Developer Guide — Automation Runbooks for DLA (Phase 0 — Extremely High-Level)

Document Version: 1.0 Date: August 8, 2025 Author: CrownThrive, LLC — [email protected] Project: CHLOM™ — Compliance Hybrid Licensing & Ownership Model

1. Objective

Provide an extremely high-level automation framework for recurring jobs, enforcement triggers, and operational procedures that maintain license integrity and compliance enforcement for the Decentralized Licensing Authority (DLA) under the TLAAS protocol.

2. Automation Goals

• Continuous Compliance Monitoring — Detect violations in real time.
• Scheduled Renewals & Audits — Automate periodic license renewals and rule checks.
• Incident Escalation — Auto-trigger governance proposals for severe breaches.
• Multi-Jurisdictional Adaptation — Adjust enforcement rules dynamically per region.
• Ledger Synchronization — Maintain immutable, up-to-date records.

3. Core Automated Jobs

• License Expiry Scan — Identifies licenses nearing expiration and sends renewal prompts.
• Compliance Violation Sweep — Runs AI-driven checks against current license actions.
• Jurisdiction Rule Refresh — Pulls updated laws/regulations from oracles.
• High-Risk Flagging — Auto-flags licenses with elevated risk scores for human/DAO review.
• Ledger Integrity Check — Validates on-chain license and compliance records for tampering.

4. Trigger Types

• Event-Driven: Real-time triggers from smart contracts (e.g., transaction events, compliance flag).
• Time-Based: Cron-like schedules for renewals, audits, and data sync.
• Threshold-Based: Risk scores, transaction volumes, or suspicious activity exceeding defined limits.

5. Example Automation Flow

[Daily License Expiry Job] → Fetch Active Licenses → Check Expiry Dates → Send Renewal Notices → Auto-Renew If Payment Confirmed → Log to Ledger

6. Example Pseudocode for a Compliance Sweep

async function complianceSweep() {
  const activeLicenses = await getActiveLicenses();
  for (let lic of activeLicenses) {
    const riskScore = await ComplianceAI.getRiskScore(lic.id);
    if (riskScore > RISK_THRESHOLD) {
      await flagForReview(lic.id);
      await logToLedger(lic.id, "Flagged for compliance review");
    }
  }
}

7. Security Considerations for Developers

• Ensure automation scripts are idempotent (safe to rerun without side effects).
• Validate all external data sources via oracles before acting.
• Implement multi-sig or DAO approval for irreversible automated actions.
• Monitor automation execution logs for anomalies.

8. Phase Roadmap for Development

• Phase 0 — Define automation jobs, triggers, and operational logic.
• Phase 1 — Implement base scripts and connect to DLA API.
• Phase 2 — Integrate Compliance AI and jurisdiction rule engine.
• Phase 3 — Test automation under high-load simulations.
• Phase 4 — Deploy automation with full DAO oversight.
• Phase 5 — Expand to multi-chain automation orchestration.

Next Developer Task: Proceed to Testing & Deployment Procedures for DLA (Phase 0) — outline QA strategy, staging environments, CI/CD pipelines, and rollback plans for the DLA ecosystem.