Sii Poland
SII UKRAINE
SII SWEDEN
Sii Poland
SII UKRAINE
SII SWEDEN
Accelerate releases, reduce costs, and lower risk by leveraging Agentic AI. We combine quality engineering with governed AI-agent support, automating API and UI tests and integrating them into CI/CD pipelines.
We help clients move from traditional automation to an AI-supported quality engineering model that combines TestOps and agent orchestration within a mature governance framework.. Agent recommendations are verified by the client’s team and Sii engineers, while regression scope is selected based on risk, change impact, and data from CI/CD pipelines. T his approach helps reduce regression time from weeks to hours — provided the test scope, environments, and pipelines support continuous testing, parallel execution, and risk-based test selection.
We integrate automated tests into CI/CD pipelines so that every significant code change is verified within minutes rather than hours — instead of waiting until a full test cycle is complete. We use continuous testing, on-demand environments, Docker and Kubernetes containerization, and parallel test execution. AI agents analyze pull requests for risk, indicate the required regression scope, and flag high-impact changes before the code is merged — with the option for an engineer to review and approve recommendations. As a result, release decisions are based on concrete signals rather than full regression testing performed “just in case.”
Automated tests alone do not guarantee savings. Savings come from a well-designed scope, the right priorities, and regular maintenance. We define which tests should truly be automated, prioritize critical business flows, and show where automation will reduce regression costs the fastest. AI supports this process by analyzing defect history, identifying redundant tests, and helping detect test debt. The result is lower maintenance costs, fewer unstable tests, and faster feedback loops — without overinvesting in tools, licenses, or scope that does not translate into business value.
We select and implement automation where it has the greatest impact on release risk: at the level of APIs, contracts, UI, mobile, desktop, and enterprise integrations such as SAP, Salesforce, ServiceNow, Oracle, and Microsoft 365. Where justified, we also support development teams in unit testing standards. We do not limit ourselves to functional testing — we also cover performance, load, accessibility, resilience, and visual regression. AI helps generate scenarios from product requirements and API specifications, analyze coverage for gaps, and classify the causes of test instability. With tools such as ReportPortal, SeaLights, and LiveCompare, you gain a consistent view of quality across key applications, integrations, and delivery pipelines.
We design modular and easy-to-maintain frameworks that can scale as the organization grows. We take into account scalability, parallel execution, environment stability, test data management, and CI/CD integration. For test execution and maintenance, we add controlled AI support: test proposals generated from requirements and code, script refactoring recommendations, regression optimization, and defect classification — always with engineer review, engineer validation albo human engineer validation. The architecture remains LLM vendor-agnostic and aligned with industry regulations such as GDPR, GxP, and PSD2, as well as the organization’s internal standards: security requirements, tool qualification, and data retention policies. As a result, the framework can be developed without a sudden increase in maintenance costs, even with a growing number of applications, teams, and technology changes.
We lead in adopting AI and emerging testing trends to push automation beyond standard frameworks. From AI-powered defect prediction and anomaly detection to self-healing test scripts and low-code automation, we transform traditional QA into a smarter, adaptive process. Our teams continuously experiment with new tools and methodologies, ensuring your projects benefit from the latest advancements in intelligent automation. Partnering with Sii means working with a company that doesn’t just follow the future of testing – we help shape it.
More than 1,500 experts and over 200 projects per year enable Sii to support both large enterprise organizations and smaller, specialized initiatives. Experience in finance, healthcare, life sciences, automotive, telecommunications, manufacturing, and retail helps us adapt solutions to the client’s regulatory and business realities — from validation requirements in pharma and safety-critical systems in automotive to large-scale reservation systems in travel. We work in mixed Sii + client teams, with onboarding tailored to the pace of transformation, technologies in use, and applicable security policies.
As a Tricentis Gold Partner and an official partner of mabl, Synthesized, and Dynatrace, we help select and implement proven automation and quality engineering platforms. We combine them with AI accelerators for QA that can operate in a model aligned with the client’s security, data, and tooling policies — from cloud deployments to on-premises environments required in regulated organizations. Clients gain faster tool selection, shorter implementation time, and solutions tailored to the organization’s context: infrastructure, budget, team competencies, and regulatory requirements.
We start with an audit and risk analysis, then define the automation roadmap, select tools, run a POC, and build a framework ready for integration with CI/CD, reporting, and maintenance. Throughout the collaboration, we identify test debt, redundant tests, and areas that unnecessarily increase maintenance costs. In regulated environments such as GDPR, GxP, and PSD2, we provide governance for AI usage — tool qualification, process auditability, control of data in prompts, and retention policies. Our engineers take responsibility for the final outcome — thanks to human accountability mechanisms and quality gates built into the Sii ecosystem, every AI recommendation is verified before it influences a release decision. We provide client teams with the knowledge, standards, and practices needed to develop automation independently in the long term.
