Session: Agentic AI for Enterprise that Truly Works
The riskiest product decisions in AI rarely look risky when you make them.
Models are improving rapidly, but they’re still imperfect. They miss edge cases. They sometimes fail to follow instructions. Faced with that reality, teams do what good engineers have always done - they design around the limitations. This results in products based on decision trees and sub-agents, rigid workflows and deterministic fallbacks, and guardrails everywhere.
Bio
Lucia Stoicescu
Partner innovatics
IT Leader with 20 years of expertise in software and consultancy. Harvard alumna driven by purpose and committed to operational excellence, building high performance teams, advancing ethical AI and responsible innovation.
Emmanuelle Savarit
Executive Advisor – AI Strategy, Governance & Ethics Emmanuelle Savarit Ltd
Emmanuelle Savarit is an independent executive advisor specialising in AI governance, executive decision-making, and responsible AI adoption.
She holds a PhD in Psychology and is a former Global Head of UX Research at enterprise scale, with experience across large platforms, regulated environments, and public-sector digital transformation.
Emmanuelle advises senior leaders and boards on scaling AI responsibly, aligning AI strategy with business value, and embedding human-centred governance.
Maria Uvarova
Senior VP, Software Products Stellantis
Maria Uvarova is a C-suite product and technology leader with over 15 years of experience building and scaling digital platforms in global organizations. She is currently Chief Product Officer and SVP of Product Management at Stellantis, where she leads large, distributed teams working on software-defined vehicles and data-driven products.
Anabela Lemos
Director of Strategy Encora
Anabela Lemos is Director of Strategy at Encora, a global tech company. As a mother of two, she's passionate about empowering women in tech and sharing strategies for work-life balance.