Speaker

Teodora Anna Sveva Cerrato is a Project Lead and Change Manager at Tokio Marine Europe. Her work focuses on helping organizations distinguish practical AI value from hype, with an emphasis on business results, change, and delivery in the insurance sector. Her professional lens combines insurance expertise with a focus on AI governance and value realization, grounded in a career spanning transformation, audit, and business acceleration roles. She brings international experience across Life & Health and Property & Casualty lines, including work with AXA XL. She is PMP-certified, is pursuing the PMI-CPMAI credential, and presented "Beyond Delivery: Building a Sustainable Future with AI-Powered Projects" at the PMI BeNeLux Summit in 2025. She also served on the board of the MIB Trieste School of Business from 2020 to 2023.

 

Making AI Deliver: How Project Leaders Create Measurable Impact Nearly 80% of AI projects fail to deliver measurable business impact: Teodora Anna Sveva Cerrato shows project leaders how to beat those odds in her session, "Making AI Deliver: How Project Leaders Create Measurable Impact". This candid, pragmatic session tackles AI delivery as a leadership challenge with impact at every level (project, organizational, and societal), offering fresh perspectives and actionable insights to turn AI ambition into measurable, responsible outcomes. Drawing on real-world experience across the financial services and insurance sectors, Teodora examines how to define success in AI projects where data quality is critical, outcomes are probabilistic, requirements keep evolving, and stakeholders often carry unrealistic expectations. She introduces structured frameworks, including the CPMAI workbook, that give project leaders the discipline and confidence to govern AI delivery rather than leave it to chance. Through a live Q&A, participants question and stress-test these ideas against their own AI initiatives. They leave with a practical playbook for assessing AI projects, measuring business impact, and building value that lasts well beyond the proof-of-concept stage.

 

Learning goals summary:

• Understand that it's not just about using AI tools – it's about proving genuine business value before, during, and after delivery.
• Give project leaders the confidence to treat AI's unpredictability not as a threat but as a discipline they can govern, measure, and lead.
• Define measurable success criteria and value metrics aligned with business needs before execution begins.
• Build a value-realization roadmap, and a responsible AI governance approach under the EU AI Act, that extends well past project delivery.
• Walk away ready to stop talking about AI and start delivering measurable, responsible impact.