Introducing Test Portal

The Challenge

In large-scale projects, QA engineers are often buried under a flood of automated test results — many of them failing.  Each failure means manual log digging, pattern matching, and chasing errors. It delays releases, drains capacity, and pulls teams away from high-value work. 

“The idea was to simplify this with some automation. Here is where we introduce our internal AI-powered Test Portal,” says Nikolay Movchanenko , Lead QA Engineer at Vention Slovakia. 

The solution: AI-powered test portal 

Developed in-house, our AI-powered Test Portal turns raw test results into real-time insights, measuring release readiness via pass/fail rates, defect counts, coverage, and historical trends. 

“When I select an error, I can run an automated review. If similar issues exist, the AI shows them to me. I just confirm or reject — no manual digging needed,” Nikolay explains. 

The Impact 

• For QA engineers: more time to create new tests, improve coverage, and tackle high-value work — instead of repetitive debugging. 

• For stakeholders: faster, data-backed release decisions with reduced risk. 

• For the business: one AI-enabled source of truth that replaces scattered reports, speeds up go/no-go calls, and delivers measurable ROI.

AI-powered QA: faster decisions, stronger ROI 

This focus on automation reflects a broader trend we’ve seen in our own 2025 State of AI report, where 83% of organizations implementing AI see positive ROI within just three months, and AI adopters are projected to boost profitability by 38% by year’s end. 

AI adoption isn’t just about efficiency — it’s about measurable business impact. 

Solving core QA pain points 

From scattered data to stand-up-ready insights 

“The challenge is to have everything in a single place. We have an issue dashboard here with statistics, and I can use it when I discuss issues during the daily stand-up.” — Nikolay Movchanenko .

With all test results and recurring issue statistics in one view, QA engineers can walk into a stand-up armed with clear, data-driven insights on current product quality. This not only improves collaboration with developers but also helps business stakeholders make faster, better-informed decisions — reducing delays and focusing efforts where they matter most.

In the visual below, you’ll see the core components of our MCP-powered QA ecosystem. Each layer plays a specific role: the Defect Management System (DMS) acts as the central hub for reporting, tracking, and resolving issues; the Project Management System (PMS) aligns planning and delivery across teams; and the Test Management System (TMS)structures and monitors the full testing lifecycle. Together, they create a unified, AI-assisted quality workflow that keeps engineering teams aligned and accelerates delivery.

MCP server integration with other tools 

The Test Portal can easily connect with multiple MCP-enabled services.  For example, “we can integrate the JIRA MCP server with the Test Portal,” Nikolay explains. Once a report is generated, the system can automatically create new tickets or bugs in JIRA, complete with all relevant data — including logs, links, and test scripts. 

More than that, the Test Portal becomes a core part of the QA ecosystem — aggregating the latest test data and sharing it seamlessly with other project tools via MCP. 

👉 Read about why MCP is becoming the new standard and how it’s revolutionizing QA with AI here.

AI-powered data interaction 

Instead of manually navigating through test results, users can query data via AI. Through the MCP server interface, you can simply ask: 

• “Generate a QA report for today” 

• “How are my automated tests performing?” 

The AI retrieves and summarizes the data, providing detailed technical insights such as pass/fail rates, flaky test detection, and error trends — all in seconds. 

Test documentation management — a single source of truth

No more switching between multiple systems to find historical results.  The portal centralizes everything, making it easier to track past runs, investigate errors, and link to dashboards or monitoring tools. 

The next stage for QA at Vention Slovakia 

With every iteration, we’re expanding the Test Portal’s capabilities, exploring deeper AI integrations, and identifying new ways to turn test data into actionable insights. 

“In theory, it’s entirely possible to enable Cursor IDE integration for AI-driven debugging and even potential auto-fixes. We also see a future path toward monetization once we’ve demonstrated clear value for clients,” - Nikolay Movchanenko .