Technology — Strategy
Before you build, make sure you're building the right thing.
The most expensive technology decision is usually the one made too early. We start by working out whether the investment is warranted at all.
Not every problem needs AI.
Some problems are better solved by fixing a process, clarifying who owns a decision, or using something you already own.
Not every process needs automation.
Automating a process that should not exist simply makes the wrong thing happen faster.
How we assess
Six questions we work through before recommending anything.
What is the actual problem?
The stated request is often a proposed solution. We work back to the problem it was meant to solve.
What already exists?
Capability you already own is the cheapest capability you have. It is worth finding before buying more.
What does the current state cost?
Time, rework, delays, risk and lost opportunity — described concretely enough to compare against.
What should happen first?
Sequencing matters more than the plan. The first step should be useful even if the rest changes.
Build, buy, or neither?
All three are legitimate answers, and the third is more common than the industry admits.
How will we know it worked?
Decide the measure before the work starts, while it is still easy to change course.
What you get
A clear view, not a proposal for the biggest possible project.
The output is a written assessment: what the problem actually is, what exists already, what we would do first, what it would cost in rough terms, and what we would deliberately not do yet. If the honest answer is that you should not spend the money, that is what it will say.
Where this leads
Strategy work often turns into one of these.
Let's start with the problem.
Bring us the decision you are trying to make. We will tell you what we would do, including if the answer is to do nothing yet.