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ATSser services

QA automation services designed to move from scripts to release confidence.

ATSser helps teams build, stabilize and scale automation across UI, API, DB and CI/CD. The focus is not only writing scripts; it is creating a quality system that gives fast feedback, clear reporting and lower regression effort.

Start with a POC discussion View engagement models Post Automation Work See sample delivery

What ATSser can deliver

Services that support the complete automation lifecycle

Choose one service for a focused requirement or combine multiple services into a POC, framework setup or managed automation program.

01

QA Automation Consulting

Review your current automation maturity, regression pain points, tooling, team skills and release goals. ATSser helps define what to automate first and how to scale safely.

  • Automation roadmap
  • Framework review
  • POC scope recommendation
02

Automation Framework Development

Build or modernize a maintainable automation framework with reusable pages, API clients, configuration, test data, hooks, reporting and execution standards.

  • Selenium / Playwright with C#
  • BDD or NUnit structure
  • Reusable utilities and base layers
03

Regression Optimization

Convert slow regression into a risk-based execution model with smoke, critical regression, full regression and release-specific validation packs.

  • Suite slicing
  • Flaky test stabilization
  • Business-critical prioritization
04

Parallel Execution Setup

Design thread-safe execution and infrastructure so tests run faster without shared state, data conflicts or unstable reporting.

  • Grid / Docker / VM agents
  • Parallel-safe data strategy
  • Target-based execution planning
05

API Automation

Automate REST APIs, authentication, payload validation, response assertions and business service checks to reduce dependency on slow UI-only regression.

  • Token handling
  • Payload parameterization
  • API recorder viewer support
06

UI + API + DB Validation

Validate complete workflows by combining user-facing UI checks, backend API checks and database verification for stronger release confidence.

  • End-to-end journey validation
  • Backend persistence checks
  • Hybrid automation strategy
07

CI/CD Integration

Integrate automation into Azure DevOps, Jenkins or GitHub-based pipelines with scheduled runs, artifacts, screenshots and release evidence.

  • Smoke on build
  • Nightly regression
  • Report artifacts
08

Jira Integration

Connect test execution with issue tracking so failures, defects, execution history and release quality signals are easier to manage.

  • Defect traceability
  • Failure triage workflow
  • Release-level visibility
09

Quality Dashboards

Create dashboards and reports that management can understand: pass/fail trends, flaky tests, module health, failure reasons and release readiness.

  • Daily tracker
  • Weekly trend view
  • Monthly quality summary
10

Managed Automation Support

Ongoing maintenance, execution monitoring, failure analysis, new test coverage and reporting support so automation keeps producing value after delivery.

  • Regression care
  • Script maintenance
  • Monthly coverage improvement

Client-friendly delivery

Start small, prove value, then scale with confidence.

Many automation programs fail because they start too broad. ATSser recommends starting with a focused POC, proving the framework and reporting model, then extending to more modules and regression packs.

  • Low-risk start: select 5–10 business-critical flows before scaling.
  • Visible outcome: demo working tests, reports, screenshots and CI/CD execution.
  • Scalable plan: define how to reach faster regression and better coverage in phases.

What a client can ask ATSser to review

Share your current regression time, application type, existing automation status, CI/CD tool and release frequency. ATSser can suggest a practical POC path.

Framework reviewPOC scopeParallel execution planAPI automation scopeReporting modelJira flow
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