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The Basics of AI Strategy.
Everything we tell clients before they spend a euro: what agent orchestration changes, how to pick the first workflow, why adoption is the hard part, and what this actually costs. Free, and there is no pitch inside.
Inside the guide
- 01
What AI strategy actually means now
Not a tool list. A decision about who does the work — and what your people do instead.
- 02
Agent orchestration
One person dispatching many agents at once, and the skills a team needs to run that.
- 03
Where the money leaks today
The brief-meet-wait-iterate loop, priced step by step, so you can see the real cost.
- 04
Choosing the first workflow
A five-point scorecard: frequency, pain, quality bar, data access and ownership.
- 05
Adoption beats technology
Why most AI programmes stall after the build, and the two activation formats that work.
- 06
Regulation and token economics
Staying inside EU rules, and keeping cost per output a number you can defend.
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