QEAlchemist
Speaking

Conversations shaping the future of Quality Intelligence.

Keynotes, panels, executive roundtables and practitioner conversations on AI-led QE, Quality Intelligence and trusted AI systems.

Abstract stage formed by intelligence signals and focused light
Executive perspective. Practitioner depth. Future-facing quality.
Signature talks

Three conversations designed to change what the audience does next.

Each talk can be adapted for executive, practitioner or mixed audiences and delivered as a concise 30-minute session, a 45-minute keynote or a deeper 60-minute format.

01
Quality Intelligence

From QE to Quality Intelligence

Thesis: the next evolution of QE is not more automation. It is an intelligence layer that converts fragmented quality evidence into better decisions.

Audience takeaways

  • the QA → QE → QI → Autonomous Quality model;
  • the five capabilities of a QI system;
  • a practical way to rethink release confidence.

Best for

Engineering leaders, quality leaders, architects, product leaders and transformation teams.

Formats

30 · 45 · 60 minutes

02
AI Assurance

Testing AI Before AI Tests Us

Thesis: intelligent systems cannot be assured only with deterministic test cases. Trust requires layered evidence across behavior, robustness, safety, grounding, provenance and runtime.

Audience takeaways

  • an AI assurance stack;
  • how to think beyond “expected result”;
  • why production becomes part of the test environment.

Best for

AI product teams, QE leaders, platform teams, risk and governance leaders and engineering practitioners.

Formats

30 · 45 · 60 minutes

03
Agentic QE

Agentic AI and the Future of Quality

Thesis: the value of Agentic QE is not the number of agents. It is whether bounded agents can share evidence, challenge one another and improve a real quality decision.

Audience takeaways

  • decision-first agent architecture;
  • the role of shared context and provenance;
  • a model for governed autonomy rather than AI theater.

Best for

QE architects, engineering leaders, AI teams, automation leaders and practitioners building agentic workflows.

Formats

30 · 45 · 60 minutes

Selected appearances
2026

TestMuConf — Panel discussion

Quality Intelligence, AI-led QE and what changes when software begins to reason.

2025

TestingMind Atlanta — QE → QI: Why & How

A practical discussion on the transition from Quality Engineering to Quality Intelligence.

Executive lens

Translate quality into confidence, risk and business decisions.

The conversation moves beyond test tooling toward the evidence that technology leaders need before software and AI systems enter production.

Practitioner lens

Connect the future vision to systems that teams can actually build.

Agents, RAG, evaluation, automation, provenance and governance—grounded in engineering practice rather than AI theater.

Speaking & conversations

Looking for a conversation that goes beyond “AI will change testing”?

Bring the difficult question: trust, autonomy, quality economics, AI assurance, or how QE should evolve.

Start a conversation →