Hubic
  • Hubic AI
  • EMBARK UPON
    • Introduction
      • Proof-of-Inference (PoI)
      • Proof-of-Weights (PoWg)
      • Why Hubic?
      • Main Actors and Their Roles
      • Architecture Overview
      • Use Case Examples
      • Hubic AI Hub – Model Registry
      • RWA Integration
  • Registry & System Architecture
    • Sovereign AI Agents (On-chain AI Logic Executors)
    • Liquid Strategy Engine (LSE)
    • Proof-of-Weights (PoW2)
    • Governance System
    • Hubic Intelligence Hub (Expanded)
    • Visual System Map
  • Economic Model
    • HUB Token Utility
    • Token Flow Diagram
    • Long-Term Sustainability
    • Optional Enterprise Layer
    • Security & Reputation Systems
    • Future Expansion Points
    • Final Notes
  • Real-World Use Case Example
    • Introduction
    • Problem Statement
    • System Actors
    • End-to-End Flow: DAO Delegation Automation
    • Benefits to DAO Operations
    • Extensions & Advanced Use
  • HUBIC ECONOMIC ENGINE
    • Tokenomics
    • Roadmap
  • LINKS
    • Website
    • Twitter
    • Telegram
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  1. Real-World Use Case Example

Benefits to DAO Operations

PreviousEnd-to-End Flow: DAO Delegation AutomationNextExtensions & Advanced Use

Last updated 4 days ago

Using Hubic, a DAO can automate its validator delegation logic while transforming the process into a verifiable, auditable, and income-generating asset. This creates alignment between operational efficiency, governance transparency, and RWA-based yield.

✅ Operational Advantages

Key Benefits

  • End-to-End Automation: Seamless process from submission to reallocation, eliminating manual intervention and off-chain risks.

  • Proof-Based Execution: Uses zk-proofs to validate decisions, ensuring transparency and trust.

  • Fast Delegation Cycles: Allows frequent restaking based on DAO-specific on-chain settings.

  • Composability: Flexible agents extendable to various modules like treasury, lending, and insurance.

📊 Governance & Transparency

  • DAO members can verify every decision path via smart contract logs and input hashes.

  • Proposals can reference previously proven inference results.

  • Model usage can be scoped to DAO votes — enforcing decentralized control over automation.

💰 Monetization via RWA

  • AI model becomes a yield-generating asset through inference fees.

  • Token holders of the model's RWA receive streamed revenue as long as the model is used.

  • DAOs may sell, license, or govern their own strategy models via RWA tokenization.

Hubic enables DAOs to operate not just more efficiently, but economically — where logic earns, and decisions prove themselves.