Teceze Quality Engineering and Test Automation combines AI assisted test design, continuous testing inside your CI/CD pipeline and dedicated automation engineers across web, mobile, API and performance layers. Regression suites that once took days now run in hours, defects surface before code reaches staging, and release confidence goes up every sprint, not just in the first quarter.
request a Test Automation Assessment Manual regression testing does not scale with continuous delivery. Quality Engineering and Test Automation is built to embed quality into every stage of the pipeline instead of checking it at the end, and to give you the evidence to prove release readiness at any moment.
Test scenarios are generated and prioritized from requirements, user stories and historical defect data, so coverage expands automatically as the application changes.
Reusable, modular frameworks across Selenium, Playwright, Appium and Cypress remove the need to rebuild scripts every release and keep maintenance effort low as the application grows.
Automated suites run on every commit and pull request through Jenkins, GitLab CI or Azure DevOps, so defects are caught before code reaches staging, not after.
Applications are tested under realistic and peak load conditions using JMeter and LoadRunner, surfacing bottlenecks before users ever encounter them.
Contract, integration and regression testing across REST and gRPC endpoints using Postman and SoapUI, so a service level change never breaks a downstream consumer silently.
Every test result traces back to a requirement, a defect and a release, giving engineering leaders one dashboard instead of several separate tool exports.
These are the ranges our clients typically see within the first two quarters of an automation engagement. We baseline your current test cycle during the assessment, then commit to targets in the contract.
Automated suites replace multi day manual regression cycles with runs measured in hours.
Continuous testing removes the wait for a manual sign off before every deployment.
Across functional, API and regression layers, with manual effort reserved for exploratory and usability testing.
Caught earlier in the pipeline, where they are cheaper and faster to fix.
Enablement runs in phases with no disruption to ongoing releases: discovery and baseline, framework build and pilot, parallel run alongside existing testing, then full automation ownership with agreed exit criteria at each stage.
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Traditional QA is largely manual and runs after development is complete, so it slows every release down and only grows more expensive as the application does. Quality Engineering embeds automated testing into the pipeline itself: AI assisted test design, continuous execution on every commit, and defect data that feeds back into future test creation. Practically, that means your test cycle time should fall every quarter while coverage grows, not the other way around. We agree coverage and cycle time targets in the contract so the commercial model rewards preventing defects, not just finding them.
No. We build automation inside the frameworks and platforms you already use, Selenium, Playwright, Appium, Cypress, TestNG, JUnit or similar, so your existing scripts, test data and reporting history remain usable. Where a tool is genuinely holding delivery back, we will recommend a change, but that is a decision we would make together during the assessment, not a precondition.
A pilot framework covering your highest risk workflows typically takes four to six weeks, in four gated stages: discovery and baseline, framework build, pilot execution, then scale out across the remaining suite. Each gate has agreed exit criteria before we move forward. Ongoing releases continue on schedule throughout. During pilot execution, automated and manual results are compared side by side so you can confirm the automation matches or beats current accuracy before it takes over a suite.
Most clients choose a dedicated team model, a fixed monthly cost for a named pod of automation engineers, because it makes planning predictable and does not penalize you for testing more. Project based and sprint aligned models are available where your release cadence or contractual structure calls for them. We will model options against your actual test volumes and release frequency in the assessment so you can compare total cost rather than rate cards alone.
Functional, regression, API, performance, load, mobile, cross browser and accessibility testing, plus test data and environment management. Manual exploratory and usability testing continue where human judgment adds the most value; automation is not meant to replace every tester on the team. Coverage priorities are agreed with your product and engineering leads so effort goes where defects would cost the most.
Test data is masked, versioned and refreshed on a schedule agreed with your team, so environments stay realistic without exposing production data. Environment provisioning is automated wherever your infrastructure allows, reducing the queue time testers usually lose waiting for a clean environment. Access follows the same least privilege, role based controls used across our application modernization engagements, with all activity logged and auditable.
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Schedule a 45 minute session with our quality engineering specialists. You’ll leave with a view of what your current test cycle costs per release and where automation can remove it.