Agentic-Enterprises

Agentic Enterprises 🏢🤖

An advanced n8n orchestration workflow that acts as an automated corporate command center. It bridges the communication gap between executive leadership and individual departments by translating high-level CEO goals into highly structured, actionable JSON tasks tailored for specific teams.

Instead of a CEO manually interpreting and relaying individual mandates to different branches, this multi-agent system uses LangChain agents powered by Google Gemini to decompose constraints, design tactical department strategies, resolve cross-team budget conflicts, and compile an aggregated executive dashboard.

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🚀 How It Works

             ┌──────────────────────────┐
             │     CEO Input Trigger    │
             └─────────────┬────────────┘
                           ▼
            ┌───────────────────────────┐
            │ CEO Orchestrator AI Agent │
            └─────────────┬────────────┘
                           │
 ┌──────────────┬──────────┴───┬──────────────┬──────────────┐
 ▼              ▼              ▼              ▼              ▼  ┌───────┐    ┌───────────┐   ┌─────────┐   ┌───────────┐  ┌─────────┐  │ Sales │    │ Marketing │   │ Finance │   │Operations │  │ Support │  │ Agent │    │   Agent   │   │  Agent  │   │   Agent   │  │  Agent  │  └───┬───┘    └─────┬─────┘   └────┬────┘   └─────┬─────┘  └────┬────┘
 │              │              │              │              │
 └──────────────┼──────────┬───┴──────────────┴──────────────┘
                ▼          ▼
          ┌───────────────────────────┐
          │ Conflict Resolution Agent │
          └─────────────┬────────────┘
                        ▼
          ┌───────────────────────────┐
          │  Final Aggregator Agent   │
          └─────────────┬────────────┘
                        ▼
          ┌───────────────────────────┐
          │    Executive Dashboard    │
          └───────────────────────────┘

1. Executive Trigger: The workflow ingests high-level company directives (e.g., “Increase MRR by 50% in 90 days”) alongside foundational financial constraints like budgets, current Customer Acquisition Cost (CAC), and churn rate.
2. Strategic Orchestration: The CEO Orchestrator Agent processes the mandate and systematically breaks it down into unique operational objectives for 5 core corporate branches: Sales, Marketing, Finance, Operations, and Customer Support.
3. Autonomous Department Processing: A Switch router dynamically fans out tasks to specialized department agents. Each sub-agent uses a custom LangChain structured output parser to respond with strict JSON schemas containing:
   • Tactical action plans & initiatives.
   • Measurable metrics and Target vs. Current KPIs.
   • Specific resource requests (budgets, headcount).
4. Conflict Resolution: The Conflict Resolver Agent gathers all departmental outputs, cross-evaluates budget/resource requests against the original enterprise constraints, balances priorities, and determines finalized allocations.
5. Dashboard Generation: The Final Aggregator compiles the data into a centralized corporate layout complete with an executive summary, key global metrics, localized team risk analyses, and immediate next steps.

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🛠️ Tech Stack & Architecture

• Workflow Engine: n8n (Advanced AI & Multi-Agent node integration)
• LLM Engine: Google Gemini Models (lmChatGoogleGemini)
• Framework Layer: LangChain Agents & Structured Output Parsers (@n8n/n8n-nodes-langchain)
• State Management: Window-buffered custom session memories tracking global metrics sequentially

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📁 Repository Contents

• agenticenterprises.json - The complete, production-ready n8n canvas export file containing all node relationships, system instructions, and schemas.
• README.md - Technical overview documentation.

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⚙️ Setup and Installation

Prerequisites

1. A running instance of n8n (v1.19.0+ recommended for stable advanced AI nodes).
2. A valid Google AI Studio (Gemini) API Key.

Deployment Steps

1. Download the agenticenterprises.json file from this repository.
2. Open your n8n interface and create a blank new workflow.
3. Click on the three dots in the top right corner and select Import from File. Choose the downloaded .json file.
4. Click on any of the Google Gemini Chat Model nodes and set up your Google API Credentials.
5. Ensure your trigger variables (such as target timelines, budgets, and milestones) match your testing requirements in the Workflow Configuration node.
6. Click Execute Workflow.

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📋 Example Schema Formats

When running, the system guarantees structured, deterministic output profiles out of raw textual goals. For instance, the Marketing Agent enforces the following schema layout to control business alignment:

{
  "department": "marketing",
  "channel_strategy": {
    "paid_ads": 0,
    "content": 0,
    "seo": 0
  },
  "lead_targets": {
    "monthly_leads": 0,
    "mql": 0,
    "expected_cac": 0
  },
  "resource_needs": {
    "budget_required": 0,
    "additional_headcount": 0
  },
  "kpis": [
    {
      "metric": "string",
      "target": 0,
      "current": 0
    }
  ]
}

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