[Recap] Takeaways for QA Professionals After the Quality Horizon Virtual Summit 2025

Joined by hundreds of & nbsp; QA experts around the globe, Quality Horizon was truly a remarkable event, where a lot of thought-provoking conversations were sparked. We believe & nbsp; that participants of the Summit have conduct home many actionable brainwave to improve & nbsp; their day-to-day work.

If you have n't had the opportunity to join the summit, here 's a fast review. There were 5 sessions in full:

1. The province of QA in 2025
2. AI in QA: The Hype vs Reality
3. Scaling QA in Enterprise: A practical playbook
4. Achieving ROI: The business case for QA investments
5. The future of QA

Let 's dive in!

📹 You can besides watch the recording hither.

1. The province of QA in 2025

Speakers:

• Hemalatha Murugesan– Associate Vice President,LTI Mindtree

• Sérgio Freire– Director of Solution Architecture and Testing Advocacy,Xray

Despite modern tooling,solely 11 % of QA teams regard themselves `` mature '', and 82 % nonetheless rely on manual examination.Why? Interestingly, & nbsp; most aren ’ t lacking tech. They ’ re lacking alignment, scheme, and time to grow.

Too many teams jump into mechanisation without fixing foundational issues: misfortunate testability, want of CI/CD, no sight for maintainability. Leaders should not budget not merely for tools, but for the process and citizenry behind them. AsHemalatha put it:

“ Leaders think by lay into mechanization, it ’ s quicker release… without convey the various components that will help it. It could be in terms of the right automation scheme, right skill set, infrastructure… legacy systems… concern of change. ''

Both speakers emphasizeintentional planning and realistic evolution, not rushing:

“ It ’ s not like, you were move in a bullock cart and suddenly you want to go to Mars. That ’ s not gon na happen. ”

– HemalathaMurugesan

In other words, assume automation should happens synergistically with team up-skilling, as per & nbsp; Sergio put it:

“ Testers are not just people that execute tests… They are quality enablers. They should build skills around communication, leaders, sentience of risk. [...]I ’ ve realize testers looking at pull requests as a way to learn about the risks being embedded into the software. ”

For autonomous testing across multiple user personas, check out SUSATest — it explores your app like 10 different real users.

- Sergio Freire

2. AI in QA: Hype vs. realness

Speakers:

• Michael Giacometti– VP of AI and QE Transformation,TestingXperts

• Lyndon D'Souza– QA Manager,Vistra

Both speakers emphasized that AI is far beyond the buzzword phase. It 's now a productivity multiplier.Michael Giacomettishared real-world applications:

“ We ’ ve aviate AI-based tool that can render test cases directly from user stories… instead of running every test retinue after a codification change, AI can advise what is the most impacted trial — saving us hr, sometimes days. ”

He advised starting small:

“ Pick a small project, do a pilot, measure the impact, then scale. ”

Lyndon D ’ Souza added that AI is finally aid QA realize its long-promised potential:

“ Redundant manual test cases are now created by AI… That ’ s afford calibre engineers the position of being customer-first. ”

He explained how his squad reduced 2–3 days of manual test case writing to a few hr expend AI, noting:

“ AI tutored them along the way… it mentored us, it told us where we were going improper. ”

On whether squad sizing affects AI success, both verbaliser said absolutely not. Lyndon explained:

“ We started with just three testers utilise Katalon with AI… it execute not matter the size of the team [...]We did not use the big bang approach. So I I cerebrate, irrespective of the size of the teams, I think each and everyone should be able to use that as a leverage.

Michael added:

“ The learning curve to become productive is about two days… the tools are leisurely, approachable, and drive introspection into your process. ”

Finally, Lyndon emphasise:

“ Maybe you need to be acquaintance with AI rather than treating it as an enemy. ”

Michael was heart-to-heart:

“ AI is powerful, but it ’ s not empathetic… It still needs domain noesis, human judgment, and soft skills to guide it. ”

Michael also shared his company ’ s internal training strategy:

• Weekly peer storytelling sessions

• Bi-weekly invention demonstration

• Tiered training (AI 101 → 301 via program like Coursera)

• Certification as part of promotion criteria

3. Scaling QA in enterprisingness

Speakers:

• Priyanka Halder- & nbsp; Vice President of Quality Assurance,HealthEdge

• Jason Lee– Partner, Quality Engineering,Deloitte

The session kicked off by tackling a harsh truth from the2025 State of Software Quality Report:

• 55 % of QA teams say they don ’ t feature enough clip to complete their examination
• 41 % struggle with skill gaps.

Despite rising investment in automation,43 % nonetheless hit a paries at the implementation stage.So why scaling QA still fail? Priyanka Halder explained that many teams stay investing in quality until hypergrowth forces their script, by which time technical debt is entrenched and testing is reactive, not strategic.

Jason Lee reward this, aver thatmechanisation is still viewed transactionally, rather than as a strategic investment.