating, build the framework, and make it stick. No trial-and-error. No months of rework
We don't recommend tools before we understand your team. Every engagement starts with your SDLC, tech stack, and release goals — then we build a consulting scope around what's actually blocking you.
We evaluate your current QA Automation, test documentation, coverage gaps, and CI/CD setup. The output: a clear picture of where automation pays off first and what it will take to get there. Teams with no existing automation and teams with broken frameworks both use this as a starting point.
We design a scalable framework for your application layer, team size, and stack — web, mobile, API, or desktop. If your team already runs one, we adapt to it rather than replace it. These architecture decisions determine how well your suite holds up over the next 2–3 years, so we get them right upfront.
Choosing between Playwright, Cypress, Selenium, or WebdriverIO is not a trivial call. We start with your platform — web or mobile — then map each tool’s strengths against your context: browser and device coverage, parallel execution needs, existing skill sets, and budget. You get a justified recommendation.
We integrate your automation framework into GitHub Actions, GitLab CI, Azure Pipelines, Jenkins, or your existing pipeline of choice. Every commit triggers automated validation. Developers get pass/fail feedback in minutes.
We help you identify where AI tools (Copilot, Claude, Cursor, Custom Agents) reduce test authoring time, where they introduce risk without review, and how to build a workflow where speed and accuracy coexist.
If your current framework is brittle, slow to maintain, or built on deprecated tooling, we scope the migration. We identify what to salvage, what to rewrite, and how to execute the switch without disrupting your release cycle mid-flight.
At QA Madness, we adapt to where you are — from zero automation to a broken legacy framework — and move you to a working, scalable state.
We run a structured session with your engineering and QA leads to map your SDLC, stack, team size, and release goals. This is not a sales call. Its goal is to define the consulting scope and what we'll deliver.
Our experts review your existing test coverage, test documentation, tool configuration, CI/CD integration, and framework architecture — if any exists. We identify where automation is missing, where it's failing, and where the fastest wins are.
We deliver a prioritized automation roadmap: which test layers to automate first, which tools to use, what ROI each phase delivers, and what the realistic timeline looks like. Really specific one, not generic.
We architect the framework and validate it with a working PoC on your real codebase — actual tests, real pipeline triggers. You see it running before committing to full-scale build. If the architecture has issues, we catch them right here.
We integrate the framework into your pipeline and deliver full documentation — architecture decisions, setup guides, maintenance playbooks. We train your team, or hand off to our automation engineers for ongoing execution. Your choice.
Getting automation right the first time costs a fraction of fixing it later. Here is what a well-executed consulting engagement moves — in measurable terms.
Architecture, tooling, coverage, CI/CD, flakiness, docs, team gaps.
Discovery, audit, strategy, and a working PoC.
Playwright, Cypress, Selenium, and WebdriverIO mapped to your platform.
One architecture decision covering web, mobile, and API.
Jenkins, GitHub Actions, GitLab CI, Azure, TeamCity — scoped to yours.
Where AI cuts authoring time, and where human review stays mandatory.
Automation backlog ranked by business risk.
Architecture proven on your real codebase before full build.
The right tool upfront avoids a migration 2 years in.
“QA Madness has established a smooth workflow through effective communication. The team is trustworthy, efficient, and hardworking.”
“Thanks to QA Madness’s efforts, we are able to resolve technical issues and keep our platforms optimized and bug-free.”
“QA Madness was seriously professional. They listened to our needs and gave us the kind of work we expected. As a result of their efforts, we can locate a bug in the test environment, which prevents issues from entering production. I would recommend them, 100%.”
“They’ve always been very professional, prompt, and available when we needed them. We’ve never had any issues or needed to go back and teach them how to meet our standards.”
Before starting a test automation consulting engagement, engineering leads and product teams tend to ask the same practical questions. Here are our direct answers.
Test automation consulting is an expert-led engagement where a QA specialist — or team — evaluates your current testing setup, identifies automation gaps, selects the right tools, and designs a framework and strategy specific to your product and team. It's the step before or alongside implementation that determines whether automation scales or stalls.
Test automation services deliver execution: engineers build scripts, run tests, and maintain suites. Test automation consulting delivers strategy: what to automate, how to architect it, which tools to use, and how to integrate it into your delivery pipeline. QA Madness provides both — and the consulting phase is what makes the execution phase succeed.
You need consulting when automation isn't working the way you expected — coverage is low, maintenance is high, tests are flaky, or the framework doesn't fit CI/CD. Also when you're starting automation from scratch and want to avoid the most expensive mistakes early. If you already know what you want to build and have a clear strategy, you need engineers. If you're not sure, you need consulting first.
A QA Madness automation audit covers: existing framework architecture, tool configuration, test coverage by application layer, CI/CD integration health, test stability and flakiness rate, documentation quality, and team capability gaps. The output is a prioritized list of findings with actionable recommendations.
The discovery and audit phase typically takes 1–2 weeks. Strategy and roadmap delivery adds another week. The full framework design and PoC phase runs 2–4 weeks depending on scope. End-to-end, most clients complete the consulting phase in 4–6 weeks and move into implementation immediately after.
Yes — and this is one of the most common scenarios. Teams with existing automation often have coverage gaps, brittle scripts, or a framework that doesn't integrate cleanly with CI/CD. We audit what exists, identify what to keep, what to refactor, and what to replace. Migration consulting is a distinct service within our offering.
Yes. QA Madness has active delivery experience with AI-assisted test automation — including AI-generated test cases, prompt-engineered test suites, and LLM-augmented test maintenance workflows. We help teams identify where AI tools reduce authoring time, where human review is non-negotiable, and how to build a hybrid workflow that delivers speed without sacrificing accuracy.
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