WORKING MANUSCRIPT · AUGUST 2026 SNAPSHOT

A practical book for leaders deciding where AI belongs.

From Possibility to Pilot is a plain-language guide to what Generative AI can do, what it cannot do yet, and how business leaders can start safely.

For business owners and functional leaders who want useful AI, not a louder demo.

FIELD NOTE 01 / THE FIRST PILOT
01Business outcome
02AI-fit task
03Guardrails & measures
04Controlled pilot
Start with the work that matters. Then make the experiment small enough to learn from.

01 — THE BOOK

A field guide for the part that comes after the demo.

Most conversations about AI begin with possibility. This book stays with the harder, more useful questions: where a capability fits, what it needs to work, and who remains accountable when it does not.

THE WORKING BRIEF

From Possibility to Pilot

What Generative AI Can Do, What It Cannot Do Yet, and How Business Leaders Can Start Safely

Length
35,000–45,000 words
Manuscript
Target: end of August 2026
Practice
Singapore · Vietnam · global

READERS WILL LEARN TO

  • 01Find useful AI opportunities
  • 02Separate real value from impressive demos
  • 03Reject unsuitable or risky use cases
  • 04Design a safe first pilot
  • 05Set review, accountability, and measurement practices

02 — TABLE OF CONTENTS

From possibility to a decision you can defend.

Four parts, thirteen chapters, and a set of decision tools for moving from “What could AI do?” to “What should we do next?”

Read early and shape the book

Every chapter opens with a real case, then turns the lesson into a practical capability map and a decision tool.

PART I

See Clearly

Understand how Generative AI behaves before making an adoption decision.

  1. 01

    The Decision Is Not ‘Should We Use AI?’

    Decision tool: AI Decision Brief

  2. 02

    A Model Is a Probabilistic Collaborator

    Decision tool: Trust-Boundary Worksheet

  3. 03

    The Capability Map

    Decision tool: Capability–Risk Map

  4. 04

    Start With the Work, Not the Tool

    Decision tool: Workflow Decomposition Canvas

PART II

Choose Wisely

Find valuable work, and learn to say no to demos that should not become systems.

  1. 05

    Where AI Earns Its Keep

    Decision tool: AI Use-Case Scorecard

  2. 06

    Good Demo, Bad Use Case

    Decision tool: Reject-or-Proceed Risk Gate

  3. 07

    Context Is the Product

    Decision tool: Context-Readiness Checklist

  4. 08

    Human Judgment Is Part of the System

    Decision tool: Human Decision-Rights Map

PART III

Pilot Safely

Turn a promising idea into a small, measurable experiment with real guardrails.

  1. 09

    Design the Smallest Useful Pilot

    Decision tool: Safe Pilot Charter

  2. 10

    Guardrails People Actually Use

    Decision tool: Minimum Viable Guardrail Set

  3. 11

    From System of Record to System of Action

    Decision tool: Build–Buy–Integrate Matrix

  4. 12

    Measure, Kill, Scale

    Decision tool: Pilot Review Scorecard

PART IV

Lead the Journey

Build a repeatable practice for seeing, selecting, shielding, piloting, learning, and scaling.

  1. 13

    Your AI Decision Journey

    Decision tool: AI Decision Journey Map

03 — THE CAPABILITY MAP

Possibility is not the same as permission.

The useful question is not only “Can the model do this?” It is “What would make this responsible enough to try?”

01

What AI can do now

Create, transform, summarize, classify, retrieve, analyze, and use tools within defined boundaries.

02

What AI needs

Relevant context, trusted source material, examples, clear instructions, human review, and escalation paths.

03

What AI cannot own yet

Truth, accountability, unstated context, business judgment, ethics, and risk ownership.

04 — THE INVITATION

The best examples are already happening inside real work.

I’m speaking with AI practitioners, business owners, and functional leaders about how they actually use AI: what works, what fails, what they stopped doing, and what they would test next.

FOR CURIOUS READERS

Join the early-reader circle

Receive selected sections and practical decision tools before publication.

Join the circle

FOR PEOPLE DOING THE WORK

Share how you use AI

Have a short practitioner conversation that may inform the book.

Start with the form

Any quotation or attribution will be confirmed with you later.

05 — JOIN EARLY

Join the early-reader circle.

Tell me where you work, what you are exploring, and whether you would like to read early, share your experience, or both.

Your response goes to a private working sheet. I will confirm any attribution before publication.

READER + PRACTITIONER INTAKE

The form collects your name, email, role, country, interest, current AI use, follow-up consent, quote consent, and attribution preference.

Open the Google Form in a new tab

GOOGLE FORMS CONFIRMATION

“You’re in the circle.”

After a successful submission, Google Forms will show its confirmation screen. I’ll be in touch with selected excerpts, practical questions, or a possible practitioner conversation.