What Breaks Trust in Enterprise AI: Lessons from Scaling AI Across a Global Organization
About this session
As organizations race to deploy AI, many discover that technical success does not guarantee adoption. Even the most capable AI products struggle when users question accuracy, relevance, transparency, or governance. Drawing from lessons learned introducing AI-powered experiences within a complex global organization, this session explores the factors that build or break trust in enterprise AI. From hallucinations and knowledge quality to stakeholder alignment and user expectations, attendees will gain practical insights for designing AI products that earn credibility and drive lasting adoption.
Speaker
Key takeaways
- Why trust is the most important and most overlookedAI product metric.
- The common mistakes that cause users to abandon enterprise AI solutions.
- Practical strategies for increasing confidence, adoption, and business value.