Most AI governance products bolt policies on top of model outputs. KAiM moves the line. AI proposes. Deterministic evaluators enforce. Every decision logged with provenance. Every refusal structurally guaranteed.
Six operating layers. Five sacred lines. Four Helm products. One operating method we use on ourselves.
AI proposes, deterministic evaluators enforce. The line is not crossed.
AI agent proposes deny + send letter + close case on a single claim. HELM evaluates six checks (authority / policy / evidence / customer harm / regulatory / sacred-line) and returns a mixed outcome. No action reaches the customer. Switch personas (CEO / CISO / Legal / Operator / Auditor) to see the same decision from each role.
An AI coding agent opens a PR introducing a known-CVE dependency without human review. HELM's merge gate evaluates four checks (AI-origin, dependency risk, attestation, coverage) and blocks the merge with remediation. CI integration pattern your engineering org will recognize.
Exercisable governance surface. Five operating views, five-tier authority ladder, persona switching, signed evidence chain. Sign in to see the architecture working on a real (or demo) agent fleet.
The four cells — Lexicographer, Atelier, Codex, Forensics — and how they compose into Helm products. Architectural read; suitable for technical evaluators sizing the surface area.
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The full narrative site is queued — audit-first problem dossier, six-layer operating-model explorer, four-cell product pages, multi-AI collaboration chronology, additional flagship use cases (AI code governance, marketing claim approval, customer refund, vendor onboarding). Sequenced per kaim/Communications use-case test pack.
