Implementation-Ready Templates

Policy Library

Evidence-first templates for AI governance. Not aspirational guidelines—actual implementation documents used in regulated environments.

Policy Collections

Each policy template includes implementation guidance, monitoring procedures, and audit requirements. These are not theoretical frameworks—they are working documents refined through real-world deployment.

Behavioral Monitoring Policies

Templates for establishing behavioral baselines, tracking drift, and conducting consistency sweeps across production AI systems.

Includes: 8 policy templates, monitoring checklists, audit procedures

CSM6 Implementation Guides

Layer-by-layer implementation documents for deploying the full CSM6 framework in enterprise environments.

Includes: 6 layer guides, evaluation templates, reporting formats

Regulatory Compliance Templates

Documentation templates for EU AI Act, GDPR, CCPA, and sector-specific requirements with behavioral evidence integration.

Includes: 12 compliance templates, evidence packs, audit responses

Incident Response Playbooks

Step-by-step procedures for investigating AI failures, reconstructing behavioral chains, and documenting root causes.

Includes: 5 playbooks, investigation checklists, reporting templates

Vendor Assessment Frameworks

Evaluation criteria for assessing AI vendors on behavioral governance, drift detection capabilities, and audit readiness.

Includes: Assessment rubrics, questionnaires, scoring guides

Multi-Agent Governance

Policies for managing systems with multiple AI components, including coordination testing and emergent behavior monitoring.

Includes: 4 policy templates, testing protocols, monitoring frameworks

Philosophy

HAIEC policies start from a simple premise: behavior is the only ground truth. Documentation describes intent, but actual system behavior determines outcomes, risks, and compliance status.

Evidence-First, Not Checklist-Driven

Standard policies ask whether you have documentation, whether you conducted testing, whether you have oversight processes. HAIEC policies ask: Can you show behavioral evidence? Can you reconstruct decisions? Can you detect drift?

Measurable, Not Aspirational

Every policy requirement maps to specific measurements, test procedures, or monitoring metrics. If a requirement can't be measured, it doesn't appear in our templates.

Continuous, Not Point-in-Time

AI systems change over time. HAIEC policies assume continuous behavioral monitoring, not annual audits. They include procedures for ongoing drift detection and real-time anomaly identification.

Causal, Not Correlational

When issues arise, these policies require reconstructing the causal chain. Understanding why something happened is as important as knowing that it happened.

Featured Starting Templates

Behavioral Baseline Establishment Policy

Most Popular

Comprehensive procedure for establishing behavioral fingerprints before deployment, including consistency testing, instruction sensitivity evaluation, and contextual stability assessment.

24 pages • Implementation guide included

Drift Detection & Response Protocol

Essential

Step-by-step framework for continuous behavioral monitoring, automated drift alerts, and escalation procedures when systems deviate from baseline behavior.

18 pages • Monitoring checklist included

AI Incident Investigation Playbook

Recommended

Complete investigation methodology for when AI systems fail, including behavioral reconstruction techniques, root cause analysis, and regulatory reporting.

32 pages • Case study examples included
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Policy Templates
12
Audit Frameworks
6
Compliance Guides

Custom Policy Development

Need policies tailored to your specific regulatory environment, tech stack, or risk profile? HAIEC can develop custom governance frameworks based on your requirements and operational constraints.

Download the Full Policy Library

Get access to all policy templates, implementation guides, and compliance frameworks. Updated quarterly with new regulations and best practices.