🧠 SoftRobot AI Command Center

Self-Driving Enterprise · ESS AP AR GL Zero Data Entry

⚡ 24/7 AI Workforce 📥 No Manual Data Entry

📥 Input Ingestion

🧑‍💼 Work Operators

📦 Apps Schedular

⏰ Output Job History

📊 Basic Flow

📊 Detail Flow

📊 Flow Chart

📝 Define Flow

AI Workforce — Zero Data Entry Enabled

📥 How Data Gets Here: Every table shown below is auto-populated by web crawlers, APIs, OCR, email parsing, or Trello integration. No manual data entry required.

Specialized workers grouped by business function with their data sources.

Group	Name	Role	Description	Auto Apps	Data Source → Table	Status

Auto Apps — Powered by Auto-Ingested Data

📥 Data Source: Each app reads from tables that are automatically populated by ingestion engines (crawlers, APIs, OCR, etc.).

Packaged operational capabilities grouped by business area with data dependencies.

Group	App Code	Name	Logic	Schedule	Approval	Data Source → Table	Active

Job Execution History — including Ingestion Jobs

Recent runs including automated data ingestion jobs.

Group	Timestamp	App / Job	Action	Sample Output	Status

📥 Data Ingestion Pipeline — Zero Manual Data Entry

🌐 How It Works: Data flows automatically from external sources into SQL tables using Web Crawlers, APIs, OCR, Email Parsing, and Trello Integration. No human typing required.

All active data sources that auto-populate your business tables.

Source Name	Type	Target Table	Schedule	Active	Description	Last Run

📊 Ingestion Flow

End-to-End Flow: Ingestion → Execution → Output

End-to-End Flow: Ingestion → Execution → Output

System Flow

Visual walkthrough of how data is ingested and triggers autonomous actions.

📈 End-to-End Flow: Ingestion → Execution → Output

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Source" participant Ingestion as "⚙️ Ingestion
Engine" participant Tables as "🗄️ SQL
Tables" participant Orchestrator as "🧠 Orchestrator" participant Rules as "📖 Decision
Tables" participant Operator as "🤖 Operator" participant Tools as "🔧 Auto Apps" participant Output as "📤 Output" External->>Ingestion: Web Crawl / API / OCR / Email Ingestion->>Tables: Auto-Populate Tables Tables->>Orchestrator: New Data Detected Orchestrator->>Rules: Query Matching Rule Rules-->>Orchestrator: Return Action Orchestrator->>Operator: Assign Task Operator->>Tools: Execute Auto App Tools->>Output: Email / PO / Invoice / Report

Detailed Flow Chart

Visual walkthrough of how a self‑driven enterprise app works.

Flow Chart

Visual walkthrough of how a self‑driven enterprise app works.

📝 Declarative Studio — YAML ↔ Mermaid ↔ SQL

⚡ 3‑Way Sync: Edit YAML (source of truth) → auto‑generates Mermaid (visual) and SQL (executable). Import/Export YAML for version control.

📄 YAML (Source) declarative rules

📊 Mermaid (Visual) flowchart TD

🗄️ SQL (Executable) deployable rules

-- SQL will appear here after sync --

💡 YAML Schema: Define rules with id, priority, condition (field/operator/value/min/max), and action (type/params). The system syncs to Mermaid and SQL.