The demo works beautifully. The invoice looks manageable. Then someone asks whether it connects to the system you actually use.

This is where the build-or-buy decision becomes interesting.

Do not compare the purchase price of a tool with the cost of writing a prototype. Compare the cost of operating a useful system.

Describe the job without naming a product

Write the input, desired output, frequency, users and important exceptions. List which systems must exchange information.

For example: “Prepare a reviewable summary of approved support tickets each Friday, grouped by product issue, with links back to the source.” That is a requirement. “We need an AI platform” is a shopping mood.

Distinguish essential behaviour from preferences. This prevents an attractive feature list from rewriting the problem.

Price the surrounding work

For a purchased tool, include configuration, data cleanup, training, integration, monitoring and the time spent correcting results.

For a custom tool, include ongoing model or infrastructure charges, testing, maintenance, security review and the person who answers when it fails.

A prototype can be quick. A dependable service has a longer shopping list.

Examine the exceptions

Ask what happens when an input is incomplete, a connected system is unavailable or a result cannot be verified.

Try representative awkward cases during evaluation. Do not let the vendor supply every example.

Document which actions are reversible and which need human approval. If the tool can alter customer records, the evaluation must cover more than whether its summary sounds sensible.

Ask about leaving

Can you export your data in a useful format? Can another person understand the configuration? What breaks if you cancel?

For custom work, confirm access to source code, deployment instructions and operational documentation. For purchased software, understand the practical limits of portability.

“Future-proof” is not a specification. An exit plan is.

Choose the smallest responsible option

Buy when the available product meets the important requirements and the operating costs make sense. Build when a genuinely distinctive workflow justifies ownership and maintenance.

A hybrid can work: standard tools for ordinary functions, custom code for the narrow part that makes your operation different.

Write down your assumptions and a review point. The decision can change as volume, risk and requirements change. Being willing to revisit it is good management, not an admission that the first meeting was insufficiently visionary.

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