# On Trust and AI: A Blueprint for Confidence in the Intelligent Enterprise

**By Alexander Feick**

## Description

AI is moving into core business processes faster than most organizations can govern it. Leaders are being asked to trust systems that behave intelligently but fail unpredictably — models making opaque decisions, tools granted silent privileges, and automated workflows drifting out of alignment long before anyone notices.

*On Trust and AI* explains why these failures happen, how attackers exploit the gaps, and what it takes to build AI that remains observable and controllable at enterprise scale. This is not a book about hype or distant futures — it's a field guide drawn from real operational environments where AI is already embedded in critical systems.

For executives responsible for steering AI adoption, the message is direct: trust must be engineered. The book offers a practical path to deploy AI confidently, maintain oversight as systems evolve, and integrate automation in ways that strengthen human judgment instead of eroding it.

## Key Themes

- **Trust as Engineering** — Moving trust off individual AI models into observable, verifiable systems
- **Governance Frameworks** — Practical approaches that work in real enterprise environments
- **Human-AI Collaboration** — Workflows where AI enhances rather than replaces human judgment
- **Failure Modes** — Recognizing and preventing common pitfalls before they become costly

## Purchase

- [Buy direct from author](https://feick.ca/book) (Digital CA$9.99 / Print CA$29.99 / Bundle CA$30.00)
- [Amazon Kindle](https://www.amazon.com/dp/B0GHZQ8V92)
- [Google Play Books](https://play.google.com/store/books/details?id=W8m2EQAAQBAJ)
- [Kobo](https://www.kobo.com/ca/en/ebook/on-trust-and-ai)
- [Read online](https://feick.ca/read)

## Companion Resources

- [AI Advisor](/advisor) — Chat with an AI trained on the complete text of the book
- [Governance Crosswalks](/crosswalk-viewer) — Map book concepts to NIST AI RMF and EU AI Act governance frameworks