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AI INTEGRATION PATTERNS

AI integration

AI integration for business websites is the disciplined use of language models inside a product or site — drafting, summarizing, routing and answering — behind clear boundaries, real data controls and honest expectations about what the model does and does not know.

AI is becoming a normal layer of web products, but most failed integrations share the same causes: no clear job to be done, no guardrails, no fallback. Treating the model as an unreliable-but-useful component — not a magic box — is what makes integrations survive contact with real users.

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INSIGHT

Practical AI integration for B2B websites: patterns that survive contact with users

Where AI genuinely helps a B2B website (drafting, summarizing, routing, answering within bounds), where it fails, and the engineering boundaries — data controls, fallbacks, cost ceilings — that make integrations durable.

· 4 MIN READ

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