Building trust in agentic tools: What we learned from our users

This post details research findings on how users build trust in AI agents, identifying 'micro-inflection points' across four pillars: safeguarding actions (confirmation dialogs, rollback, secure boundaries), transparency (progress updates, action explanations, clear error handling), remembering context (preference retention, context awareness, adaptive learning), and anticipating needs (pattern recognition, intelligent agent selection, environment analysis). It provides practical implementation advice for organizations, emphasizing starting with low-risk environments, designing for continuous orchestration with human intervention, maintaining audit trails, and personalizing experiences.