Anastasia Lidia Scotto
AI GOVERNANCE · ISO/IEC 42001 · PRODUCT
Product Leader and ISO/IEC 42001 Lead Implementer, I help organizations assess their AI governance against ISO/IEC 42001, identify governance and risk gaps, and turn them into practical remediation roadmaps that Product and Technology teams can actually implement.
ISO/IEC 42001 Lead Implementer · Product Leader · PhD
An AI governance assessment should do more than identify missing documentation. I look at how the AI system actually works, what evidence already exists, where material governance gaps remain and what should happen next.
01
Understand the AI system
Scope, intended use, stakeholders, architecture and lifecycle.
02
Review evidence
Policies, processes, risk documentation, product practices and technical evidence.
03
Assess alignment
Evaluate applicable ISO/IEC 42001 requirements and controls.
04
Identify material gaps
Separate missing documentation from genuine governance and operational weaknesses.
05
Build the roadmap
Prioritize remediation actions, ownership and evidence needed to close the gaps.
SERVICES
From assessment to action
Two connected ways to make AI governance practical: understand where your organization stands, then equip product teams to act on what the assessment reveals.
01
AI Governance Gap Assessment
A practical, evidence-led assessment of how an AI system is governed, where material gaps remain and what to address next.
02
AI Governance Training
Practical training that helps Product teams turn AI Governance principles into everyday working practice, grounded in ISO/IEC 42001.
The Gap Assessment identifies where an organization stands; the Training equips product teams to close the gaps in practice.
SELECTED WORK
Selected AI Governance Assessments
Practical examples of how I assess different types of AI systems against ISO/IEC 42001, examining intended use, stakeholders and impacts, risk management, lifecycle evidence, monitoring and operational controls, and translate findings into actionable remediation.
AI GOVERNANCE TRAINING
AI Governance Training
Practical training that helps product teams turn AI Governance principles into everyday working practice, grounded in ISO/IEC 42001.
Foundations of AI Governance & Responsible AI
AI Governance and Responsible AI principles, and why they matter for product teams
Key AI risks: bias, reliability, transparency, privacy and safety
Roles, responsibilities and accountability; how governance, regulatory compliance and business value relate
AI Governance Across the Product Lifecycle
Identifying risks and assessing impacts as early as Product Discovery
Defining guardrails and human oversight as product decisions
Post-release monitoring: assessing real user impact beyond AI performance metrics alone, managing feedback and improvement
Tools & Practices for Product Teams
AI System Cards to document the characteristics, purpose, limitations and risks
AI Risk Registers and Impact Assessments to identify, evaluate and manage risks and impacts
Governance checkpoints, AI Governance Assessment, gap analysis, and remediation roadmap
Get in touch to discuss training for your team
ABOUT
I’m Anastasia Lidia Scotto, a Product Leader and ISO/IEC 42001 Lead Implementer with more than a decade of experience building and delivering digital products across AI, SaaS, education and e-commerce.
My background in Product means I approach AI governance from the perspective of how systems are actually designed, developed, measured and operated, not only how requirements are documented.
Before moving into Product, I trained as a scientist and completed a PhD. That combination of scientific thinking, product execution and AI governance shapes the way I assess AI systems: evidence-driven, structured and focused on practical outcomes.
LET’S TALK
Based in Italy · Working with European organizations
Anastasia Lidia Scotto
AI Governance · ISO/IEC 42001 · Product
© 2026 Anastasia Lidia Scotto. All rights reserved.