T4LEADER
Lead the
The Decision
A six-week Power Journey for senior practitioners accountable for innovation and AI deployment decisions at enterprise scale.
One Operating Model. Six sections. A transformation thesis that survives the next CEO.
6 Weeks
DURATION
Online · Live Sessions
FORMAT
Senior Practitioners
BUILT FOR
Innovation and AI
PILLAR
If you are the practitioner the AI
deployment call lands on
this is for you.
Most enterprise AI deployments are framed as use case decisions. They are in fact data foundation decisions. The practitioner work is reading the gap.
This isn't an AI strategy course. It is built for the practitioner
sitting in the room when the AI use case is being scoped, the data
foundation is being skipped past, and the adoption metric is
being briefed up to the board.
Five to fifteen years in. Senior enough that the decision lands on
you. Junior enough that you are still close to whether the data
foundation actually holds.
It is also for the practitioner who has noticed that transformation
theses tend to be written in the current CEO's voice and who
has watched what happens when that CEO leaves and the thesis
can't be defended without them.
Six things you'll be able to do when this is over:
Not by accident. Not because you read the right book. Because you did
the work on a real AI deployment in your real organisation.
01
Run the AI Operating Hour as a recurring
habit.
Not a one-off reflection. A recurring time-slot in the calendar where you step back
from execution and test the AI lens against the substantive work. With the question
you held named, the blind spot it surfaced named, and the decision you are now
making differently named alongside it.
02
Write a transformation thesis that survives the
next CEO.
Articulated in language that does not depend on the current sponsor's persona.
Underlying business reasoning, not technology fashion. Three to five dependent claims
named explicitly with risks. One specific test that would tell an incoming leader
whether the thesis is still on track. Defensible in the room you are not in.
03
Map claimed capability against observable
capability.
Three columns. What the strategy doc claims. What the organisation can actually
demonstrate today, with evidence. The gap. With at least one structural gap named
the kind that does not close in 90 days including the uncomfortable one you would
rather not surface to leadership.
04
Audit the data foundation honestly.
The data the use case actually needs. The data the organisation actually has. The
specific delta. The cost of closing it. The recommendation: deploy now, deploy after
foundation work, or do not deploy and reframe the use case. With at least one gap the
organisation is currently downplaying named on the page.
05
Read the adoption curve before declaring
victory.
The cited metric ('85% of cases handled by AI'). What the metric is masking pilot
performance, narrow use case, opt-in users, novelty effect, supervisor workaround.
The genuine usage signal you believe is closer to the truth. The specific signal that
would shift your read in either direction. Verifiable by an incoming CEO, not dependent
on your intuition.
06
Use AI as a thinking partner, not a crutch.
Six weekly Digital Edge exercises with Claude. You learn to use AI to surface thesis
blind spots, pressure-test capability maps, audit data foundation reads, and stress-
test adoption curve interpretations while staying critical about which AI suggestions
to keep and which to override. Judgement, not adoption.
Two modules. One Operating Model.
Built section by section.
Week 1 builds the discipline. Weeks 2 to 6 build the artefact. They are
designed to land in this order the Operating Model only holds because
the AI Operating Hour is what gets you to the honest read each week.
WEEK 1 · MODULE 1
AI Operating Hour for
Transformation Leaders
The discipline that makes everything after it work.
You book the recurring time-slot. You hold the substantive question. You learn the practitioner habit of stepping back from execution to test the AI lens against the work itself. By the end of Week 1, the AI Operating Hour is in your calendar as a running habit not a one-off reflection and you have the first blind spot the discipline surfaced documented in your log.
SECTION 1 OF THE OPERATING MODEL — AI OPERATING HOUR
WEEKS 2 – 6 · MODULE 2
Digital Transformation with
Data Foundations
Five weeks. Five sections. One running document.
Week 2: the Transformation Thesis. Week 3: the Capability Map. Week 4 (the heaviest week): the Data Foundation Audit. Week 5: the Adoption Curve Read. Week 6: the Capstone synthesis where the six sections become one Transformation Operating Model that survives executive scrutiny without your personal explanation.
CAPSTONE — TRANSFORMATION OPERATING MODEL, WEEK 6
This is hands-on.
On a real deployment in your organisation.
Six weeks. Each week roughly the same rhythm. The work happens on a
real AI use case in your real organisation not on a worksheet.
Course content
On-demand video and reading. Roughly 60 minutes per week. Watch when it works for you.
Live partner session
60 minutes per week with your Transformation Partner and a small group of fellow practitioners. Where yousense-check the practical with peers before submission. Where the real learning lands.
