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AI Program Management Guide

AI Program Management Guide

The step-by-step framework for running AI programs safely and compliantly

From discovery to monitoring — built for project managers and program leaders

6 Layers
Governance Architecture
35 Pages
Implementation Guide
6 Templates
Ready-to-Use Tools
48 Hours
Quick Start Guide
AI Program Management Framework

What's Inside the Framework

Practical quick-start guides, industry-specific playbooks, and downloadable templates to get started in 48 hours

48-Hour Quick Start

Get immediate value with our hour-by-hour implementation guide. Start with discovery, move to risk classification, and implement basic controls in just 2 days.

  • Hour 1-4: AI System Discovery
  • Hour 5-8: Risk Classification
  • Hour 9-24: Quick Win Controls
  • Hour 25-48: Monitoring Setup

Industry-Specific Guides

Tailored implementation paths for your industry with specific compliance requirements and code examples.

  • Healthcare (HIPAA + BAAs)
  • Financial Services (SOC 2 + GDPR)
  • SaaS Companies (Customer Trust)
  • Startups (Minimum Viable Governance)

Ready-to-Use Templates

Download checklists, email templates, and playbooks that you can use immediately - no customization needed.

  • AI System Inventory Spreadsheet
  • Risk Assessment Calculator
  • Incident Response Playbook
  • Executive Dashboard Templates

Common Pitfalls & How to Avoid Them

Learn from others' mistakes. We've documented the 5 most common governance failures and exactly how to prevent them.

❌ "We'll add governance later" → ✅ Build it in from day one
❌ "Just using OpenAI API" → ✅ Still need vendor due diligence
❌ "Internal use only" → ✅ Apply same risk assessment
❌ "AI to govern AI" → ✅ Use deterministic controls

Complete Framework Overview

Stages 1-3: Foundation

Scope, System Mapping, and Measurement

  • Scope Alignment: Define AI system boundaries, risk tiers, and regulatory applicability
  • System Mapping: Document data flows, model architecture, and integration points
  • Measurement: Establish baseline metrics, KPIs, and performance thresholds

Stages 4-6: Operations

Controls, Monitoring, and Continuous Improvement

  • Controls: Implement deterministic guardrails, validation gates, and kill switches
  • Monitoring: Behavioral drift detection, anomaly alerts, and audit logging
  • Continuous Improvement: Feedback loops, model retraining protocols, and version control

Why CSM6?

Deterministic by Design
Same inputs always produce same outputs - no probabilistic compliance
Framework Agnostic
Maps to NIST AI RMF, ISO 42001, EU AI Act, and Colorado AI Act
Audit-Grade Evidence
Cryptographic proof and immutable logging for regulatory defense

Download the AI Program Management Guide

Get instant access to 35 pages of implementation guidance, templates, and industry-specific playbooks.

48-Hour Quick Start
6 Templates
Industry Guides
Code Examples

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Ready to Run Your AI Program?

The framework is free. HAIEC automates it. Start with the checklist or see how HAIEC brings CSM6 to life.