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AI Pilots are Easy to Start Making Them Change the Business is Hard

Weston A. Jones and Jacob C. Roxon, authors of Feasible, Not Achieved, are available for interviews, podcasts, articles and executive briefings on why AI stalls — and the nine decisions that finish it.

Feasible, Not Achieved Book

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The Jones-Roxon Nine™ in 90 seconds

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Feasible, Not Achieved

Why AI Transformation Stalls, and the NINE Decisions That Finish It.

Your board wants a plan. Your employees are already using AI. Your vendors are promising returns nobody can verify. And the pilot that worked hasn’t changed how anything actually runs.

Feasible, Not Achieved explains why that gap persists and introduces the Jones-Roxon Nine™ — nine decisions for turning AI experiments into governed, scalable, measurable business change.

Who the Book Is For

Executives

Decide where AI creates value and who owns the outcome.

AI & Transformation Leaders

Turn scattered initiatives into a managed portfolio.

Technology Leaders

Build a foundation the business can adopt and govern.

Business & Operations Leaders

Redesign the work and prove the value.

The Jones-Roxon Nine™ Series

01  Feasible, Not Achieved

02  Broken Rebuilt Ready

COMING SOON

03  Rebuilt Finance

COMING SOON

Meet the Authors

Two Perspectives. One Operating System for Turning AI Into Business Results.

Weston A. Jones

Weston A. Jones, MBA, CPA

ENTERPRISE AI TRANSFORMATION AND LEADERSHIP.

Weston has approximately 30 years of experience leading large-scale transformation across IBM, EY, and PwC, including 16 years focused on automation and AI transformation. He founded EY’s global automation and intelligent automation practices and later served as Intelligent Automation Leader for PwC in the U.S.

~30 years

Enterprise transformation and leadership

IBM • EY • PwC

Leadership roles across technology and operations

Automation & AI

Built and led global practices

Jacob Roxon

Jacob C. Roxon, PhD

AI strategy, systems & enterprise deployment.

Jacob has spent 15 years building and deploying AI across research, startups, and industry. He co-founded two AI companies and now leads AI strategy at a global manufacturing enterprise, deploying AI and agentic systems in production. His work bridges deep technical expertise with business transformation and the human side of AI.

15+ years

AI research, development and deployment

Startups to Enterprise

Co-founded two AI companies and now leads AI strategy

Enterprise Deployment

AI and agentic systems in production

The Nine Decisions at a Glance

AI initiatives usually don’t stall because the technology failed. They stall because ownership,

operating decisions, and measures of value were never put in place.

01

Vision & Strategy

Direction

02

Operating Model & Organization

Direction

03

Work Enablement & Process Evolution

Engine

04

Data & Knowledge

Engine

05

Technology & AI Foundation

Engine​

06

People, Leadership & Adoption

Enabler and Guardrail

07

Governance, Ethics & Trust

Enabler and Guardrail

08

Delivery & Execution

Lifecycle

09

Value & Continuous Improvement

Lifecycle

These are Operating Problems-Not Technology Problems.

The Jones-Roxon Nine™ organizes the decisions required to move AI from pilot to measurable business results.

Interview Topics

Discussion themes for podcasts, articles, panels and executive briefings.

Why AI Stalls

Technology is rarely the reason. Unclear ownership, unchanged processes and untrusted data usually are.

Ask: “If the pilot worked, why hasn’t anything changed?”

From Pilot to Scale

Why successful pilots often have nowhere to go — and what it takes to change how the business actually runs.

Ask: “What separates AI pilots that scale from the ones that stall?”

The Nine Decisions That Finish It

Inside the Jones-Roxon Nine™: the connected operating decisions behind lasting AI transformation.

Ask: “Which of the nine decisions do leaders most often skip?”

Who Owns AI?

Assigning clear ownership of decisions, budgets and outcomes — instead of every request waiting for the committee.

Ask: “Why does AI ownership break down in large organizations?”

Running AI as a Management System

Operating models, leadership cadence and governance that still work after the plan meets reality.

Ask: “What does an operating system for AI look like in practice?”

Proving the Value

Trusted data and measures that make AI value measurable, defensible and repeatable.

Ask: “Why do AI savings so rarely reach the financial results?”

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Weston A. Jones

Weston Headshots

Jacob Roxon

Jacob Headshots

Feasible, Not Achieved Book

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Ways to Work Together

We’re open to a range of opportunities, including:

Let’s Talk

Working on a story about AI transformation?

Speaking opportunities, media inquiries, partnerships, or a question about the Nine — send a note and we will come back to you.

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