Technology Matters
🛠 Enterprise AI Governance Resource Hub
A curated collection of frameworks, standards, templates, and reading for technology leaders rolling out AI in regulated environments.
Maintained by Adeel Ali — Technology Manager based in Falls Church, Virginia.
💡 About this hub There is no shortage of writing about AI in 2026. There is a serious shortage of practical material on how to govern, evaluate, and deploy it in an enterprise environment with real compliance constraints.
This hub is what I keep open in another tab when I am doing the actual work. I curate it for technology managers in mid-size enterprise environments — especially those in federal-adjacent industries where governance is non-negotiable.
If something is on this list, it has either helped me do the work or it has held up under scrutiny when I tried to apply it. If a resource stops being useful, I remove it.
Last updated: May 2026
🏛 Frameworks & Standards
These are the foundational documents to read before forming opinions on AI governance.
Federal / US Government
NIST AI Risk Management Framework (AI RMF 1.0) — The single most useful framework for structuring an enterprise AI program. Free. →
nist.gov/itl/ai-risk-management-frameworkNIST SP 800-53 Rev. 5 — Security and privacy controls. The bedrock of most US enterprise security postures.
NIST SP 800-171 — For organizations handling Controlled Unclassified Information (CUI). Mandatory if you have any Department of Defense contract exposure.
FedRAMP — If you are evaluating cloud services that touch federal data, every conversation should start here. →
fedramp.gov
International
ISO/IEC 42001 — The AI management systems standard. Newer and worth tracking if your organization already runs an ISO 27001 program.
EU AI Act — Even if you do not operate in the EU, the Act is shaping how American enterprise procurement contracts are written.
OECD AI Principles — High-level but useful for setting an organizational tone.
📋 Templates & Frameworks I Use
Practical scaffolding, free to adapt:
AI Acceptable Use Policy template — Short, plain-language AUP suitable for employee signature
Data Classification Tier Framework — Tiered routing of data classes to model providers
Vendor Evaluation Checklist — Pre-commitment checklist covering data export rights, model substitutability, pricing transparency
Model Output Evaluation Rubric — Lightweight rubric for evaluating AI output quality before workflows depend on it
Audit Logging Schema — Minimum-viable schema for tracking AI tool usage in regulated environments
All templates live in my AI Governance Toolkit repo on GitHub → github.com/adeelali/ai-governance-toolkit
📚 Books Worth Your Time
The handful of books I recommend to every Technology Manager who asks:
| Book | Author | Why |
|---|---|---|
| The Phoenix Project | Gene Kim | Reads like a novel; teaches DevOps and operations without feeling like a textbook |
| Accelerate | Forsgren, Humble, Kim | The research backing The Phoenix Project. Useful for convincing skeptical leadership with data |
| An Elegant Puzzle | Will Larson | Engineering management. Pragmatic, no fluff |
| Staff Engineer | Will Larson | For senior IC career paths; useful for managers who want to understand what their senior people are optimizing for |
| The Manager's Path | Camille Fournier | The standard reference on engineering management progression |
| Team Topologies | Skelton & Pais | How to structure teams in modern software organizations |
✍️ Essays Worth Bookmarking
These have aged well:
Choose Boring Technology by Dan McKinley →
mcfunley.com/choose-boring-technology— Should be required reading for anyone making technology selection decisionsOn Being a Senior Engineer by John Allspaw — A definitional essay on what senior actually means
The Reckoning by Charity Majors — On observability as a first-class concern
🛠 Tools & Categories I Evaluate
Keeping this category-level because specific tools change quarterly:
Cloud cost management — FinOps tooling for understanding actual spend
Compliance automation — Tools that automate evidence collection for SOC 2, ISO 27001, FedRAMP
Security posture management — CSPM and CNAPP tools
AI model governance — Newer category; tools that handle prompt logging, output evaluation, model risk tracking
Vendor management — Tools for SaaS spend visibility and contract lifecycle management
If you want specific recommendations in any category, reach out — they depend heavily on your context.
👤 About Adeel Ali
I am a Technology Manager based in Falls Church, Virginia, working with enterprise IT teams across the Northern Virginia and Fairfax County tech corridor. My work focuses on AI governance, project management, operations management cloud strategy, and pragmatic IT modernization for organizations operating in regulated environments — federal-adjacent contractors, healthcare, finance.
I write at:
Medium / Substack — longer essays on technology leadership
GitHub — templates, frameworks, reference material
Quora — answers on enterprise IT, AI rollouts, vendor management
LinkedIn — professional updates and shorter commentary
Connect:
🌐 Site:
adeelali.github.io💼 LinkedIn:
linkedin.com/in/adeelali💻 GitHub:
github.com/adeelali✍️ Substack:
adeelali.substack.com📩 Email:
aalig#outlook.com