Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
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AI in insurance is furthest along in the parts of the workflow farthest from a payout decision — damage photos, fraud flags — and stalls hard exactly where a model output decides who gets paid or covered.
Fraud detection, credit underwriting, and algorithmic trading all use "AI" today — but the maturity, autonomy, and regulatory scrutiny at each stop are wildly different, and the most-hyped win (Klarna's chatbot) had to be walked back.