Insurance companies manage enormous amounts of customer and policy information. From leads and policy details to claims, renewals, customer conversations, documents, payments, and service requests, insurance businesses often have data spread across multiple systems. A traditional CRM can organize much of this information. But AI in insurance CRM takes customer management a step further. Instead
AI agents are moving beyond simple chatbots. Instead of only answering questions, modern AI agents can retrieve information, use external tools, interact with business applications, execute workflows, and collaborate with other AI systems. But this creates an important technical challenge: How do AI agents communicate with the tools, applications, databases, and other agents they need
Artificial intelligence has moved far beyond systems that simply answer questions or generate content. Businesses are now experimenting with AI systems that can interpret goals, plan multiple steps, use software tools, retrieve information, and take actions with limited human intervention. This shift has introduced two terms that are increasingly used together: AI agents and agentic
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