Custom AI agents
00Custom AI agents

When a dedicated agent solution makes sense.

A general assistant can draft text and answer questions. A business process asks for more: approved sources, limited rights, reviewable results and a defined way to handle exceptions. That is where the decision for or against a custom agent begins.

Praetorian Digital OÜ · Tallinn, Estonia

Editorial responsibility: Praetorian Digital OÜ

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Last reviewed:

01PDA

Start with the process.

01

An agent idea is not enough. The recurring task, owner, involved systems and expected result need to be clear. A good candidate has a recognisable input, a defined output and cases where a person must take over.

02PDA

When a standard tool falls short.

02

A custom solution may be appropriate when internal knowledge must be combined across sources, outputs follow organisation-specific formats or the agent needs controlled access to business systems. Permission design, logging and approvals can also make a general assistant unsuitable.

03PDA

Five questions before development.

03
  1. 1.

    Which role does the agent perform?

  2. 2.

    Which sources and tools may it use?

  3. 3.

    Which actions are prohibited?

  4. 4.

    How is a usable result recognized?

  5. 5.

    When does a person review or take over?

04PDA

When conventional automation is the better choice.

04

If inputs, rules and exceptions can be described reliably, a deterministic workflow is often easier to test and operate. An available model is not a reason to add an agent.

05PDA

Test with real cases.

05

A bounded pilot reveals missing information, common failures and weak handovers. Only then should the role expand. This provides a sound basis for judging value and operating effort.

Have a recurring process but no finished agent idea? The Agent Discovery checks whether a custom agent, agentic automation or a simpler solution fits.