AI agent workflow automation.
Agent workflows are not Zapier flows with an LLM step bolted on. They reason about goals, decide which path to take, and recover from exceptions — without you mapping every branch in advance.
Linear flow vs. reasoning loop.
Zapier flow
Trigger fires, fields map, branches execute. Every path you did not anticipate fails closed and waits for a human.
Agent workflow
Goal received, plan generated, steps executed with the right tools, exceptions handled inline. No branch maps required.
Where this matters
Anywhere inputs vary, intent is implicit, or the workflow needs judgment. That is most knowledge work.
One agent workflow, end to end.
Trigger
"Run the weekly newsletter cycle every Monday at 9am."
Steps
Pull the past week's content, summarize the highlights, draft three subject lines, generate the body, schedule in the ESP.
Exceptions
If no new content, the agent reroutes to a curation flow. If the ESP rate-limits, it retries with backoff. Nothing stalls silently.
See it on the marketing team →
Ticket triage that actually adapts.
Trigger
New support ticket created in Zendesk.
Steps
Read the ticket, classify intent, look up the customer, draft a reply, decide whether to send autonomously or queue for human.
Outcome
Routine tickets resolved in under a minute. Edge cases escalated with full context. Ops team →
Bring the workflow that keeps breaking.
We'll build an agent version of it during the call. Most teams have one running before the week is out.