Most enterprise AI projects never reach production. Not because the models are bad. Not because the teams are incompetent. But because of five structural debts that accumulate silently during the pilot phase — and detonate the moment you try to scale.
In this episode, Ari Joury (PhD, particle physics; Founder & CEO of Wangari Global; author, O’Reilly Media) breaks down the complete taxonomy of AI production failure: Technical Debt, Operational Debt, Evaluation Debt, Integration Debt, and Governance Debt. Drawing on research from MIT, McKinsey, Gartner, and S&P Global — as well as his own experience deploying causal AI systems in the insurance industry — Ari gives you the diagnostic framework to identify which debts your project is carrying, and the playbook to pay them down before they kill your launch.
Topics covered: enterprise AI failure rates, LLM production readiness, AI technical debt, orchestration, evaluation scorecards, governance frameworks, agentic AI systems, insurance AI, regulatory compliance, demo-to-production gap.
Wangari is the newsletter and podcast for practitioners and leaders navigating the real work of enterprise AI. New podcast episodes every Friday.
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