Why you SHOULD sign up
- Learn how to build a clear model to track tool costs, training effort, and actual productivity wins
- Move past basic license counts to measure true operational shifts
- Hear what is working and what is not directly from leaders managing AI integration on the ground
Speakers
Luis Henrique Caturna
Regional Director Portugal & Europe | DRAivv
Luis helps organizations reduce operational inefficiencies and build the internal capability to adopt AI sustainably. With 20+ years of experience across technology, business development and organizational change, he works with leaders on AI adoption strategies, change management and executive training.
Magdalena Siwek
AI Change and Adoption Specialist | Go reply
Magdalena focuses on turning emerging technologies into adopted, everyday realities, specializing in human-centric AI adoption, change management frameworks such as AiDOPT, and evaluation methodologies that measure the impact, safety and effectiveness of generative AI implementations. Recognized among the Government Transformation 100, she has extensive experience in central and local government and enterprise consulting.
Stuart Byers
Ai Transformation Specialist
Stuart helps organisations turn new processes, systems and AI into lasting change. With 30+ years of experience across manufacturing, technology and AI transformation, he focuses on the governance, training and habits that drive adoption, improve customer outcomes and reduce manual work.
About the webinar
In 2026, corporate AI deployment has reached a critical inflection point. Organizations are no longer evaluated on whether they have deployed generative AI tools, but on whether those investments translate into measurable ROI.
Despite billions invested globally in AI licensing and enablement, executive leadership and finance teams are asking a fundamental question: What is the true return on investment?
Measuring AI ROI goes beyond tracking simple tool engagement or user logins. License activation is a vanity metric; true ROI materializes when workforce capabilities shift, project velocity increases, and operational drag decreases. Without clear framework mapping, AI adoption often leads to fragmented workflows, redundant software costs, and minimal impact on the bottom line.
Join industry workforce leaders and talent strategists as we break down the practical mechanics of measuring corporate AI adoption. Join this session to get real insights into how modern organizations move beyond basic software rollouts. Our panel will share practical strategies for linking your AI investments straight to team performance, skill growth, and clear financial returns.
What you get by signing up:
- A Practical ROI Framework: Build a clear model to track tool costs, training effort, and actual productivity wins without the guesswork.
- Metrics That Actually Matter: Move past basic license counts to measure true operational shifts, such as faster project delivery and reduced error rates.
- Skill-First Performance Tracking: See how tracking employee capability gains gives you a clear picture of whether your AI investments are actually taking root.
- Spotting Hidden Operational Friction: Identify silent productivity drains (like tool overload and messy workflows) that eat away at your returns.
- Real-World Execution: Hear what is working and what is not directly from leaders managing AI integration on the ground.
Register now
Von der KI-Einführung zur KI-Anpassung in der Arbeitswelt 2026
How long?
1 hour
When?
September 16th, 2026
12PM GMT / 1PM CET
For whom?
HR and Talent leaders, Operations Executives, Technology Strategists