Tag: AI Agents

  • A2A vs MCP: Understanding the Difference—and Why Customer Service Needs Both 

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    Customer service is entering a new era. For years, organizations relied on chatbots, IVRs, and scripted workflows. Today, the focus has shifted to agentic AI—systems that can reason, collaborate, and act with real autonomy. Two architectural concepts are driving this shift: A2A (Agent-to-Agent) and MCP (Model Context Protocol).  These terms…

  • The Rise of Agential AI in Customer Service: A New Paradigm of Intelligent Support

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    The landscape of customer service is experiencing a transformative revolution with the emergence of agential artificial intelligence – sophisticated AI systems that demonstrate agency, autonomy, and purposeful behavior. Moving beyond the capabilities of conventional AI that simply responds to prompts, agential AI systems actively engage in decision-making, maintain persistent memory,…