[
  {
    "name": "Natural Language Processing",
    "category": "nlp",
    "description": "Processes raw marketing and revenue text so downstream models can understand channels, offers, and customer signals.",
    "signal_keywords": [
      "nlp",
      "language",
      "text",
      "token",
      "entity",
      "sentiment",
      "classification",
      "embedding"
    ],
    "pipeline_components": [
      "Tokenization and normalization",
      "Entity and intent extraction",
      "Sentiment and quality scoring"
    ],
    "tooling": [
      "spaCy",
      "Hugging Face Transformers",
      "AWS Comprehend"
    ],
    "datasets": [
      "campaign_briefs",
      "support_transcripts",
      "performance_notes"
    ],
    "evaluation_metrics": [
      "precision",
      "recall",
      "f1_score"
    ],
    "revenue_programs": [
      "Audience segmentation",
      "Creative intelligence",
      "Support automation"
    ],
    "orchestration_play": "Instrument NLP preprocessing so marketing briefs, customer transcripts, and performance notes are structured for downstream models."
  },
  {
    "name": "Natural Language Understanding",
    "category": "nlu",
    "description": "Interprets campaign requests, customer intent, and risk language so the ANI can choose the right revenue workflow.",
    "signal_keywords": [
      "nlu",
      "intent",
      "understand",
      "semantic",
      "context",
      "meaning",
      "slot",
      "classification"
    ],
    "pipeline_components": [
      "Intent detection",
      "Entity grounding",
      "Dialogue state tracking"
    ],
    "tooling": [
      "Amazon Comprehend",
      "Google Dialogflow CX",
      "Rasa Open Source"
    ],
    "datasets": [
      "qualified_lead_notes",
      "sales_call_transcripts",
      "support_tickets"
    ],
    "evaluation_metrics": [
      "intent_accuracy",
      "slot_filling_f1",
      "turn_success_rate"
    ],
    "revenue_programs": [
      "Lead qualification",
      "Pipeline routing",
      "Risk detection"
    ],
    "orchestration_play": "Map prompts and live transcripts to intents so the ANI dispatches the correct campaign, trading, or monetization process."
  },
  {
    "name": "Natural Language Generation",
    "category": "nlg",
    "description": "Produces persuasive copy, summaries, and outreach cadences tuned by the ANI's campaign and statistical signals.",
    "signal_keywords": [
      "nlg",
      "generation",
      "copy",
      "write",
      "draft",
      "content",
      "email",
      "ads"
    ],
    "pipeline_components": [
      "Prompt templating",
      "Style and compliance guards",
      "Performance scoring"
    ],
    "tooling": [
      "OpenAI GPT",
      "Anthropic Claude",
      "Amazon Bedrock"
    ],
    "datasets": [
      "top_performing_copy",
      "brand_voice_guidelines",
      "regulatory_checklists"
    ],
    "evaluation_metrics": [
      "conversion_rate_uplift",
      "response_rate",
      "brand_safety_score"
    ],
    "revenue_programs": [
      "Lifecycle campaigns",
      "Ad creative",
      "Sales enablement"
    ],
    "orchestration_play": "Use NLG surfaces tuned by statistical benchmarks to spin up copy variations, sales cadences, and executive summaries."
  },
  {
    "name": "Conversational AI Orchestration",
    "category": "conversational_ai",
    "description": "Combines NLP, NLU, and NLG into agentic loops that run autonomous chat, voice, and messaging revenue plays.",
    "signal_keywords": [
      "chatbot",
      "conversation",
      "assistant",
      "dialogue",
      "voice",
      "agent",
      "livechat",
      "virtual"
    ],
    "pipeline_components": [
      "Conversation policy engine",
      "Tool calling and fulfilment",
      "Continuous learning memory"
    ],
    "tooling": [
      "LangChain",
      "LlamaIndex",
      "Twilio Flex"
    ],
    "datasets": [
      "conversation_logs",
      "knowledge_bases",
      "escalation_notes"
    ],
    "evaluation_metrics": [
      "containment_rate",
      "customer_satisfaction",
      "revenue_per_conversation"
    ],
    "revenue_programs": [
      "Autonomous sales desks",
      "24/7 support",
      "Live commerce"
    ],
    "orchestration_play": "Blend language experts with agentic loops so conversational channels transact, upsell, and resolve without human intervention."
  }
]