Integrating LLMs With CRM Systems: Salesforce, HubSpot, and Custom
Patterns and pitfalls for putting LLMs inside CRMs in 2026 — auth, audit, data residency, and the integrations that actually pay back.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Patterns and pitfalls for putting LLMs inside CRMs in 2026 — auth, audit, data residency, and the integrations that actually pay back.
AI roadmaps need to survive reorgs, leadership changes, and budget cuts. The 2026 patterns for resilient AI planning.
Voice commerce went from gimmick to revenue channel in 2026. The retail deployments by surface — drive-through, kiosk, in-app — and the conversion data.
A/B testing LLM features needs different metrics than traditional A/B. The 2026 patterns for sound LLM experimentation in production.
Streaming index updates avoid the 'rebuild and redeploy' tax. The 2026 patterns for real-time vector indexing in production systems.
Multi-layer cache designs for AI apps — prompt cache, response cache, retrieval cache, embedding cache — and how they compose in 2026.
ERP integration is hard; ERP integration with AI is harder. The 2026 patterns for adding agents without breaking SOX, audit, or compliance.
Embedding models are not interchangeable. The 2026 comparison of OpenAI, BGE, Voyage, Cohere, and the dimensions that matter for production RAG.
Embedding quantization cuts storage 4-32x at modest recall cost. The 2026 quantization techniques and where each one wins.
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