{
  "docId": "019dd923-5ca1-7489-b636-1905a2ddbc1f",
  "docSlug": "ad42cfa8e31c0209",
  "documentTitle": "Rise of Agentic AI Report",
  "authorId": "Capgemini",
  "authorName": "Capgemini",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 94,
  "pageCount": 116,
  "prevPage": 93,
  "nextPage": 95,
  "slideType": "appendix",
  "function": "appendix",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide provides definitions for technical terminology used in the context of AI agent collaboration.",
  "elementsJson": [
    "bullet_list",
    "photo"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b636-1905a2ddbc1f/94",
  "deckHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b636-1905a2ddbc1f#slide-94",
  "components": [
    {
      "bbox": {
        "h": 1,
        "w": 0.3,
        "x": 0.7,
        "y": 0
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "71e70a0b-593d-425c-951c-b9065b2bb8cf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.65,
        "x": 0.04,
        "y": 0.37
      },
      "kind": "list",
      "text": "Agentic workflow: Agentic workflows are AI agent-driven processes where AI agents manage, coordinate, and execute end-to-end processes with less human intervention.\nMulti-agent system: A multi-agent system (MAS) consists of multiple independent agents operating within a common environment, working together to achieve goals beyond what any individual agent could accomplish. These systems, sometimes called agentic architectures or frameworks, represent the cutting edge of autonomous system development.\nModel Context Protocol (MCP): MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.\nAgent-to-Agent (A2A) Protocol: A open protocol that provides a standard way for AI agents to communicate with each other, securely exchange information, and coordinate actions on top of various enterprise platforms or applications, regardless of the underlying framework or vendor. It complements Anthropic's Model Context Protocol (MCP).\nInternet of AI agents: An open, interoperable, and quantum-safe Internet for agent-to-agent collaboration between AI agents across organizational boundaries.\nOrchestration: The coordination and management of multiple AI agents, workflows, tools, and systems towards shared objectives.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "730f8f0f-d525-4e57-a0fd-f34afbb4563c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.19,
        "x": 0.04,
        "y": 0.23
      },
      "kind": "title",
      "text": "Appendix",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "102c45df-45be-482a-9f77-a7c92e150cc9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.08,
        "x": 0.04,
        "y": 0.32
      },
      "kind": "title",
      "text": "Glossary",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "70af1c3c-1f55-42a3-b166-3a1f06bc9596",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}