- AI-Augmented QA
- Human QA judgment
- Release confidence
Turn automation debt into release signal your engineers trust.
Whether automation is missing, flaky, trapped in a legacy framework, or failing at scale, AQA modernizes the critical path first—and leaves the architecture, code, CI rules, and operating standards with your team.
Modernization at a glance
Start where your automation is today. Modernize the release-critical slice first.
- Starting point
- Build, rescue, migrate, or scale
- First useful signal
- Within a 14-day priority scope
- Delivery principle
- Critical-flow-first implementation
- Ownership
- Code, standards, and CI assets stay with your team
Independent review profiles
Independent evidence, clearly linked to its source.
Review the published profiles and rankings before deciding whether AQA belongs inside your delivery system.
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Client rating What clients valueView the profile
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Client ratingView the Bucharest rankingTop 1 Software Testing Companies
Bucharest, Romania
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Client ratingView the Bucharest rankingTop 1 Software Testing Companies
Bucharest, Romania
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Client rating Published category scoresView the profile
- Budget
- 5.00
- Quality
- 5.00
- Schedule
- 5.00
- Communication
- 5.00
Choose the right starting point
One modernization system. Four evidence-led entry paths.
The framework does not decide the path. Current signal, product risk, delivery constraints, and the value already inside your suite do.
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Path / 01
Build
New foundationAutomation is missing or too thin to protect releases.
Map critical flows, choose the right validation layers, and implement a maintainable architecture inside the client stack.
- First asset
- Critical-flow map and first working protection
- Success signal
- A repeatable automation foundation the team can extend
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Path / 02
Rescue
Trust recoveryFlaky tests, slow suites, and ignored CI have broken trust.
Classify root causes, keep useful checks, remove low-value noise, and stabilize what changes release decisions first.
- First asset
- Risk-ranked failure and flake map
- Success signal
- Red becomes actionable signal instead of a rerun habit
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Path / 03
Migrate
Framework transitionA legacy framework is blocking speed, maintainability, or adoption.
Move by business-risk tier, redesign weak patterns, and retire legacy coverage only after readiness evidence exists.
- First asset
- Migration risk map and reference architecture
- Success signal
- Stable Playwright coverage without copying old debt forward
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Path / 04
Scale
Multi-team scaleAutomation works, but not consistently across squads, environments, or CI.
Standardize architecture, execution, reporting, ownership, and governed AI assistance across the delivery system.
- First asset
- Scaling constraints and operating-standard baseline
- Success signal
- Fast, consistent signal that survives product and team growth
The expensive automation model
More scripts do not create confidence. Better automation decisions do.
The expensive version of automation optimizes for visible activity—script count, green reruns, and fast framework swaps—while the release-critical signal gets weaker. The cost compounds every time the suite grows without a clear risk, owner, or decision attached.
Where the cost compounds
4 connected failure patterns
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Current condition
Coverage grows around the easiest checks to automate.
What it costsScript count rises while revenue, permission, integration, and recovery flows remain exposed.
Modernized conditionCritical business flows define the automation backlog and the validation layer selected for each risk.
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Current condition
Flaky failures are rerun until the pipeline becomes green.
What it costsEngineers learn that red can be ignored, and CI stops protecting the release decision.
Modernized conditionFailures are classified by cause, business impact, ownership, and the action they require.
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Current condition
Legacy tests are converted line by line into a new framework.
What it costsWeak selectors, data handling, assertions, and architecture survive under a newer tool name.
Modernized conditionMigration waves preserve useful product knowledge while redesigning the patterns that created the debt.
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Current condition
Each squad invents its own fixtures, reporting, and maintenance rules.
What it costsExecution slows, standards diverge, and ownership disappears as the suite and organization grow.
Modernized conditionShared architecture and operating rules keep local contribution compatible with one trusted CI signal.
What your team keeps
The output is a working automation system—not a recommendation deck.
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Know what to modernize and why.
A reviewable decision record keeps modernization connected to product risk instead of letting it become another tooling project.
Automation health and risk map
Root causes, critical-flow gaps, framework constraints, and current signal quality ranked by business impact.
Modernization path and wave plan
A Build, Rescue, Migrate, or Scale plan with success measures and explicit stop-or-continue conditions.
