QA strategy and governance
Definition of QA models, entry and exit criteria, traceability, metrics, executive dashboards, risk management, prioritization, and visibility for decision-making.
IT Solution Company is grounded in real Software Quality practice. The offering is built on senior experience in QA/QE leadership, test automation, quality governance, CI/CD, test management, delivery, and team improvement in demanding digital environments.
IT Solution Company is a Peruvian firm specialized in Software Quality, Quality Engineering, and Quality-First software services. The company was founded on a clear conviction: quality should not arrive late or act only as a final checkpoint. It should shape how business needs are understood, how scope is defined, how the backlog is prioritized, how solutions are built, how validations are automated, how risks are managed, and how release-readiness is decided.
That's why we don't position as a generalist IT consultancy, a mass software factory, or a typical development agency. We focus on teams and companies that need to build, manage, and release software with more order, more visibility, and less uncertainty.
Our value is in connecting three dimensions that often work in isolation: business, technology, and quality.
IT Solution Company's offering is backed by over 12 years of professional experience in Software Quality, QA, Quality Engineering, automation, technical leadership, and delivery improvement.
That trajectory includes roles such as Senior QA Technical Lead, Chapter Lead QE, QA Lead, QA Automation Engineer, Senior Software Quality Analyst, and Testing Specialist. Along the way, the experience spans projects and teams in banking, finance, insurance, telecommunications, education, digital products, and environments where quality, traceability, and operational continuity have direct business impact.
This background is not presented as biographical trivia. It is the foundation of the judgment applied to every conversation, every diagnostic, and every proposal. It allows us to understand what happens when QA arrives late, when automation is not well prioritized, when acceptance criteria are weak, when the backlog grows out of control, or when teams release with limited visibility of risk.
In the early years, the focus was on functional validation, test case design, requirements analysis, defect management, test data generation, support for certifications, and quality control for production releases.
Later, the experience evolved into test automation, BDD, Gherkin, API/Web frameworks, continuous integration, performance testing, security validations from QA, and improved collaboration between development, product, and quality.
In subsequent stages, the work expanded into team leadership, QA governance, end-to-end traceability, executive metrics, OKRs/KPIs, visibility dashboards, technical training, mentoring, and defining standards for more sustainable quality practices.
Today that evolution becomes an integrated offering: helping organizations not only test better, but build, manage, and release software with greater confidence.

Definition of QA models, entry and exit criteria, traceability, metrics, executive dashboards, risk management, prioritization, and visibility for decision-making.
Framework design, API and Web automation, BDD, Gherkin, continuous execution, CI/CD pipeline integration, and selection of critical scenarios for automated regression.
Organization of test plans, cases, evidence, test executions, defect management, resolution tracking, coverage control, and communication with development, product, and business.
Performance testing, security validations from QA, stability reviews, response times, and technical risks that may affect experience, operations, or continuity.
Custom digital solutions built with discovery, acceptance criteria, proportional architecture, incremental development, integrated QA, testing, documentation, and handover from the start.
Guidance to organize digital initiatives through roadmap, backlog, scope, risks, releases, stakeholders, executive reporting, and coordination across business, development, and QA.
The professional background is complemented by certifications and specialized training in testing, automation, quality management, performance, agile frameworks, IT services, development, and new AI-assisted practices.
ISTQB Foundation Level, ISTQB Advanced Level Test Manager, Agile Tester.
ISTQB Test Automation Engineer, ISTQB Performance Testing, training in Serenity BDD, Screenplay, Selenium, Cucumber, BDD, and Java automation.
Certified ScrumMaster, Scrum Fundamentals, ITIL 4 Foundation.
Oracle/Java, GenAI-Assisted Test Engineer, and training on AI applied to testing.
The tool should never be the core of the offering. Value comes from the judgment used to choose, implement, and integrate it into the team's real flow.
Karate DSL, Rest Assured, Selenium, Serenity BDD, Screenplay, Gherkin, Cucumber, BDD, ATDD, and TDD.
Jira, Xray, QMetry, Zephyr, defect management, test plans, evidence, traceability, and quality reports.
Jenkins, Azure DevOps, GitHub Actions, AWS, validation pipelines, smoke testing, regression, and automated feedback.
JMeter, OWASP ZAP, SQL, Oracle, MySQL, PL/SQL, and technical validations focused on stability, basic security, and risk control from QA.
Roadmaps, backlogs, acceptance criteria, Definition of Ready, Definition of Done, tracking dashboards, risk management, prioritization, and executive reports.
Scenarios where traceability, stability, functional precision, and risk management carry significant weight. This type of experience brings judgment for teams that need to release with control and evidence.
Environments with integrations, deployment windows, sensitive operations, and a high need for coordination between teams. Quality requires visibility, anticipation, and clear communication.
Initiatives where user experience, service continuity, and frequent product evolution demand quality practices more tightly integrated into delivery.
Organizations that need to strengthen their offering to their own clients, bring order to QA, improve automation, professionalize delivery, or build digital solutions with stronger quality criteria.
Reduction in validation time
In initiatives with extensive manual processes or low automation, accelerating verification cycles without losing control.
Shorter delivery cycles
Where automation, continuous integration, and risk-based prioritization accelerated delivery decisions.
Fewer visible production failures
By strengthening regression coverage, defining exit criteria, and improving traceability across requirements, tests, and defects.
These metrics correspond to results achieved in previous projects from the professional background that sustains the company. They are not guarantees of future results, nor are they consolidated historical metrics attributable to IT Solution Company as an organization.
Experience in QA governance, test processes, traceability, defects, metrics, and automation enables diagnosing gaps with judgment and proposing an actionable improvement path.
Experience in API/Web automation, BDD, frameworks, CI/CD, and critical regression enables building a useful, maintainable automation base, connected to real delivery.
Experience leading QA practices and quality teams enables organizing criteria, dashboards, metrics, reports, cadences, and release decisions without creating unnecessarily heavy structures.
A quality lens enables approaching development from the start with discovery, acceptance criteria, testing, maintainability, traceability, and incremental validation.
Experience connecting business, development, and QA enables organizing digital initiatives with focus on value, scope, backlog, risks, releases, integrated quality, and executive visibility.
We don't propose solutions without first understanding context, team, maturity, risks, and real constraints.
Not everything should be tested, automated, or built at the same time. We prioritize what reduces the most uncertainty or generates the most impact.
Quality should not appear only at the end of the cycle. It must be present in acceptance criteria, backlog, design, development, testing, and release.
Automation should respond to criticality, repetition, risk, and maintainability. It's not about automating because it's trendy.
A quality report should help make decisions, not just show activity. We work with metrics, traceability, and executive-level reading.
The goal is not to create dependency. Every engagement should leave more clarity, better practices, and installed capability in the client's team.
We don't take on projects without clear scope, minimum criteria, defined responsibilities, and reasonable conditions to deliver with quality.
“IT Solution Company is a specialized firm — but the judgment it brings to every engagement is anything but small.”
Tell us what you're trying to solve: quality, automation, development, project management, digital product, or release visibility. We'll help you identify the best starting point.