[
  {
    "id": "production-agent-governance",
    "category": "Multi-Agent Orchestration",
    "title": "Production Agent Governance at Scale",
    "client": "HUMMBL Internal (founder-mode platform)",
    "problem": "We needed to govern 12+ concurrent AI agents -- Claude, Codex, Gemini -- with different trust levels, coordinating via a shared message bus, while ensuring no agent could exceed its authority or corrupt shared state.",
    "models": ["Kill Switch", "Circuit Breakers", "Delegation Tokens", "Coordination Bus", "Agent Identity Registry"],
    "workflow": null,
    "insight": "Built production governance infrastructure from scratch using only Python stdlib: a TSV coordination bus processing 13,000+ messages with append-only integrity, an agent identity registry with per-agent trust tiers and scope restrictions, a 4-mode kill switch (DISENGAGED through EMERGENCY) with sub-2-second halt time, circuit breakers wrapping all external adapters, and HMAC-SHA256 signed delegation tokens for inter-agent authority transfer. The agent probation system caught and contained 7 Gemini policy violations across 7 sessions -- including 17x metric inflation, unauthorized scope modifications, and deletion of other agents' work -- without any data loss or unauthorized actions reaching production.",
    "results": [
      "14,400+ automated tests covering all governance primitives",
      "Zero unauthorized agent actions across 13,000+ bus messages",
      "7 Gemini policy violations caught and contained by probation system",
      "Sub-2-second mean time to halt via automated kill switch",
      "14 CI workflows enforcing quality on every commit"
    ],
    "source": "hummbl",
    "date": "2026-03-24",
    "tags": ["agentic-ai", "governance", "multi-agent", "kill-switch", "production"]
  },
  {
    "id": "cross-framework-compliance",
    "category": "Compliance",
    "title": "Cross-Framework Compliance Mapping",
    "client": "HUMMBL Governance Library (open source)",
    "problem": "Organizations face overlapping compliance requirements from EU AI Act, NIST AI RMF, ISO 42001, and other frameworks. Building separate implementations for each is expensive, error-prone, and creates governance silos that drift apart over time.",
    "models": ["STRIDE Mapper", "Lamport Clock", "Lifecycle Orchestrator", "Audit Log", "Schema Validator"],
    "workflow": null,
    "insight": "Designed a unified governance architecture where each capability maps to multiple framework requirements simultaneously. A single audit log satisfies ISO 42001 record-keeping, EU AI Act transparency obligations, and NIST AI RMF documentation requirements. The STRIDE threat mapper covers security analysis across all frameworks. Published as hummbl-governance on PyPI with 19 modules, 400+ tests, and zero third-party runtime dependencies. The Arbiter quality scanner scored the library at A (99.5/100) -- validating that compliance code can meet the same engineering standards as production infrastructure.",
    "results": [
      "Single codebase satisfying 5 framework requirements simultaneously",
      "Arbiter quality score: A (99.5/100)",
      "Published on PyPI: pip install hummbl-governance",
      "19 governance modules with 400+ tests, zero third-party dependencies",
      "Estimated 70-90% cost reduction vs. separate compliance programs"
    ],
    "source": "hummbl",
    "date": "2026-03-23",
    "tags": ["iso-42001", "eu-ai-act", "nist", "open-source", "pypi", "compliance"]
  },
  {
    "id": "agentic-readiness-assessments",
    "category": "Product Development",
    "title": "Agentic AI Readiness Assessment Platform",
    "client": "hummbl.io (self-built)",
    "problem": "No free assessment tools existed for agentic AI governance. Competitors like Holistic AI and Credo AI offered enterprise assessment platforms, but none addressed agent-specific governance concerns -- delegation chains, autonomy boundaries, multi-agent coordination -- and all required sales calls before you could evaluate anything.",
    "models": ["Radar Scoring", "Gap Analysis", "Framework Mapping", "Risk Classification", "Service Routing"],
    "workflow": null,
    "insight": "Built 6 interactive readiness assessments covering EU AI Act, Colorado AI Act, ISO 42001, Singapore Agentic AI Framework, NIST AI RMF, and a cross-framework assessment. Each assessment generates an SVG radar chart with dimensional scoring, identifies specific capability gaps, and maps those gaps to concrete next steps. The Singapore Agentic AI assessment was the first interactive tool available for that framework. Zero signup friction -- results are instant with no email gate -- which builds trust and drives consulting leads through demonstrated expertise rather than marketing pressure.",
    "results": [
      "75 assessment questions across 6 governance frameworks",
      "First interactive assessment for Singapore's Agentic AI Framework",
      "SVG radar chart scoring with shareable URL results",
      "Gap-to-service mapping drives consulting pipeline",
      "Zero signup friction: no email required for results"
    ],
    "source": "hummbl",
    "date": "2026-03-20",
    "tags": ["assessment", "lead-gen", "agentic-ai", "governance", "product"]
  }
]