Strategy & ROI

Build vs Buy: Custom AI Agents or Off-the-Shelf?

When to use a general-purpose AI tool, when to buy a packaged agent and when to have a custom agent built.

Written by
AI Agents at Work · editorial team
Last reviewed
Reading time
2 min
Sections
3

The short answer

Use general-purpose AI for broad productivity, packaged agents for standard functions, and custom agents for workflows that define your business or touch your specific systems.

Key takeaways

  • Three layers, not one choice.
  • Custom for differentiating workflows.
  • Start with the biggest pain point.
Part of the complete guideAI Agent Strategy and ROI: A Complete Leader's Guide →

01General-purpose

ChatGPT, Claude or Copilot: cheap, flexible, great for drafting and research. Weak at your specific data and formats.

02Packaged agents

Fast to start for standard jobs like generic support or scheduling. Limited when your process differs.

03Custom agents

Built around your workflow, connected to your systems, measured against your goals. This is the layer Switch builds, usually starting with the most obvious pain point.

Frequently asked questions

Isn't custom too expensive?

Scoped to one high-value workflow, it often pays back faster than a broad platform licence.

Can we build in-house?

Yes if you have AI engineering capacity; many companies prefer a partner for the first agents.

How this guide was made

Written and reviewed by our editors against vendor documentation, public regulation texts and practitioner interviews. We update guides when products or rules change. Tools mentioned may have a commercial relationship with this site; this never decides what we recommend.

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