Implementation Guides

The implementation guides we're writing, and what each will cover. None is published yet. The policy template outlines and the assessment tools are available today.

Getting Started with AI Governance

A comprehensive introduction to establishing AI governance in your organization. Covers foundational concepts, stakeholder alignment, and first steps.

BeginnerPlanned · 15 min read

Topics Covered:

What is AI governance and why it matters
Common AI risks organizations face
Building the business case for governance
Identifying key stakeholders and champions
Setting up your AI governance committee
Defining your AI governance roadmap
Not yet published

Conducting an AI Audit

Step-by-step guide to performing a thorough AI audit of your organization, from discovery through reporting and remediation.

IntermediatePlanned · 20 min read

Topics Covered:

Planning and scoping your AI audit
AI inventory and discovery techniques
Risk assessment methodology
Evaluating compliance with frameworks
Documenting findings and gaps
Creating remediation plans
Reporting to leadership
Not yet published

Managing Shadow AI

Strategies for identifying, assessing, and managing unauthorized AI tool usage across your organization without stifling innovation.

IntermediatePlanned · 12 min read

Topics Covered:

Understanding the scope of shadow AI
Detection methods and tools
Assessing risk of unauthorized AI use
Creating an AI tool approval process
Balancing governance with innovation
Communication and training strategies
Not yet published

Building an AI Risk Register

Practical guide to creating and maintaining a comprehensive AI risk register that supports ongoing risk management.

IntermediatePlanned · 18 min read

Topics Covered:

Risk identification frameworks
Categorizing AI risks (security, bias, privacy, etc.)
Likelihood and impact assessment
Mapping existing controls
Gap analysis and prioritization
Ongoing monitoring and updates
Not yet published

AI Compliance: NIST AI RMF Guide

Detailed walkthrough of implementing the NIST AI Risk Management Framework, with practical examples and mapping to your existing controls.

AdvancedPlanned · 25 min read

Topics Covered:

Overview of NIST AI RMF structure
Govern function: Policies and accountability
Map function: Context and risk framing
Measure function: Analysis and metrics
Manage function: Risk response and monitoring
Implementation roadmap and timeline
Mapping to ISO 42001 and EU AI Act
Not yet published

Prompt Engineering for Enterprise

Best practices for managing prompts at scale, including version control, testing, security, and governance considerations.

IntermediatePlanned · 14 min read

Topics Covered:

Prompt design principles for enterprises
Version control and prompt libraries
Testing and validation frameworks
Preventing prompt injection attacks
Monitoring prompt performance
Prompt governance policies
Not yet published

Executive Guide: AI ROI and Risk

A guide designed for C-suite executives on balancing AI investment returns with responsible risk management.

BeginnerPlanned · 10 min read

Topics Covered:

Quantifying AI ROI beyond efficiency gains
Understanding AI risk at the board level
Key metrics for AI governance reporting
Building a culture of responsible AI
Budget allocation for AI governance
Peer benchmarking and industry trends
Not yet published

Start With What's Live

While the guides are being written, the interactive assessment tools will measure where you stand and show which of these topics to tackle first.