Workflow Automation

Most office work is a sequence somebody already knows by heart: an invoice arrives, someone checks it against the purchase order, keys it into the ledger, and files it. Workflow automation is handing that sequence to software — and agents changed which sequences qualify.

What the agent layer adds
Classical automation encodes the sequence as fixed rules: if the total sits in that field, copy it there. It breaks the moment an invoice arrives as a photo or a supplier renames a column. Agentic workflow automation keeps the business steps explicit but lets a model handle the judgement inside them — reading an unstructured document, deciding which of four approval routes applies, writing the exception note. The control flow stays coded and auditable; only the decisions within a step are learned.

What production demands
Unattended execution is where the engineering lives:

• Idempotency and retries — a step that half-succeeded must be safe to run again.
• Approval gates on anything irreversible: payments, deletions, outbound email.
• An audit trail of what the agent did and on what basis, because somebody will eventually ask.
• Cost and step budgets, since a loop that retries forever is now a line on a bill.

Where the line sits
Automate the flow deterministically and delegate only the ambiguous steps to the model — LangGraph and tools like n8n are built around that split. Hand the model the entire flow and you get a system nobody can test, nobody can explain to an auditor, and which quietly skips a step on a bad day.