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    Automation vs AI agents: where should a business start?

    The useful question is not whether a workflow should use an agent. It is which steps are deterministic, which require language, which require judgment and which still need a person to approve the outcome.

    01

    Automate the boring certainty

    Rules, routing, formatting and repetitive system actions often do not need an LLM at all.

    02

    Use AI where ambiguity lives

    Language, document interpretation, classification and synthesis are stronger candidates.

    03

    Keep approval where risk lives

    Financial, clinical, contractual and high-impact actions deserve explicit human gates.

    04

    Instrument the workflow

    If failure cannot be observed, the automation is not ready to be trusted at scale.

    Apply the thinking

    Need this translated into your workflow?

    Share the process, users, knowledge sources, risk and success criteria. The architecture should follow the operating reality.

    Discuss your use case