Tools · Build vs. buy
Do you need to
build custom AI?
Work through the operating gaps before committing to custom software. The result is a likely implementation path, not a procurement verdict.
Why custom software comes last
Building creates an ongoing software asset to secure, operate, monitor, and maintain. It is justified when a valuable workflow still has a specific gap after the existing product ecosystem has been evaluated—not because custom code feels more sophisticated.
---
title: "AI Build vs Buy Assessment"
description: "Decide whether an AI workflow should be configured, connected, automated, or supported by custom software."
url: https://lidvizion.ai/tools/ai-build-vs-buy-assessment/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Tools](https://lidvizion.ai/tools/) · Build vs. buy
# Do you need to build custom AI?
Work through the operating gaps before committing to custom software. The result is a likely implementation path, not a procurement verdict.
1. Have you tested whether your existing AI tools can handle the core task with the right instructions and approved knowledge? Yes, and a material gap remains. Not yet. We are not sure.
2. Does the workflow need information or actions from other business systems? Yes — CRM, documents, inbox, Slack, APIs, or similar systems. No — the work can stay inside the AI tool.
3. Is the work recurring enough to define a trigger, steps, approval points, and exceptions? Yes — the workflow is repeated and bounded. No — it is mostly one-off judgment work.
4. After configuration, connection, and available automation options, is there still a specific capability missing? Yes — we can name the missing interface, logic, control, performance, or workflow capability. No. We have not evaluated that yet.
LIKELY IMPLEMENTATION PATH**Configure first**
Start by proving what the AI tools you already have can do with the right context, instructions, permissions, and evaluation.
1. Configure
2. Connect
3. Automate
4. Build
## Why custom software comes last
Building creates an ongoing software asset to secure, operate, monitor, and maintain. It is justified when a valuable workflow still has a specific gap after the existing product ecosystem has been evaluated—not because custom code feels more sophisticated.
[When should a company build custom AI software?](https://lidvizion.ai/answers/when-should-a-company-build-custom-ai-software/)
[Map the implementation path](https://lidvizion.ai/contact/?need=ai-workflow)