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What Your AI Cannot Prove

Governing AI in Regulated Industries

This book is 100% completeLast updated on 2026-07-30

Your pilot went well. That was never the question. In a regulated industry, an AI system is acceptable only when it can prove what it did: which source it used, what stopped it acting, why it decided as it did eleven months ago. A field guide for the executives who have to sign.

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About

About

About the Book

The KnowlytiX Executive Companion

Written for the boards, executives, and risk and compliance leaders who decide whether an artificial-intelligence system is built, approved and defended. It is the business counterpart to the KnowlytiX AI Engineering Series which remains the authoritative technical reference for the architecture described here.

The Technical Volumes

The methods this book translates originate in the KnowlytiX AI Engineering Series by Agus Sudjianto and Wing Yan Lau. Readers who want the engineering beneath any argument here should turn to them.

Beyond “Chunk and Pray”: Building Trustworthy RAG with Geometric Knowledge Graphs

leanpub.com/beyondchunkandpray

Beyond “Prompt and Pray”: Building Governed Agentic Systems with Geometric Memory and Verification

Beyond “Ship and Pray”: Testing Agentic Systems with Geometric Ground Truth

The mathematical prequel to the series, by Agus Sudjianto and Wing Yan Lau:

Knowledge Graph Embedding as Geometric Operators: A Mathematical Foundation for

Trustworthy Agentic AI

A Note on the Examples. This book carries one running example: a governed complaint-handling assistant at a retail bank. The technical volumes build and test that same system, and this book picks it up at the decision to approve it rather thanthe decision to build it. Where a scenario is composite or illustrative rather than reported, it says so. Regulatory positions are stated as of mid-2026 and should be rechecked before they are relied on. Nothing in this book constitutes legal, regulatory or investment advice.

Author

About the Author

KnowlytiX

Al Nugroho

Al Nugroho has spent more than twenty years on the side of the table that asks for evidence.

He is Chief Operating Officer and co-founder of Modeva.ai and KnowlytiX, where he leads product strategy for enterprise platforms in trustworthy AI, agentic AI, model validation, and AI governance, built for institutions that have to defend what their systems do. He advises banks on AI governance operating models and on folding AI oversight into the model risk functions they already run.

Before that came two decades inside large financial institutions, mostly in second-line roles whose job was independent challenge. He was a Senior Vice President and Business Accountability Director at Wells Fargo, Head of Regulatory Risk at Banc of America Merchant Services, and held leadership roles in model risk, credit risk analytics, operational risk, and global compliance across thirteen years at Bank of America.

The through-line is the meeting this book is about. Someone presents a system. Someone else has to decide whether the institution could defend it later.

He is a Certified Regulatory Compliance Manager and holds an MBA in finance from the University of Colorado Boulder. He lives in Charlotte, North Carolina.

Contents

Table of Contents

  • Chapter One
  • Chapter Two
  • Chapter Three

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