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The regulator doesn't care that your model performed well in testing

Compliance-Native
Architecture

If you cannot produce an immutable audit trail of every agent decision, you are non-compliant. We engineer compliance into the middleware — not as a checkbox, but as a structural constraint every agent must satisfy before acting.

SR 11-7 EU AI Act SEC Rule 17a-4 ECOA / FCRA OCC MRM HIPAA

Core Pattern

The Compliance Proxy Pattern

Every agent action — without exception — passes through a mandatory middleware layer before execution. This layer is the policy enforcement point for your entire AI estate.

AGENT
Requests action
OPA POLICY CHECK
Allow / Deny / Escalate
AUDIT LOG
SHA-256 hash chain
EXECUTION
Approved & recorded

Immutable Audit Trails

We deploy ClickHouse with OpenTelemetry instrumentation and SHA-256 hash chains to create a tamper-evident linked list of every LLM inference, tool call, and decision output. Fully compliant with SEC Rule 17a-4 WORM storage requirements.

{
  "event_id": "evt_7k2m9x",
  "timestamp": "2026-05-09T14:51:00Z",
  "agent": "loan_decision_v3",
  "action": "credit_assessment",
  "input_hash": "sha256:a7f3...",
  "output_hash": "sha256:b2c1...",
  "prev_hash": "sha256:9de4...",
  "policy_check": "PASSED",
  "approver": "OPA_v2.1"
}
SEC 17a-4 SR 11-7

Automated Explainability

We engineer structured Chain-of-Thought outputs and SHAP feature attributions that map directly to ECOA/FCRA enumerated reason codes. Every adverse action notice is automatically populated with regulator-approved explanations.

Debt-to-income ratio −32pts ████░░░░
Payment history (24mo) −18pts ██░░░░░░
Credit utilization −9pts █░░░░░░░
ECOA FCRA EU AI Act Art.13

OPA Policy Enforcement

Open Policy Agent rules encode your compliance requirements as machine-readable, version-controlled code. When regulations change, you update the policy file — not the model, not the agent, not the infrastructure. Policy changes deploy in seconds with full rollback capability.

deny[reason] {
  action := input.agent.requested_action
  action == "send_adverse_notice"
  not input.context.ecoa_codes_present
  reason := "ECOA reason codes required"
}

Human-in-the-Loop Gates

High-risk decisions are automatically escalated to human reviewers with configurable confidence thresholds, dollar-amount triggers, and regulatory category flags. No agent can autonomously cross a defined risk boundary without human approval and a documented override reason.

Loan decisions > $500K → mandatory human review
Confidence score < 0.85 → escalation required
High-risk AI Act categories → HITL mandatory

Regulatory Coverage Matrix

FRAMEWORK JURISDICTION COVERAGE STATUS
SR 11-7 / OCC MRM US (Federal Reserve / OCC) Model cards, validation, audit trails COVERED
EU AI Act European Union Risk classification, transparency, HITL COVERED
SEC Rule 17a-4 US (Securities) WORM storage, immutable records COVERED
ECOA / FCRA US (Consumer Finance) Adverse action reason codes COVERED
HIPAA US (Healthcare) PHI handling, minimum necessary rule COVERED

Are Your Agents Examination-Ready?

Most aren't. Our Regulatory MRM Gap Assessment simulates an actual OCC or EU AI Act examination — and produces the remediation roadmap to survive it.

Book Your Compliance Assessment →