Weekly practical
One short applied exercise per week, run on a real use case in your organisation. The AI Operating Hour Log. The Transformation Thesis. The Capability Map. The Data Foundation Audit. The Adoption Curve Reading. Six pieces of real work over the Journey.
Digital Edge AI prompt
One AI-assisted reflection prompt per week. Pressure-test your thesis, capability map, data foundation read, or adoption curve interpretation with Claude including the parts you are not yet confident in. About 20 minutes.
Podcast + check-in
One Shameless Tuesdays episode per week (about 20 minutes), followed by three short questions in the app to confirm you listened. Earns engagement points.
Peer-to-peer
Optional but encouraged. A short call with a peer from your cohort to sense-check what you are about to submit. Many practitioners say this is where the practical actually integrates.
Two gates.
Both have to open.
Most online programmes let you finish by clicking through. This one asks for both engagement (you actually showed up to the work) and competence (you can demonstrate what you've learned on a real deployment).
GATE ONE
Engagement
You earn 40,000 points across the six weeks by participating live partner sessions, podcast check-ins, weekly practicals, peer-to-peer, the webinar, the Impact Log.
This proves you did the work.
GATE TWO
Demonstration
You complete the Transformation Operating Model Capstone (one six-section artefact, weighted 50%), two real-company case studies (GE Predix and MTN, weighted 30%), and a Practicals Portfolio of six weekly practicals (weighted 20%) marked by your assessor against a clear rubric.
This proves you can do the work.
Both gates have to open. We tell you that up front so you know what you're signing up for.
Real artefacts.
Yours to use the week after.
This isn't a certificate-and-forget Journey. You walk out with one running operating model and the practitioner habit underneath it both ready to use on Monday.
FINALISED WEEK 6
Your Transformation Operating Model
One six-section artefact (1,500 to 2,000 words). The AI Operating Hour discipline. The Transformation Thesis. The Capability Map. The Data Foundation Audit. The Adoption Curve Read. The AI Integration section. Reads as one running document, not six exercises stapled
together. Defensible to a CEO, board, or regulator without your personal explanation.
RECURRING PRACTICE
Your AI Operating Hour
The recurring time-slot in your calendar where you step back from execution to test the AI lens against the substantive work. The discipline that makes the rest of the Operating Model possible. Documented in your AI Operating Hour Log and ongoing in your week
long after the cohort closes.
SIX PIECES OF APPLIED WORK
Your Practicals Portfolio
One short applied exercise per week, run on a real AI use case in your organisation. The AI Operating Hour Log. The Transformation Thesis. The Capability Map. The Data Foundation Audit. The Adoption Curve Reading. The Operating Model plus Lessons Synthesis. Useful as a record of what shifted, and as evidence for any future board or programme conversation.
GENERATED AT COMPLETION
Your Learner Evidence Report
A single document your assessor generates at the end. Captures everything you submitted, the marking against the rubric, the moderator's review, and your final outcome. Yours. Shareable with a manager, recruiter, or future programme.
And though we treat this as the smallest of these things a certificate of completion
confirming you've done this work to a defined standard.
So you can decide if it's
actually for you.
We are direct about what this Journey is not, because most innovation
programmes are too vague to make a clean decision against.
This is not an AI tooling course. We do not teach you to fine-tune a model, write better prompts, or evaluate Copilot licences. We teach you to read the gap between AI use case ambition and data foundation reality.
This is not an innovation theory course. No Christensen disruption frameworks. No design thinking workshops. The work is on a specific AI deployment in your real organisation with the foundation gap and the adoption curve named on the page.
This is not a data engineering course. We do not teach you to build the data lineage. We teach you to read whether the lineage is honestly in place and to make the call defensible to a CFO who is going to ask about cost-to-close.
This is not for someone looking for AI hype. The Journey is honest. Naming the data gap your
organisation is currently downplaying, and the thesis that won't survive the next CEO, is the work.
This is not a passive watch-and-go programme. If you want to scroll videos and call it
development, this isn't it.
This is not for someone who isn't yet on the deployment call. The Journey assumes you have an AI use case to scope, a data foundation to audit, and an adoption curve to read. If you are earlier in your career, the Transformation Practitioner Gateway Journey is built for you.
IF THIS LANDS
Six weeks. One Operating
Model.
A thesis that survives the next CEO.
This is the Journey for the practitioner who has watched a
transformation thesis collapse the day the sponsoring CEO left, who
has seen an AI use case fail because the data foundation was three
years behind the ambition, and who is ready to do the practitioner
work that catches the gap before the next deployment fails publicly.
If that's you, we will see you in the room.