Beyond the Model: Governing AI for Real-World Impact
AI moves fast, but responsibility for its decisions always remains with the organization. As adoption scales, the consequences of a single mistake increase: from scams and deepfakes, through incorrect chatbot decisions, to reputational crises and legal liability.
During this webinar, based on real examples from energy, customer service, media and HR, we will show why most AI problems do not stem from model quality, but from a lack of control. Participants will understand how governance stops being mere compliance and becomes a prerequisite for productive and safe AI use at scale.
Webinar details
Date
June 25th
Time
10:30 AM CET
Speakers
Jaroslaw Zarychta
Mateusz Jakalak
Date
June 25th
Time
10:30 AM CET
Speakers
Jaroslaw Zarychta
Mateusz Jakalak
Key Topics
01
Real-world AI incidents
Deepfakes, chatbot failures, and emerging business risks
02
Why AI failures happen
Governance gaps vs. model limitations
03
From control to scale
Turning governance into a system that enables safe AI adoption
04
Balancing risk and productivity
How to scale AI without exposing the organization to costly mistakes
Presenters
Jaroslaw Zarychta Head of Business Development
Jarosław is Head of Business Development at Billennium, where he drives growth and innovation across areas like cloud, data, AI, and security.
With experience at global technology companies including Microsoft and Google, he brings a strong blend of technical expertise and strategic insight.
Mateusz Jakalak AI Compliance Lead
Mateusz is a technology leader at Billennium, specializing in delivering innovative solutions across areas such as software development, data, and digital transformation.
With a strong focus on aligning technology with business needs, he helps organizations turn complex challenges into practical outcomes.
Who is this for?
Business leaders scaling AI initiatives
Compliance and risk professionals
AI and data leaders
Anyone responsible for AI governance and implementation
What you’ll learn
01
How real organizations handle AI incidents across industries (energy, customer service, media, HR)
02
Why governance is not just compliance, but a driver of safe AI scaling
03
How to move from reactive incident management to proactive AI control systems
04
Practical ways to ensure AI delivers productivity without risk
