Eric Siegel

Eric Siegel, founder and CEO of Gooder AI and author of The AI Playbook and Predictive Analytics, argues that durable AI value starts with business outcomes, not model metrics. His playbook pairs generative systems with predictive scoring to create agent-based workflows that automate the easy 85 percent while routing the riskiest 15 percent to humans, boosting personalization, controlling risk, and cutting cost. He treats predictive scores as policy levers that govern actions, handoffs, and triage, and insists that KPIs like profit, savings, revenue lift, service levels, and loss avoidance replace accuracy stats. Gooder AI helps teams translate model performance into dollars so deployments get funded and shipped, supported by strong data governance, security, and human-in-the-loop controls. The winning workflow defines KPIs, validates models in business terms, sets thresholds, pilots, monitors drift, and iterates. His north star is simple: AI creates potential value, deployment captures it.

Episode Summary

Generative AI is great until it goes wrong. Eric Siegel, CEO of Gooder AI and author of The AI Playbook, shows how predictive models become the guardrails that make AI agents safe, profitable, and deployable. Learn how to rank risk, route the right 15 percent to humans, and turn proofs of concept into production wins..