FairByDesign Books
Operational AI Readiness
A Practitioner Guide to Governing AI That Is Already Live
By Viktoria Bakos | Published by FairByDesign
You inherited an AI governance problem that is already live. This is your operating manual.
Your organization deployed AI into workflows that affect hiring decisions, payment approvals, customer disputes, security triage, or vendor assessments. The tools work. The policies exist. But nobody can cleanly answer what the system is allowed to do, what changed last week, who reviews consequential outputs, or what happens when something goes wrong at scale.
This book closes that gap. It is not a principles document. It is not a framework summary. It is an operational discipline for making live AI workflows legible, bounded, reviewable, and explainable under ordinary use and under pressure.
Built on NIST AI RMF, the EU AI Act, OWASP Top 10 for LLMs, and current industry research, the guide translates regulatory and framework language into workflow-level controls your team can implement within 30 days.
Two editions. One decision.
The Standard Edition helps you govern one workflow properly. The Premium Edition helps you assess maturity, track remediation, report to leadership, and build a governance system your team can actually run.
Standard Edition
Start governing the workflow in front of you
Available directly on FairByDesign
Twelve chapters. Five real-world scenarios. A complete 30-day readiness sprint. Every implementation artifact you need to govern your first workflow properly.
What you’ll be able to do:
Inventory consequential AI workflows and classify their real decision influence. Build approval gates where impact justifies friction. Create an evidence spine that lets you reconstruct AI-assisted decisions after the fact. Design human oversight that survives contact with real work. Run a 30-day readiness sprint that produces artifacts, not aspirations. Interrogate vendors with a due-diligence bank covering transparency, logging, data handling, incident response, and validation.
Includes five appendices:
Sample policy rules in YAML with explanations. Evidence logging schema with field logic. Human-in-the-loop workflow specification. Vendor due-diligence question bank. Minimal readiness test suite.
Best for: Individual practitioners, security engineers, product managers, compliance leads, internal auditors, and platform architects who need to understand the operational governance problem and solve one workflow properly.
Get the Standard EditionWhich edition is right for you?
One is for governing a workflow. The other is for building the system around it.
| Feature | Standard | Premium |
|---|---|---|
| Core operational governance framework | Yes | Yes |
| Five real-world scenarios | Yes | Yes |
| 30-day readiness sprint | Yes | Yes |
| Appendices and core implementation artifacts | Yes | Yes |
| Privacy by Design chapter | No | Yes |
| Bias metrics and mitigation chapter | No | Yes |
| Continuous compliance monitoring | No | Yes |
| Operational maturity model | No | Yes |
| Stakeholder reporting templates | No | Yes |
| Fully worked case study with evidence traces | No | Yes |
Pick based on the buying context
If you are buying for yourself, using a learning budget, or trying to govern one workflow properly, the Standard Edition is enough.
If you are buying with company money because you need maturity scoring, findings communication, remediation tracking, and repeatable governance reporting, the Premium Edition is the stronger buy.
The Premium does not replace the Standard foundation. It extends it into program-level governance, reporting, and continuous improvement.
Product details
Digital product. Instant access after purchase.
Format: PDF digital download
License: Single purchaser use unless otherwise stated on the product page.
This guide provides general guidance on AI governance and operational readiness. It does not constitute legal advice.
Published by FairByDesign
FairByDesign is a public-interest media and learning platform focused on AI ethics and literacy, cybersecurity, and privacy.