AI models predict risk, detect fraud and recommend next actions. But when automation begins to act, the real question is no longer prediction — it’s accountability.
Inside you’ll discover:
• Why AI prediction cannot guarantee that a decision outcome is correct
• The limits of RAG, “reasoning” models and agentic AI in regulated environments
• How Embedded Decision Intelligence creates automation that is explainable, accountable and regulator-defensible
AI can inform decisions.
But insurers must remain accountable for outcomes.
