[Future Scan] In 2026, QA No Longer 'Tests'

Have you seen the intriguing analysis report recently posted on 'Jarvis Media'? Starting with the Tricentis webinar held on February 24, 2026, a seismic shift is occurring in the IT industry, particularly in the field of Quality Assurance (QA).

This isn't just a matter of "AI getting a little better." We are now standing on a massive wave called 'Agentic AI' and the 'Unified AI Workspace.' Today, however, I want to go a step further and discuss the 'true value of automation' that we must not lose sight of amidst this giant wave.

1. Exploding Code, Blind Risk: The Paradox We Face

Here is the backdrop: With the advent of Generative AI, developers are producing code 10 to 20 times faster than in the past. But here, a 'paradox' arises. As the volume of code grows, the risks that testing teams must manage are also increasing exponentially.

The report from the webinar defines this situation as 'Scale Explosion.' Developers spend all their time debugging code written by AI, while QA teams are stuck in a state of 'Risk Blindness,' not knowing where to focus their testing first. This is exactly the dilemma we all face in 2026.

2. The Solution Arrives: 'Agentic AI'

Tricentis introduced Agentic Test Automation v2 as the answer to this chaos. The word 'Agent' is key here. While past AI was a 'secretary' that only followed specific instructions, Agentic AI is an 'autonomous colleague' that plans and executes on its own.

• Ensuring Stability: To break the prejudice that AI-generated code breaks easily, Tricentis combined AI with its proprietary T-Box (Deterministic Locator). Even if the UI changes, the AI accurately identifies technical attributes to maintain the test.

• The 80% Miracle: Test case generation time has been reduced by 80%. Now, humans don't command, "Write this scenario"; they simply "approve" the scenarios created by the AI agents.

3. 'Unified AI Workspace': Connecting the Scattered Dots

It's not just a single testing tool that has improved. Tricentis has gathered all quality engineering assets into one place through the 'Unified AI Workspace.'

• Perfect Integration with the SAP Ecosystem: Signavio (Design) - Cloud ALM (Management) - Tosca (Test) are now tied together. The moment a business process is designed, AI agents automatically generate test code in the background—a complete '3-Way Integration.'

[Insight] Why PerfecTwin Shines Brighter as Tosca Emphasizes AI

Here, we must pay attention to a very interesting technical vantage point. The analysis team at 'Jarvis Media' evaluates that this Tricentis announcement actually proves the unique strength of PerfecTwin.

Why? It comes down to the difference between "solving an inconvenience" and "making it so it's not inconvenient in the first place."

① AI Hiding Complexity vs. Intuitive No-Code

Tosca is a complex product by nature. It is trying hard to lower the barrier to entry by putting a fancy AI shell on top of it. Having AI create scenarios for you is convenient for now. But what if an error occurs in an AI-generated scenario? Ultimately, the user has to crawl back into complex tree structures and difficult scripts.

In contrast, PerfecTwin is inherently intuitive. Business logic is visible at a glance through flow diagrams, and everything is No-code. Users don't depend on what AI 'does for them'; they can control it with a full understanding of what they are doing.

② The Dilemma of 'Shallow Testing'

Tricentis itself warned in its webinar slides: "Over-automation creates the risk of 'shallow testing,' where engineers no longer understand the tests themselves."

This aligns perfectly with the message PerfecTwin delivers:

"Real automation is not AI doing it for you; it's automation that anyone can directly understand and control."

The more Tosca emphasizes AI and says, "We'll do it all for you," the more the market will ask the fundamental question: "But can a human understand that?" And PerfecTwin becomes the clearest answer to that question.

Strategic Coexistence: Tosca for New Builds, PerfecTwin for Real-Transaction Validation

Ultimately, smart companies in 2026 will deploy these two tools in the right places.

• Tosca: When focusing on the 'speed of the build phase' by using AI agents to automatically generate scenarios from the business design stage.

• PerfecTwin: When you want to perfectly dominate the 'real-transaction-based stability' of a massive, already-running system in a way that anyone can understand.

True Zero-defect era will open not just by looking at the convenience of AI doing the work, but when the ability to directly understand and dominate the system is combined.

Which side is your choice?

This post was written based on the technical analysis report from Jarvis Media, the latest 2026 announcements from Tricentis, and the technical value of perfectwin.ai.