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AI agent subscription or custom build: which should you choose?

Compare a managed AI agent subscription with a custom build by looking at workflow complexity, permissions, support and cost.

6 min read

A managed subscription is usually the fastest way to start with a proven role. A custom build becomes worthwhile when the workflow, data, integrations or approval model is specific enough that a default agent would create work instead of removing it.

Choose a managed starting point

  • The job is common and well defined.
  • You want predictable setup and support.
  • The agent can begin with a small set of approved connections.
  • Speed matters more than deep customisation at the start.

Choose a custom build

  • The process is distinctive to your organisation.
  • Several systems must be joined with specific rules.
  • The agent needs a tailored data model or staged approvals.
  • You can define the owner, outcome and test cases.

A sensible path

Start with the smallest useful deployment, measure the real workload and add custom behaviour only where the evidence justifies the extra setup and maintenance.

Next step

Shape this around your own workflow.

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