Building AI that understands your business and produces decisions you can trust

• Why more data and more AI have made decision confidence worse, not better
• The six risks inherent to AI, and how to control each one
• The Five Pillars of Trusted AI
• How to make every AI recommendation defensible in the boardroom
• Why human oversight is a feature of Trusted AI, not a constraint

The hype phase is ending, and executives now have to prove a return on what they’ve spent on AI. Most are hitting the same wall: a trust problem. They can’t fully rely on the decisions their AI recommends, and they can’t trace or audit how it reached them. Without that, there’s no real confidence in what their automated workflows deliver.

Executives are learning firsthand the risks built into how AI works today: excessive system access, data exposure, the breakdown of app-level security, loss of human control, opaque reasoning no one can trace, and hallucination. Any one of them is enough to make a leader second-guess the output. Another dashboard or a smarter chatbot won’t fix it.

In this session, we’ll walk through the Five Pillars of Trusted AI and how they combine into an AI workflow that produces insights and decisions you can trust. You’ll see how the pillars control each of the six risks in practice, and how they deliver insights and decisions 100x faster with complete confidence.

You’ll leave knowing what Trusted AI requires and how to assess where your organization stands today.