What I learned

Thirty years.
Twelve dispatches.

Hospital mergers. National banking programs. Machine learning transitions. A methodology built from scratch. A country left behind. Each dispatch is one thing I learned that I could not have learned any other way.

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14

AI in the workplace / Practitioner view

What I learned about AI entering the workplace from the inside

Everyone is managing AI adoption. Almost nobody is weighing the factors that actually determine whether it makes or breaks the organisation. Here is what I saw from inside.

Coming next

09

Leadership / C-suite advisory

What I learned advising boards on AI they do not understand

C-suite. Board level. Smart people who had decided AI was someone else's problem. Here is how that conversation goes.

10

Change management / Embedding

What I learned about change that actually sticks

Most change programs end when the consultant leaves. Here is what I did differently and why it is harder than it sounds.

11

Methodology / Scalable frameworks

What I learned about building frameworks that transfer

A methodology that only works when you are in the room is not a methodology. It is a dependency. Here is how I learned the difference.

12

Finance transformation / Accountability

What I learned about financial accountability in regulated environments

Financial accountability is not a finance problem. It is a behaviour problem. Here is what thirty years in regulated environments taught me about that distinction.

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