Guide

Off-the-shelf AI tools vs. a custom app

How to choose between an off-the-shelf AI tool and a custom application: when a product is enough, and when the work is too specific to rent.

Both options can be right. The mistake is choosing from a slogan. An off-the-shelf tool is a product someone else maintains for a broad audience. A custom application is built around one business and looked after for that business. They fail in different ways.

When a product is the better buy

Choose a product when the job is common and you are willing to work the way the product works. Writing help, a generic chatbot with a document you paste in, a simple form tool, a calendar. If your team can live with its limits, and someone will actually keep it configured, you should not pay for custom.

You should also choose a product when you are still learning what the job is. A custom build is a poor place to discover that you did not need the thing. Use a cheap experiment, or a paper version, until the path is boring and clear.

When custom earns its cost

Custom earns its place when the work has your exceptions in it. The questions before a quote are yours. The handoff between the phone and the crew is yours. The words a caller should hear are yours. A product that is “close” creates a new job: translating your business into someone else’s settings, every time the business shifts.

Custom also earns its place when you do not want a staff member to become the tool expert. Done-for-you means discovery, design, build, launch, and care stay with one team. You describe the outcome. You do not take a course first.

A practical test

If the template would bend the company, and nobody wants the maintenance job, a custom application is the conversation to have. If not, buy the product and skip the project. We would rather say that in discovery than build something you do not need.

Related: what we can build, a short self-check, and how a project runs.

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