GUIDES / STRATEGY
Technology and AI decisions you can still explain after the meeting.
Technology strategy is the set of decisions about what to build, buy, change or postpone, each kept with its reasons. These guides cover how to frame each one, which facts it depends on and what would change the answer.
WHAT THESE GUIDES COVER
Strategy here means specific decisions, each with its reasons written down.
The work is concrete: name the decision, separate it from the symptom that raised it, gather the facts it depends on, write down the trade-offs and note what would justify revisiting it. A good decision can be defended after the adviser has left; advice that only makes sense with the adviser in the room has created a dependency.
The guides fit owners and managers choosing a system, a vendor, a use for AI or the order of the next investments, when the answer has to hold up inside the company. How to set up a specific tool is covered in the other guides.
- Whether to build, buy or wait, decided for one specific need
- Where AI is worth paying for today and where it is premature
- The facts that would reopen a decision, written in advance
CATEGORIES
Where strategy questions usually fall.
AI strategy
Which uses of AI are worth paying for, which are premature, in what order to adopt them and how to judge vendors.
Strategy and digital change
Technology reviews, the order of investments, vendor choice and the questions that decide what a project has to deliver.
GUIDES
Strategy questions the guides answer.
How to Avoid AI Theater
AI theater is AI that demos well but changes nothing in daily work. A three-question test to tell working AI from an expensive demo.
FREQUENTLY ASKED
Questions about technology and AI decisions.
Build, buy or wait: how do you decide?
Which technology decisions come first?
How do you avoid an AI strategy driven by hype?
When is waiting the right decision?
How do you know a decision worked?
SERVICES
When a decision needs a second opinion.
Consulting by the hour
Sessions paid in advance, one decision at a time, with any build that follows quoted separately.
AI systems
When the decision is to put AI into daily work, priced on the hours it saves.
Data readiness
When the decision depends on data that is scattered or cannot be trusted as it stands.