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AI Test Automation & Migration

Migrate test automation faster, keep it under control

Many companies pay high licence fees for mature test automation — and still hesitate to move away from the tool. We migrate regression suites to open, maintainable frameworks. AI accelerates analysis, generation and triage; experienced test engineers own architecture, review and release.

AI-first, never blind

AI does not write tests directly into production for us. We define target architecture, patterns, test data and acceptance criteria first. Generated tests, page objects, API clients and triage suggestions are read, improved and accepted only after a quality gate.

From proprietary suites to open frameworks

We migrate tests from Tosca, UFT, Ranorex, TestComplete, Katalon or UiPath Test Suite to Playwright, Selenium or Robot Framework. Not by naive conversion, but through inventory, risk mapping, coverage matrix, pilot and controlled parallel runs.

Regression that fits your pipeline

The new automation runs in GitHub Actions, GitLab CI/CD, Jenkins or Azure DevOps — with JUnit reports, Allure, Xray, traces, screenshots and clear quality gates. Failed does not automatically mean product defect: evidence, triage and ownership decide the route back.

Handover instead of new dependency

The goal is no new vendor lock-in and no permanent consultant dependency. Your team receives code, architecture decisions, runbook, review guidelines and training on the AI-assisted workflow so automation can continue internally.

Why AI-first

Migrate faster, reduce cost, keep control.

Licence savings happen after replacement. Our AI-assisted approach also reduces the effort of the migration itself — without handing quality responsibility to a model.

More speed

AI supports assessment, test design, test data, API wiring and triage. Repetitive implementation moves faster while architecture and release stay with the team.

Lower cost

Removing proprietary licences plus reducing manual implementation effort lowers migration cost and makes the business case easier to defend.

Higher quality

Consistent patterns, reviews of every generated change, flaky-test control and CI/CD quality gates create a regression suite releases can trust.

Typical landscapes

We automate tests for core platforms and custom systems.

Business-critical processes often span multiple systems. We test across UI, API, data and surrounding applications.

SAP S/4HANA SAP SuccessFactors Salesforce ServiceNow Microsoft Dynamics 365 Business Central Oracle Fusion Workday Adobe Experience Manager Custom B2B platforms

AI workflow

AI writes. We steer, review and own it.

A repeatable loop of human instruction, AI generation, expert review and quality gate.

Human

1 · Direction

Target architecture, patterns, acceptance criteria and context are set precisely.

AI

2 · Generation

Tests, test data, page objects, API clients and triage hints are produced faster.

Review

3 · Review

Correctness, readability, privacy, security and maintainability are checked.

Gate

4 · Release

Only reviewed changes enter regression; everything else goes back into iteration.

Approach

Three phases from tool lock-in to owned regression.

Full replacement, staged migration or hybrid transition: the path follows risk, economics and technical fit.

AI-assisted assessment

Inventory, risk, coverage, licence model, test data and integrations are analysed and translated into a practical roadmap.

Outcome: decision paper with business case

Pilot & architecture

A representative pilot validates framework, patterns, CI/CD, reporting, Xray/Allure integration and parallel operation.

Outcome: production-ready foundation

Migration & handover

We migrate in prioritised waves, stabilise regression and hand over code, docs, review process and training.

Outcome: internally operated test automation

Frameworks & toolchain

Playwright Selenium Robot Framework REST-Assured Postman / Newman JUnit TestNG Cucumber GitHub Actions GitLab CI/CD Jenkins Azure DevOps Docker Kubernetes Jira / Xray Allure Reports Grafana

Frequent questions

What teams should clarify before migration.

Can the existing test suite be converted automatically?

Part of the test logic and test data can often be reused. A robust migration is rarely pure conversion, though: redundant, unstable or proprietary patterns are assessed and rebuilt deliberately.

How do you prevent losing coverage?

Through a coverage matrix, representative reference scenarios, pilot runs and a time-boxed parallel run. A domain is replaced only once the agreed acceptance criteria are met.

Does AI write tests without human control?

No. AI produces drafts based on our instructions. Every change is reviewed, optimised and protected by quality gates before it becomes part of production regression.

Playwright, Selenium or Robot Framework — which one is right?

That depends on your system landscape, browsers, team skills, non-web parts, libraries and operating model. The assessment documents the decision transparently.

Will our team stay dependent after migration?

No, the goal is full handover. Your team receives code, documentation, runbook, review guidelines and training on the AI-assisted working process.

Other lines of work

Ready for systems that last?

Revenue system, privacy-first AI or a platform with operational demands — let's talk about your project.