Workflow automation examples

See workflow automation in action across engineering, product, marketing, sales, support, and compliance.

Workflow automation examples, run by an AI agent

Agentic workflows start with repeatable work and end in a reviewable result

The workflow automation examples below all have the same shape: a clear trigger, context pulled from the tools that already hold it, and a finished deliverable someone can review. Zero runs each one as an AI agent rather than a fixed script, so it can read unstructured input — a Sentry stack trace, a sales call transcript, a week of ad spend — and decide what belongs in the output.

Compare each workflow by its source tools, output, schedule, and approval point. Rule-based business process automation stops when the input does not match the rule. AI workflow automation interprets the input, then stays inside the access rules you set: every connector is granted per app and per action, read or write, and access can be time-boxed to an hour, a day, or left standing.

These agentic workflows run in the cloud, not on your laptop. Zero keeps working after you close it, runs several jobs at once, and reports back in the tools your team already uses. That is the difference between automated workflows that need someone watching and an AI employee that owns a recurring responsibility.

Each workflow is also a team asset. One person builds it, the whole org can run it, and every member attaches their own triggers, schedules, and credentials on top. Nothing is locked to a single model vendor either — switch between frontier models as they ship, without rebuilding the workflow.

How an AI agent workflow moves from trigger to reviewed output

A useful workflow makes the trigger, source data, output, and approval point explicit — the same four decisions behind every AI automation example on this page.

  1. 01

    Choose the trigger and source tools

    Decide whether the work starts on a schedule or an event, then connect only the inbox, CRM, code, docs, or analytics it needs. Zero reaches 200+ tools, and each one is connected per action rather than wholesale.

  2. 02

    Define the output and guardrails

    Specify the report, draft, issue, page, or update you expect, plus what Zero may read, draft, or write. Sensitive actions stay behind your approval instead of running unattended.

  3. 03

    Review one run before scheduling the next

    Inspect the first result, adjust the instructions, and only then put it on a schedule or event trigger. From that point the workflow is a shared asset your teammates can run without rebuilding it.

Common questions about AI workflow automation

Before you automate the first run

What is workflow automation?

Workflow automation connects a trigger, the systems that hold the context, and a defined output so recurring work runs consistently. Rule-based tools follow fixed if-then conditions. Zero runs the same shape as an AI agent, so a run can read unstructured input and still pause for human review before a sensitive action.

What is an agentic workflow?

An agentic workflow gives an AI agent a goal, the tools to reach it, and a definition of a finished result, instead of a branch for every possible case. The agent decides which sources to read and what belongs in the output, then stops at the approval points you set. Every workflow on this page is agentic in that sense.

Which workflows should I automate first?

The AI agents examples that pay off first are the ones that repeat, cross several tools, and end in something a person can verify: inbox triage, sales follow-up, employee onboarding, incident review, weekly reporting, and publishing. The AI automation examples above are all workflows teams run today, not hypotheticals.

How is AI workflow automation different from rule-based automation?

Rule-based business process automation follows fixed conditions and stalls when the input does not fit. AI workflow automation reads unstructured context, compares information across tools, and prepares a report, draft, issue, page, or decision brief within the permissions you set.

Can an AI employee run these workflows without me watching?

Zero runs in the cloud on a schedule or an event trigger and keeps going after you close your laptop, which is what makes it closer to an AI employee than a chat assistant. Supervision is a setting, not a constant: you decide which steps finish on their own and which wait for you.

How do I keep human review in an automated workflow?

Connect only the tools the workflow needs, define read, draft, or write access for each one, and keep sensitive actions behind approval. Review the first result before scheduling future runs. Automated workflows shared with your team carry the same permission rules for everyone who runs them.

Which recurring task should your AI employee run first?

Send Zero the task, source tools, required output, and approval points. Review one run before you schedule the next.

Hand it to Zero