AdaptiveFlow AI

Real-Time Cognitive Process Intelligence Engine

AdaptiveFlow AI is a next-generation, AI-powered real-time business operations intelligence platform that autonomously discovers, monitors, predicts, and heals business processes using advanced artificial intelligence. Unlike traditional AIOps tools that only monitor IT infrastructure, AdaptiveFlow AI is the world's first general-purpose Cognitive Process Intelligence Engine that can understand, analyze, and optimize ANY business process in real-time.

🚀 What Makes This Unique

This project does NOT exist in the market today. Most platforms are either:

• IT-only AIOps (Datadog, Dynatrace) - can't handle business processes
• Static BI dashboards (Tableau, PowerBI) - no real-time AI execution
• Generic chatbots - no deep business context
• RPA tools - only automate what you tell them

AdaptiveFlow AI combines all of these capabilities in ONE platform:

1. Autonomous Process Discovery - AI learns your business processes by observing data patterns (no manual BPMN modeling)
2. Cognitive Anomaly Detection - Detects anomalies not just in metrics, but in process flows and cross-process correlations
3. Predictive Process Intelligence - Predicts process failures and bottlenecks BEFORE they happen
4. Natural Language AI Copilot - Talk to your live business data using conversational AI
5. Autonomous Process Healing - AI can trigger corrective actions with human-in-the-loop approval
6. Cross-Process Intelligence - Detects correlations across different business processes
7. Explainable AI - Every AI decision shows detailed reasoning

🏗️ Architecture

flowchart TB
    subgraph FE["🖥️ Angular 17 Frontend"]
        direction LR
        A1["📊 Dashboard
(Real-time)"]
        A2["🚨 Anomalies
(Explain)"]
        A3["🤖 AI Copilot
(Chat)"]
        A4["📈 Predictions"]
        A5["⚡ Actions
(Approval)"]
        A6["💓 Process
Health"]
    end

    subgraph GW["🔌 Communication Layer"]
        G1["WebSocket STOMP"]
        G2["REST API"]
    end

    subgraph BE["☕ Spring Boot 3.2 Backend"]
        direction LR
        B1["📥 Event
Ingestion"]
        B2["🔍 Anomaly
Detection"]
        B3["🔮 Predictive
Engine"]
        B4["💬 AI Copilot
(OpenAI GPT-4o)"]
        B5["⚙️ Autonomous
Action Engine"]
        B6["🔗 Cross-Process
Correlation"]
    end

    subgraph DB["🗄️ Data Layer"]
        D1["🗃️ SQL Server /
H2 Database"]
        D2["📋 Events"]
        D3["⚠️ Anomalies"]
        D4["📊 Predictions"]
        D5["✅ Actions"]
    end

    FE <--> GW
    GW <--> BE
    BE <--> DB
    D1 --- D2 & D3 & D4 & D5

    classDef fe fill:#1e3a5f,stroke:#4fc3f7,color:#e0f7fa,rx:8
    classDef gw fill:#1a237e,stroke:#7986cb,color:#e8eaf6
    classDef be fill:#1b5e20,stroke:#66bb6a,color:#e8f5e9,rx:8
    classDef db fill:#3e2723,stroke:#ff8a65,color:#fbe9e7,rx:8
    class A1,A2,A3,A4,A5,A6 fe
    class G1,G2 gw
    class B1,B2,B3,B4,B5,B6 be
    class D1,D2,D3,D4,D5 db

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Request Flow:

1. Angular frontend connects via WebSocket STOMP for real-time streaming and REST API for CRUD operations
2. Event Ingestion service ingests business events across 6 process types and feeds the pipeline
3. Anomaly Detection applies z-score analysis + OpenAI GPT-4o reasoning for explainable alerts
4. Predictive Engine forecasts failures 30 minutes ahead with confidence scoring
5. AI Copilot translates natural language queries into process insights using OpenAI GPT-4o-mini
6. Autonomous Action Engine generates corrective actions with human-in-the-loop approval
7. Cross-Process Correlation detects hidden dependencies across business process types
8. All state is persisted to SQL Server (prod) / H2 (dev) via Spring Data JPA

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Created with ❤️ for the future of AI-powered business operations.