RED BOOT LLC
AI Governance · Risk Mitigation · Organizational Readiness
Your
Organization Is
Deploying AI.
Is It Ready to
Govern It?
The AI Governance Field Manual is the definitive operational resource for executives, compliance leaders, and decision-makers building responsible AI frameworks from the ground up, before regulators, auditors, or incidents force the conversation.
PMP · CSM · CSPO Certified
MS Computer Science
Minority-Owned Firm
Certified Blockchain Expert
The Governance Gap
AI Is Spreading Faster
Than the Frameworks to
Govern It
Most organizations are not adopting AI, they are accumulating it. Across departments, without strategy, without accountability structures, and without documented governance. That gap carries significant risk.
Compliance Risk
AI regulations are accelerating globally, with notable developments including the EU AI Act, NIST AI RMF, and state-level legislation. Organizations without documented governance face mounting exposure with every deployment cycle.
Operational Risk
Unmanaged AI integration creates brittle workflows, unaccountable decision logic, and technical debt that becomes catastrophically expensive to untangle after the fact.
Reputational Risk
A single AI-related incident, bias, hallucination, privacy breach, or model failure, can permanently damage client trust and organizational credibility in highly visible ways.
No Internal Framework
\Without a governance architecture, leadership cannot answer foundational questions: Who owns AI decisions? What is our risk tolerance? How do we audit outcomes? How do we respond when something fails?
Shadow AI Adoption
Employees are already using AI tools, whether sanctioned or not. Without governance policy, organizations have no visibility into what data is being processed, by whom, or under what terms.
Misaligned Investment
Organizations investing in AI capability without governance infrastructure are building on an unstable foundationaccelerating toward outcomes they are not equipped to manage, measure, or defend.
Compliance Risk
AI regulations are accelerating globally, with notable developments including the EU AI Act, NIST AI RMF, and state-level legislation. Organizations without documented governance face mounting exposure with every deployment cycle.
Operational Risk
Unmanaged AI integration creates brittle workflows, unaccountable decision logic, and technical debt that becomes catastrophically expensive to untangle after the fact.
Reputational Risk
A single AI-related incident, bias, hallucination, privacy breach, or model failure, can permanently damage client trust and organizational credibility in highly visible ways.
No Internal Framework
\Without a governance architecture, leadership cannot answer foundational questions: Who owns AI decisions? What is our risk tolerance? How do we audit outcomes? How do we respond when something fails?
Shadow AI Adoption
Employees are already using AI tools, whether sanctioned or not. Without governance policy, organizations have no visibility into what data is being processed, by whom, or under what terms.
Misaligned Investment
Organizations investing in AI capability without governance infrastructure are building on an unstable foundationaccelerating toward outcomes they are not equipped to manage, measure, or defend.
Free Resource
Get the Free AI Governance
Readiness Checklist
A concise, executive-ready checklist to help you assess where your organization stands on AI governance, right now. No purchase required.
5 governance dimensions every organization must address
Quick-score readiness assessment framework
Key questions to ask before your next AI deployment
Red flags that signal immediate governance risk
Send Me the Free Checklist
What You Gain
Governance Clarity.
Strategic Confidence.
Organizational Readiness.
01
Governance Clarity
Replace organizational ambiguity with clear accountability structures. Know exactly who owns AI decisions, who bears risk, and how governance integrates across your existing leadership hierarchy.
02
Implementation Frameworks
Move from strategic intent to operational action with ready-to-deploy governance templates, risk classification tools, policy scaffolding, and implementation sequencing guidance built for real organizations.
03
Executive Decision Support
Equip your leadership team with the vocabulary, frameworks, and decision criteria to evaluate AI investments, manage vendor relationships, and communicate governance posture to boards, auditors, and regulators.
04
AI Readiness Structure
Assess your organization's true AI readiness across people, process, data, and technology dimensions. Build a prioritized governance roadmap aligned to your operational context and risk profile — not a generic best-practice checklist.
Field Manual Contents
Everything Your
Organization Needs to
Start Governing AI Today
CH.01
The AI Governance Imperative
Why governance is now a strategic necessity, not an IT function. The regulatory landscape, executive accountability, and board-level exposure in 2025 and beyond.