Legacy retirement criteria
Evidence required before old checks, frameworks, or duplicated coverage can be removed safely.
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Keep the code, CI patterns, and operating rules.
Working implementation and explicit ownership make the new signal usable inside everyday delivery after AQA hands it over.
Priority automation implementation
Working protection for the selected release-critical slice inside the client repository.
Architecture and CI baseline
Reusable fixtures, test data, assertions, projects, execution, reporting, traces, and failure evidence.
Team standards and ownership model
Review rules, maintenance responsibilities, failure classification, quarantine policy, and extension examples.
Time to useful signal
Prove the first modernization slice in 14 calendar days.
The first scope does not promise to modernize every test. It proves the path, implements the highest-leverage slice, and gives leadership evidence for the next decision.
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Days 1–2
Baseline
Map the product risk, suite health, CI behavior, and constraints that determine the path.
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Days 3–4
Select and design
Choose Build, Rescue, Migrate, or Scale and design the smallest critical implementation slice that can prove value.
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Days 5–10
Implement and run
Build, repair, or migrate working protection and connect its evidence to the delivery workflow.
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Days 11–12
Stabilize and integrate
Harden the useful signal, classify failures, and prepare the architecture and ownership guidance.
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Days 13–14
Explain and hand over
Review the evidence, transfer the assets, and recommend stopping, extending, or scaling from observed results.
Commercial boundary
Know what each side owns before modernization begins.
A bounded first scope reduces buyer risk while protecting the conditions required to produce credible engineering evidence.
- Initial delivery window
- 14 calendar days after access is ready
- Starting scope
- One agreed release-critical automation slice
- Next available window
- August, 2026
- Decision point
- Stop, extend, or scale from observed evidence
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AQA commitment
What AQA owns
- Evidence-led path selection
- Architecture and implementation inside the agreed stack
- Human review of AI-assisted work
- Handover, standards, and next-step recommendation
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Your role
What the client provides
- Scoped repository and CI access
- Current product and release context
- Availability for fast clarification
- An accountable owner for scope and evidence decisions
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Scope guardrails
What is not implied
- No automatic full-suite rewrite
- No guaranteed framework migration before assessment
- No silent AI healing of release-critical checks
- No promise that every automation debt item fits inside 14 days
Engagement fit
This is for teams buying trusted signal—not script volume.
The strongest engagements begin with a real delivery constraint, client ownership, and agreement that automation value is measured by the decisions it improves.
Wrong engagement
Strong fit
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The target is a larger test count with no critical-flow priority.
Manual regression or weak coverage is slowing meaningful releases.
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The requested outcome is low-cost syntax conversion only.
Flaky or slow automation has damaged trust in CI.
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No one can own test architecture or release decisions after delivery.
A framework migration must preserve release protection.
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The team expects AI to change failing tests without review.
Multiple squads need compatible architecture and ownership rules.
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The need is temporary manual execution rather than system modernization.
Leadership wants client-owned assets and measurable release signal.
Questions teams ask before modernizing automation.
Direct answers on rewrites, Playwright, migration risk, AI repair, ownership, success measures, and the first 14 days.
Usually no. AQA keeps what still creates useful signal, repairs what is salvageable, removes what creates noise, and rebuilds only where critical-flow protection or architecture requires it.
No. Playwright is one possible modernization path, not the opening assumption. The decision depends on product needs, framework constraints, team capability, current asset value, and the release signal the new stack must produce.
Yes. The health baseline separates framework limitations from architecture, data, environment, test-design, and ownership problems so the team fixes the real constraint rather than changing tools by reflex.
Yes, when migration is sequenced by business risk. Critical flows gain validated coverage in the new system before equivalent legacy protection is retired.
Success is measured through the agreed signals: critical-flow protection, failure trust, execution time, maintainability, evidence quality, team adoption, and the speed of release decisions—not raw script count.
AI can accelerate diagnosis and propose repairs, but AQA does not silently heal release-critical checks. Every accepted change remains reviewable, attributable, validated, and reversible.
The client does. AQA works in the agreed client repository and transfers the implementation, standards, CI patterns, documentation, and maintenance rules.
The initial scope can baseline the system, select the right path, implement one high-leverage automation slice, validate its signal, and produce an evidence-based stop-or-scale plan. It does not promise to modernize an unlimited suite.