We automate tests for web, mobile, desktop, and enterprise systems such as SAP, Salesforce, ServiceNow, Oracle, and Microsoft 365. The frameworks we build run in parallel, in Docker and Kubernetes containerized environments, with traceability, reporting, and change control mechanisms required in regulated sectors. Reporting and analytics platforms such as ReportPortal help classify test results, detect recurring failure patterns, and turn raw data into decision-making signals: which areas require attention before release and which results deviate from the established baseline.
Sii provides full lifecycle support for test automation – from initial audits and tool selection to framework design, CI/CD integration, and long-term maintenance. We don’t stop at delivery: through training and mentoring, we empower client teams to own and evolve their automation over time. By enforcing best practices and applying continuous improvements, we ensure that test automation remains maintainable, efficient, and cost-effective. Partnering with Sii means gaining a trusted advisor who helps you maximize ROI, minimize risks, and achieve sustainable QA excellence.
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Read our FAQ
AI is reshaping test automation far beyond defect categorization. Modern platforms use self-healing mechanisms to automatically update broken test scripts when applications change, dramatically reducing maintenance costs. AI agents can now generate entire test cases or scenarios, while intelligent assertions based on prompts validate outcomes more flexibly than traditional hard-coded checks. With large language models (LLMs), testers gain copilots that help design, review, and even optimize test scripts in natural language. On top of that, machine learning–driven analytics identify patterns, predict high-risk areas, and provide actionable insights into system health. For clients, this means not just faster and more reliable testing, but a smarter, adaptive QA process that continuously improves as systems and teams evolve. And because AI in testing is developing at an unprecedented pace, new solutions and capabilities appear every few months, ensuring even greater opportunities to optimize quality and speed.
Automation works best for repetitive, high-volume scenarios such as regression, unit, API, and end-to-end testing. It also supports integration and performance testing. Not every test should be automated – the key is a smart strategy that identifies cases with the highest ROI. Automation delivers particular value in systems with frequent releases, where rapid, repeatable testing is essential to keep pace with development.
The right choice depends on your tech stack, test scope, and team capabilities. Open-source tools like Selenium, Playwright, or Cypress work best in teams with strong programming skills and when flexibility is a priority. Low-code and AI-powered platforms such as Tricentis Tosca or mabl are ideal when technical skills are limited, or when fast scaling across large QA teams is required. In enterprise platforms like SAP, Salesforce, or Oracle, commercial solutions usually provide stronger support and faster integration. At Sii, we help you evaluate these factors and select tools that integrate seamlessly with CI/CD pipelines and deliver long-term efficiency.
Successful automation starts with clear goals and a well-defined scope, so you can measure coverage and focus on what really matters. Building a testing pyramid that prioritizes unit, API, and critical end-to-end scenarios ensures maximum value and reduced maintenance effort. Good practices include prioritizing the most business-critical cases, applying data-driven testing, and using parallel execution for speed. Just as important are solid engineering practices – writing clean, modular test code in open-source frameworks or following design standards in low-code platforms like Tosca and mabl – so tests remain stable and maintainable over time. At Sii, we also embed AI-powered analytics and perform continuous audits to eliminate redundancies, improve accuracy, and keep automation sustainable as your systems evolve.
Automated tests run continuously in CI/CD pipelines, giving instant feedback after each code change. Regression and API tests that once took weeks can now run in hours or minutes. This accelerates delivery cycles and allows teams to focus on building features, not repeating manual checks. At the same time, test automation acts as a safety net – your insurance policy against defects in production – so you can release quickly without compromising quality or business stability.
Absolutely – but not at any cost. At Sii, we believe test automation only makes sense if it’s effective, maintainable, and cost-efficient. That’s why we start with audits and scope definition to avoid waste, and select tools – from open-source to enterprise platforms like Tosca, mabl, or Dynatrace – that match your stack, skills, and budget. Our 1 500+ QA engineers deliver automation across web, mobile, desktop, and enterprise systems such as SAP, Salesforce, ServiceNow, Oracle, and Microsoft. With scalable frameworks, AI-powered reporting, and continuous improvements, we ensure your automation grows with your business and delivers measurable ROI – not just scripts.
Open-source frameworks like Selenium or Playwright are best suited for technically strong teams with solid programming skills. They offer flexibility and low entry cost but require significant engineering effort – from integrating with CI/CD pipelines to adding extra frameworks, reporting tools, and maintenance processes. By contrast, commercial low-code platforms such as Tosca or Mabl are designed for testers with limited coding skills, providing built-in support for continuous testing, CI/CD integration, analytics, and AI features. This makes them faster to implement and easier to scale across larger QA teams. At Sii, we help clients strike the right balance – combining open-source where flexibility is key and enterprise solutions where speed, usability, and long-term maintainability matter most.
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