Signature Executive Keynote
The Agentic Enterprise: turning generative AI into competitive advantage
A board-level narrative on where agentic AI reshapes business models, cost structures, and competitive moats — and how leaders decide what to build, buy, and govern. Backed by the same production architecture I ship, not a vision deck.
Flagship Keynote
The AI Agent Production Stack
The 11 layers that separate an agent demo from an agent your organization can rely on — model, context, tools, memory, orchestrator, contracts, judge, evaluation, observability, human oversight, and governance. Read the framework.
Board AI strategy and EU AI Act governance
What boards and executives must decide about AI value, risk, and compliance — governance built into delivery, not bolted on after the audit.
Why enterprise AI initiatives fail
The gap between the demo and production — and the evaluation discipline that makes AI provably work before it reaches customers.
LLMs in production
Architecture patterns, failure modes, and practical evaluation design.
Agentic AI for enterprise workflows
How to orchestrate agentic behavior with traceability and control — see the enterprise AI agents guide.
Conversational AI regression suites
Testing discipline for stability, drift detection, and release confidence.
Event-driven AI with human oversight
Designing reliable workflows where human intervention matters.
Data Spaces plus AI
Trust, sovereignty, and interoperability in ecosystem-level AI delivery.
Governance by design
Operational controls integrated into daily delivery workflows.