Compare the three paths
| Path | Speed | Ownership burden | Best fit |
|---|---|---|---|
| Buy | Fastest | Lower | Standard workflow with mature vendors |
| Configure | Fast | Medium | Known workflow across existing tools |
| Build | Slowest | Highest | Differentiating or unusual workflow |
Compare total cost, not sticker price
Include implementation, integration, data cleanup, evaluation, vendor management, ongoing maintenance and change management—not just subscription or development cost.
Treat reversibility as value
A slightly less elegant solution can be better if it is easier to test and unwind. Early AI projects benefit from low switching costs while requirements are still moving.
A practical sequence
- Define the workflow and success metric.
- Check whether a product already solves most of it.
- Check whether configuration closes the remaining gap.
- Build only if the residual value justifies ownership.
Frequently asked questions
When should we build custom AI?
When the workflow is strategically differentiating, existing products leave material value on the table, and you are prepared to own evaluation, integration and maintenance.
Is no-code automation the same as buying?
It sits between buying and custom building: you configure reusable components but still own workflow logic and maintenance.
What if vendor pricing changes later?
Model a range and include switching cost. Reversibility is one reason to keep early implementations modular.