The Operator’s System for AI Transformation

AI Pilots are Easy to Start

Making Them Change the Business is Hard

The Jones-Roxon Nine™ gives leaders nine connected decisions for turning AI experiments into scalable, measurable business change.

The Operator’s System for AI Transformation

AI pilots are easy to start.

Making them change the business is hard.

The Jones-Roxon Nine™ gives leaders nine connected decisions for turning AI experiments into scalable, measurable business change.

Why We Wrote This Book

We spent our careers on the inside of this problem. One of us built automation and AI practices at EY and PwC. The other builds the models and deploys them inside a global manufacturer.

We kept seeing the same pattern. The technology worked. The pilot succeeded. A year later, little about how the business operated had changed.

Often, the technology wasn’t the problem. The operating decisions around it were incomplete. So we wrote the book we would have wanted: not another plan, but a way of deciding that still works after the plan meets reality. 

The Problems This Book Solves

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.

1

Ownership Breaks Down

Successful pilots often have nowhere to go.

The pilot worked. Nothing changed.

Nobody owned the result after the pilot ended, so it had nowhere to go.

Every request waits for the committee.

Nobody has the authority to say yes or no, so speed and accountability both suffer.

2

The Operating Model does not Change

Without a clear operating model, AI stays fragmented and gets stuck.

Two teams built the same thing.

There was no operating model, so every function solved it alone.

People stopped using the tool.

The work was never redesigned. The tool added a step instead of removing one.

3

Value and Trust Never Become Clear

Without trusted data and a way to measure impact, results are difficult to prove and defend.

The savings never reach the financial results.

No baseline was set before launch, so the value cannot be proven or defended

The data is there. Nobody trusts it.

The information the work touches was never made accurate, current and owned.

These are Operating Problems-Not Technology Problems.

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

The Nine Decisions at a Glance

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

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