CH.02
Organizational Readiness Assessment
A structured diagnostic across five readiness dimensions — with scoring rubrics, gap analysis templates, and prioritization frameworks.
CH.03
Building Your AI Governance Architecture
Governance committee structures, role definitions, decision rights matrices, and escalation pathways designed for enterprise implementation.
CH.04
Risk Classification & Policy Design
A tiered AI risk taxonomy aligned with NIST AI RMF and EU AI Act categories. Includes policy templates, acceptable use frameworks, and review protocols.
CH.05
AI Procurement & Vendor Governance
What to require from AI vendors before signing. Due diligence checklists, contractual safeguards, and ongoing performance monitoring frameworks.
CH.06
Incident Response & Ongoing Oversight
Escalation protocols, incident classification frameworks, post-mortem structures, and continuous monitoring practices for sustained governance.
AI Governance Field Manual — Red Boot LLC
From Risk Exposure
to Governance Confidence
6
Core Modules
40+
Frameworks
12+
Templates
Risk classification rubrics & scoring tools
Governance policy templates (ready to adapt)
Vendor due diligence checklists
Organizational readiness scorecard
Executive briefing frameworks
NIST AI RMF alignment guide
EU AI Act readiness overview
Incident response playbook
About the Author
Jonathan Mickles
Strategic AI Governance Consultant · Founder, Red Boot LLC
Jonathan Mickles is a certified technology strategist and AI governance consultant with deep expertise at the intersection of emerging technology, organizational leadership, and operational risk. With a Master of Science in Computer Science and a professional background spanning program management, product ownership, agile delivery, and blockchain architecture, Jonathan brings a rare combination of technical depth and executive fluency to the governance challenge.
Red Boot LLC was founded on a straightforward premise: the organizations that will lead in the AI era are not necessarily those with the most sophisticated models, they are those with the most responsible, transparent, and well-governed implementations. Jonathan partners with executives, compliance teams, and operational leaders to build the internal infrastructure that makes AI adoption defensible, sustainable, and genuinely transformative.
PMP — Project Management Professional
CSM — Certified ScrumMaster
CSPO — Certified Scrum Product Owner
Certified Blockchain Expert
MS Computer Science
"Coming in on a strong recommendation, the session was clearly worth it — the chance to get strategic and technical insight on my project from someone who genuinely knows this space was more than worth it."
Founder
PropTech / Real Estate AI
Common Questions
Frequently Asked Questions
Senior program and project managers, transformation and operations leaders, and security, risk, and governance professionals. It's built for leaders facing AI adoption without clear ownership or governance — those who want orientation before acceleration, not beginners looking for tutorials.
Yes. AI governance isn't an IT problem or a legal problem — it's an organizational accountability problem that crosses both. The manual helps you define who owns AI decisions, what to govern, and what not to automate, even with technical and legal teams already in place.
It's framework-aligned, not framework-dependent. The manual translates NIST AI RMF principles and EU AI Act readiness into operational steps you can apply directly, without needing to be a compliance specialist.
It's written for leaders, not engineers. No code, no model optimization. It's an operational orientation to AI as a governance challenge — readable and actionable for executives, directors, and program leaders.
The Field Manual is a self-directed resource. The Diagnostic Session is a focused 90-minute working session where we assess your organization's current governance posture, identify critical gaps, and build a prioritized action plan tailored to your context and risk profile.
Ongoing advisory for organizations building or maturing their AI governance infrastructure — policy development, vendor oversight, board reporting, framework alignment, and continuous strategic counsel. Scope is customized after the diagnostic.
Because the Field Manual is delivered as an immediate digital download, all sales are final. If you have questions before purchasing, contact contact@redbootllc.com and I'll help you decide if it's the right fit.
Take the First Step
Your Organization's AI
Governance Posture
Starts With One
Decision
The AI Governance Field Manual is the most practical, executive-ready resource available for organizations that are serious about responsible AI adoption. Get clarity, structure, and confidence starting today.
Immediate digital access · Frameworks, templates & implementation guidance included
Questions? Contact us at contact@redbootllc.com
RED BOOT LLC
AI Governance Consulting · Strategic Risk Mitigation
© 2025 Red Boot LLC. All rights reserved.
MINORITY OWNED BUSINESS
Jonathan Mickles, PMP, CSM, CSPO
MS Computer Science · Certified Blockchain Expert