VOL. 01   NO. 01   APR 18 · 2026   5 MIN READ
ONE PAGER
FIELD BRIEF
FIELD BRIEF · AI READINESS

Why most AI projects fail before they start.

AI failure isn't a technology problem — it's a preconditions problem. Most companies deploy AI on top of broken or unclear processes. And AI doesn't fix messy processes. It amplifies them.

WHAT IS A FIELD BRIEF?

A Field Brief is a structured, one-page distillation of a key strategic question. Each brief diagnoses the root cause, maps where the gap shows up, and closes with a concrete next step — designed to be read in under 5 minutes and acted on immediately.

THE DIAGNOSIS
#1
Poor data readiness — MIT's leading reason long-term AI initiatives stall.
FIG. 01 · CLEAN IN · TANGLED OUT

Garbage in = garbage out. Fragmented silos, duplicate records, and "dirty" data outrank model choice, budget, and talent as the killer.

"Most companies solve for tool selection when the real question is problem definition — and whether your company culture is ready for it."

The readiness gap shows up in four places.

01 — A DIAGNOSTIC FOR LEADERS
01 · Data

Garbage
in, out.

No clean, accessible information for AI to work with. Fragmented silos, duplicate records, dirty inputs.

TELL: SPREADSHEET OF TRUTH LIVES ON ONE LAPTOP
02 · Process

No owner,
no baseline.

Teams rush to deploy and ask "what can AI do for us?" instead of starting from a concrete pain point and a success metric.

TELL: "LET'S PILOT IT AND SEE"
03 · Mindset

Not a tool —
a capability.

Early adopter ships something that works. It stalls at middle management. No mandate, no guts to push it through.

TELL: "WE BOUGHT THE LICENSE, NOBODY OPENED IT"
04 · Expectations

Belief in
miracles.

Executives embark with a high-level goal expecting technologies that need months of data prep or retraining to pay off immediately.

TELL: "WHY ISN'T IT WORKING YET?" — WEEK TWO

The Move — before touching any tool.

02 — 15 MINUTES
PRESCRIPTION · 15 MIN

Answer three questions. Honestly.

Q.01
What's the process I want AI to help with?
Q.02
Who owns it? — name, not department.
Q.03
What does "better" look like? — measurable.
→ BONUS TOOL · SET CHATGPT CUSTOM INSTRUCTIONS. TWO MINUTES. EVERY CHAT STARTS WITH CONTEXT.

From the field.

03 — CULTURE, NOT CODE
A MINDSET MASTERCLASS
CASE STUDY

How a stagnant giant rewired itself — on culture, not tooling.

The playbook: risk-taking welcomed, failure depersonalised, customer need above rigid process. No pilots — implementation and iteration.


LEVER 01
Risk-taking culture

Experimentation welcomed. Breakthroughs that excessive caution would have stifled. No pilots — implementation and iteration.

LEVER 02
'No Fault' policy

Eliminate fear around mistakes. Errors are part of the learning process. Initiative and continuous improvement get rewarded.

Implementing AI is as much a culture challenge as a technical one. Stop asking "which tool?" — start asking whether AI is even the right category, and whether your organisation is ready to carry it past middle management.

NEXT STEP · FREE

Start your free AI readiness scan.