Invite-only QA & Tech Leadership Conference
150 Invited Leaders Shaping the Future of Engineering, Quality, and AI in Business.
Leaders attending from these companies
QonfX
Conversations that matter
AI Testing & Automation
Agentic Quality Engineering
Quality in AI
AI-Augmented Engineering
AI Assurance & Governance
Engineering Leadership
Leadership Sessions
Expert Panel
Fireside Chat
Leadership
Networking
Live Demos
What is QonfX?
QonfX is our leadership-focused, invite-only conference that brings together Quality, Engineering, Product & AI leaders under one roof to discuss the future of software quality and how AI is reshaping how organizations build, test, and lead. Designed for focused conversations and highvalue connections, not routine networking.
Hosted across key cities in the US, UK, Europe, and Asia, QonfX brings together the region’s most influential leaders who are shaping the next decade of software quality and engineering
Who else is Joining?
Head of Development
Director of Software Engg.
Head of Engg.
Head of Frontend & Mobile
Director of QA/QE
Director of Delivery
Associate Director
Associate Technical Director
Sr. Manager Software Engg.
Sr. Software Engg. Manager
Software Engg. Manager
Software Dev. Manager
Engineering Manager
Senior QA Manager
Head of quality
Speakers
Conference Topics
London
Quality Engineering for Probabilistic Software
“We spent 30 years perfecting quality engineering for deterministic software. Now AI has changed the rules. My premise is that LLM evals aren’t a completely new discipline, they’re the natural evolution of quality engineering, where confidence comes from statistical evidence, continuous evaluation, and engineering systems that learn rather than simply pass or fail.
The talk explores how familiar quality engineering concepts such as regression testing, coverage, release gates, observability, and production monitoring map to modern evaluation practices for AI-powered systems. Rather than focusing on a particular framework or tool, it provides a practical engineering mindset for building confidence in probabilistic software, highlighting both the lessons we can carry forward from traditional QE and the new challenges that emerge when software is no longer deterministic.
“
Christopher Hughes
London
AI Assurance in Enterprise Quality Engineering
As AI becomes embedded in enterprise systems, organisations are rapidly expanding their use of evaluations, red teaming, automated testing and governance controls. But passing more tests does not necessarily mean a system is assured.
AI assurance requires a broader view of quality: one that considers not just the model, but the data, software, workflows, agents, people and organisational controls around it. It also requires us to confront a growing verification problem: as AI increasingly generates software, tests and even judgements about its own outputs, every additional layer of automation creates another layer that itself requires scrutiny.
This talk explores the difference between testing and assurance, why conventional evaluation approaches struggle with complex AI-enabled systems, and how Quality Engineering can move from simply producing test results to building credible evidence for risk-based decisions.
The question enterprise leaders need answered is no longer simply, “Did the AI pass the tests?”
It is: “What evidence is sufficient to justify putting this system into production, and who is accountable for that decision?”
Keith Klain
London
Fireside Chat: Are We Testing AI Fairly? Bias in the Evaluation Process Itself
Most responsible AI conversations focus on bias inside the model. This panel flips the lens onto the testing process itself: the test data, eval scenarios, and grading criteria QE teams design are just as capable of encoding bias, and far less scrutinized. If the yardstick is skewed, passing tests tells you nothing. This panel gets into how quality engineering can audit its own evaluation methodology, not just the AI being evaluated.
Sabarinath Keerthivasan
Venkatesh Sriraman
London
Managing AI Agents Like People: Autonomy, Feedback, and Trust
Ugo Anomelechi
London
Panel: From Agents Writing Code to Agents Ensuring Quality, Where's the Line?
As AI agents take on more of the SDLC, a real tension is emerging: the same agents writing code at increasing speed are also being asked to test, review, and validate that code – sometimes with far less oversight than a human in either role would get. This panel puts that tension on stage directly, pairing builders who runs an AI-native engineering org shipping fast, against practitioners who’ve embedded agents specifically to catch what fast-moving code introduces.
Anish Behanan
Gomathi Ramalingam
Nicholas Greenwood
Muthu Karunarathna
London
The AI Testing Maturity Trap: What Two Real Rollouts Taught Me
“AI has unlocked real possibilities across functional and non-functional test automation from intelligent test generation to self-healing suites to AI-assisted performance and security testing. The second edition of Full Stack Testing maps this landscape as a practical, beginner-friendly guide. But knowing what’s possible and knowing where your organization actually stands are different problems and that gap is where most AI testing initiatives quietly stall.
This talk bridges the two. Drawing on two real client engagements from my work as an independent technology consultant, I’ll unpack what a practical AI testing maturity curve looks like the capabilities available at each stage, what each stage actually demands of an organization, and the missteps that stalled the rollout. You’ll leave with a simple framework to assess where your team sits today and what the next stage truly requires.”
Gayathri Mohan
A look inside QonfX
Highlights from QonfX editions across global tech hubs
From people who were there
Feedback from leaders who've attended past editions
Engineering Manager
Panasonic
“A fantastic event for QA and engineering leaders to connect, share insights, and explore the future of tech and testing. Highly recommended.”
AVP QA
Oaktree Capital Management
Director, Quality Assurance
CAI Software
AVP - QA
Genpact
Director
MetricStream
QA Director
Minfy Technologies
Senior Test Manager
Conduent
Senior Architect
lululemon
Test Manager
EY
Development Manager
SAP
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In-Person Conferences
Invite-only Event | 10+ Speakers each | Talks | Panels | Booths | Networking
About The Test Tribe!
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Frequently Asked Questions
Yes, QonfX London is an invite-only, in-person conference.
QonfX is designed for testing and technology professionals, focusing strongly on leadership personas. The event is free to attend.
Apply for QonfX London here . If selected, you’ll receive an exclusive invitation to join.
Invites are released based on limited slots available for each persona/seniority and are granted on a first-come, first-served basis.
No—in-person attendees must use their reserved invites. To ensure fairness, do not apply unless you can commit to attending.
QonfX London will be held on October 22, 2026, from 8:30AM GMT.
QonfX is an invite-only event, and we aim to bring together a diverse group of attendees across various roles and expertise. While we have limited slots available, invitations are extended on a first-come, first-served basis to ensure a well-rounded representation of industry professionals.
Thanks for your interest! We’ll email you with the details if we have a spot for you. If not, we’ll notify you and keep you on standby for any last-minute openings.
No, invitations are non-transferable. If you are unable to attend, please let us know in advance.
No, session recordings will not be shared, as QonfX is an invite-only, in-person event.
We appreciate your interest in contributing to QonfX! Here’s how you can get involved:
- Partner with Us: Explore sponsorship opportunities to showcase your brand and connect with top industry professionals. If you know someone who might be interested, feel free to share this opportunity with them!