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.
One deterministic enforcement engine — AI proposes, HELM decides, every decision signed and chained — applied wherever a regulated decision is too consequential to leave to a black box. The same architecture, proven across markets. Banking, insurance, and healthcare are live today.
Mortgage, consumer & small-business credit for community banks and credit unions. Fair-lending (ECOA / Reg B), adverse-action sufficiency, and ability-to-repay enforced before a denial reaches a borrower.
Claim triage and denial held to authority, policy, evidence, customer-harm, and regulatory checks before a letter reaches a policyholder. Five personas, one deterministic decision.
Prior authorization and coverage decisions for health plans. A licensed clinician — never the algorithm — owns every denial (CA SB 1120 / CMS-4201-F), with specific clinical rationale and appeal rights before a notice reaches a patient.
The line generalizes. The same engine governs AI code review, vendor onboarding, refunds, and any high-blast-radius AI workflow — not just regulated verticals. See all use cases ↓
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.
An AI underwriting assistant proposes deny + send adverse-action notice + close file on a purchase mortgage — on a DTI that discounts income Reg B requires counting. HELM evaluates six checks (fair-lending / adverse-action / authority / documentation / ability-to-repay / sacred-line) and intervenes before it reaches the borrower. Switch personas (CEO / CRO / Fair Lending Officer / Underwriter / Examiner) to see the same decision from each role. Built to be examined.
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.
The platform expands
The enforcement engine is built and governing decisions today. Next on the roadmap: healthcare care-decision governance, auto and small-business lending, and additional high-blast-radius workflows — marketing-claim approval, refunds, vendor onboarding — each a new regulatory map on the same proven architecture. Early customers shape what ships next.
