The System Around the Model: Industrializing Trust to Scale AI Decisions
A discussion on governing autonomous AI in core financial services processes while accelerating business impact.
↗Artificial intelligence · Decisions · Trust
From the complexity of artificial intelligence to clarity in decision-making. That’s where I work.

Point of view

For over fifteen years, I've worked across artificial intelligence, advanced analytics and business. I turn complex technologies into actionable choices, exploring not only what technology can do, but what changes when it becomes part of our processes, decisions and the way we work.
I'm a Senior Business Manager at SAS. I bring this perspective beyond my day-to-day work, exploring and explaining AI at events, universities, and in conversations with companies, institutions and the media.

“We can delegate more and more to AI. The real question is what we still want to decide ourselves.”
How we work, how we decide, what we delegate and what we choose to remain responsible for.
IDEAS & CONVERSATIONS
57 results
A discussion on governing autonomous AI in core financial services processes while accelerating business impact.
↗As AI agents move from automation to autonomy, reliability depends on control: guardrails, continuous evaluation and effective governance.
↗A practical framework exploring how to assess, control and govern LLMs beyond traditional benchmarks, for enterprise-scale adoption.
↗Executive keynote exploring how organizations can move from AI experimentation to trusted, production-ready AI systems.
↗As AI becomes capable of creating, the real question shifts from what machines can generate to who provides the intention, meaning and value behind it
↗From AI that provides answers to AI that takes action: Agentic AI combines autonomy with transparency, explainability and human accountability.
↗Executive workshop on Enterprise Agentic AI, exploring governance, decision intelligence and the foundations of trusted AI adoption.
↗Agentic AI brings a new trust dilemma: balancing greater autonomy with reliable decisions, human oversight, transparency and effective governance.
↗A strategic view of Agentic AI, focused on turning complexity into clarity through governed, explainable and action-oriented systems.
↗Exploring why the future of AI is not full autonomy, but intelligent collaboration between humans, decisions and AI agents.
↗Turning data into decisions at speed: how advanced analytics creates business value and GenAI makes insights more accessible, conversational and actio
↗A deep dive into AI governance, the EU AI Act and the role of trust, accountability and transparency in shaping the future of financial innovation.
↗Executive session on balancing innovation, ethics and regulation to transform AI governance into a driver of business value.
Examining synthetic data as a strategic enabler for AI, helping organizations unlock innovation while addressing privacy and data challenges.
↗How synthetic data can unlock new AI opportunities by addressing the limits of real-world data, from scarcity and privacy to rare or missing scenarios
↗Let's talk
Available for keynotes, panels, podcasts, interviews and editorial collaborations.