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Build, buy, or wait: assessing new technology without burning a budget

Something new arrives every few months that a vendor will tell you is urgent. Some of it is. Most of it is worth watching, and a small amount is worth acting on now.

The businesses that handle this well are not the ones with the best predictions. They are the ones with a cheap way of deciding, so a wrong call costs a fortnight instead of a year.

Wait is a decision, not a failure

The default assumption is that waiting means falling behind. Sometimes it does. Often waiting is the highest-return choice available, and it should be made deliberately rather than by drift.

Early adoption of an immature technology means you pay to discover the problems. You build integrations against interfaces that change, you train people on tools that get replaced, and you carry the cost of being first. Twelve months later the same capability is cheaper, more stable, and the obvious pitfalls are documented by someone else.

The difference between waiting and drifting is that waiting has a trigger. What would have to be true for this to be worth doing, and when will we look again? Write that down and it becomes a decision you can defend.

Buy when it is not your difference

If a capability is the same for you as it is for your competitors, buy it. Payroll, accounting, email, document storage. There is no advantage available in doing those differently, and a vendor with thousands of customers will do it better than you can.

Build when the thing is specific to how your business works and that specificity is why customers choose you. Your pricing logic, your particular operational flow, the process that lets you turn work around faster than the market.

The mistake in both directions is common. Businesses build things they should have bought, usually because a generic tool needed a compromise nobody wanted to make. And they buy things they should have built, then spend years bending an off-the-shelf platform towards a process that was their actual advantage, until the advantage is gone.

Make the test cheap

The most useful discipline is not better analysis. It is shrinking what a wrong answer costs.

Take one real process, not a demo, and test the technology on it for two weeks with a defined question. Can it read our worst documents accurately enough. Can it handle the exception that breaks everything else. One question, one process, a fortnight.

Two weeks and a small budget will tell you more than three months of evaluation, because it puts the thing in contact with your actual mess. And a fortnight is short enough that abandoning it is easy, which is the property that matters most. Long pilots are hard to kill, and pilots that are hard to kill turn into commitments nobody decided to make.

Decide what you would need to see

Before the test, write down what result would make you proceed and what result would make you stop.

Doing this afterwards is how organisations end up rationalising. The output is ambiguous, someone senior is invested, and the ambiguity resolves in favour of continuing. Deciding the threshold in advance costs ten minutes and removes most of that.

What we do with our own R&D

We run this on ourselves, and most of what we try does not make it into client work. That is the expected outcome, not a bad quarter.

The value is in knowing why. When a client asks about something new, the useful answer is not enthusiasm or scepticism, it is that we tried it on this kind of problem and here is where it broke. That is worth more than a position, and it is only available if you keep testing things cheaply and are willing to stop.

The question underneath all of it

Before any of the three answers, ask what decision or process this would improve, and whether anything is currently blocked on it.

If nothing is, the honest answer is usually wait. Not because the technology is bad, but because you have not yet found the place it would matter in your business, and buying it first rarely helps you find that.

Test it on something real

An Ignite engagement is a fixed-scope proof of concept: one real problem, a defined question, and a clear answer at the end of it.

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