Automation
Do you need a custom agent or just an automation script?
A practical distinction that saves budget and complexity.
By JirakJ
4 min read
The work becomes easier when somebody writes down what good output actually means. The team calls every automation idea an agent and overcomplicates the solution. That is the real buying signal.
If nobody can explain the current flow in plain language, automation will only make confusion faster. For operators deciding how to automate repetitive work, the practical question is whether the workflow is ready to be made more reliable.
The boardroom version
The boardroom version is simple: the company is paying for repeated work because the team calls every automation idea an agent and overcomplicates the solution. That is a margin problem before it is a technology problem.
The operating version
The operating version is just as direct: use agents for judgment-heavy workflows and scripts for deterministic steps. Make the work visible enough that a non-specialist can follow the handoff.
The standard
A agent-or-script decision table is the minimum standard I would want before calling this mature. Otherwise the process still lives in somebody's head.
The upside
The right distinction leads to cheaper, safer and more maintainable builds. That upside is easier to defend than a generic claim about AI productivity.
Monday morning checklist
- • List the sources the workflow is allowed to trust and the sources it should ignore.
- • Write down the artifact that would make the work reviewable: in this case, a agent-or-script decision table.
- • Decide who owns the next version if the first version works.
- • Mark the part of the workflow where human judgment must stay visible.
If this sounds familiar
Start with one workflow. FlowMason AI can map it, identify the right intervention, and define whether the next step should be a prototype, agent, documentation pipeline or delivery system.
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