Your AI systems are making decisions.
Can you prove they're governed?
Companies deploying AI face accelerating regulatory pressure — EU AI Act,
NIST AI RMF, ISO 42001, and a wave of state-level AI laws. Most governance
is still checkbox compliance that does not survive contact with production
agents.
HUMMBL builds the infrastructure that makes governance operationally real.
Not policy PDFs. Runtime systems with append-only audit trails, signed
delegation, kill switches, and circuit breakers — wired into the agents
and adapters that actually touch your data.
What we do
Assess
Governance maturity scoring against NIST AI RMF and ISO 42001. Map
gaps between written policy and runtime reality. Six interactive
readiness assessments — free, instant, no email gate.
Implement
Runtime governance modules: append-only audit trails, HMAC-signed
delegation tokens, 4-mode kill switches, per-adapter circuit
breakers. Stdlib-only Python — zero third-party runtime deps.
Certify
Adapter certification for third-party AI tools entering your stack.
Verify vendor AI systems meet your governance requirements
before they reach production data.
Why most governance frameworks fail
Mandating governance into organizations where people don't trust the
system produces compliance theater — checkboxes filled,
behaviors unchanged. HUMMBL is built on the inverse premise: trust
infrastructure first, governance second. Transparency, receipts, and
structural conditions for adoption — so the controls actually land.
Governance that ships, not governance that's imposed.
Proof points (verified, today)
Framework Coverage
NIST AI RMF
ISO 42001
EU AI Act
NIST CSF 2.0
SOC 2
Colorado SB 24-205
Singapore IMDA
Governance Modules — what runs in production
Coordination Bus
Append-only TSV log for multi-agent coordination. 70,000+ messages processed with zero data loss; every agent action receipted.
Kill Switch (4 modes)
DISENGAGED → HALT_NONCRITICAL → HALT_ALL → EMERGENCY. Sub-2-second mean halt time. Operator-controlled, audit-logged.
Circuit Breakers
Per-adapter CLOSED / HALF_OPEN / OPEN states. Failure-isolation for every external service the agent talks to.
Delegation Tokens
HMAC-SHA256 signed authority transfer between agents. Append-only governance bus records every delegation.
Adapter Receipts
Every adapter call returns a receipt — agent, target, payload hash, status, latency. Governance proof per call.
Agent Identity Registry
Trust-tiered identity per agent (owner / trusted / probationary). Scope restrictions enforced at write paths.
Readiness Assessments
Six interactive assessments: EU AI Act, Colorado AI Act, ISO 42001, Singapore Agentic AI, NIST AI RMF, cross-framework.
Base120 Reasoning
120 mental-model operators across 6 families (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems).
Production case studies
Production Agent Governance at Scale
Governing 12+ concurrent AI agents (Claude, Codex, Gemini) across trust tiers via shared message bus. 70,000+ messages, zero unauthorized actions, 7 policy violations caught and contained.
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Cross-Framework Compliance Mapping
Single governance codebase satisfying ISO 42001, EU AI Act, and NIST AI RMF simultaneously. Arbiter quality score: A (99.5/100). Estimated 70-90% cost reduction vs. separate compliance programs.
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Agentic AI Readiness Assessment Platform
Six interactive assessments built and shipped — first interactive tool for the Singapore Agentic AI Framework. Zero signup friction, instant SVG radar reports, drives consulting via demonstrated expertise.
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Engagement model
Three entry points: (1) Free assessment — radar score, gap map, framework crosswalk in 15 minutes;
(2) Implementation engagement — wire kill switch, circuit breakers, audit trail into your existing AI stack;
(3) Certification — review and sign off on a third-party AI tool before it touches production data.
Solo-founder pricing; outcomes referenceable on hummbl.io/case-studies.
HUMMBL