Glossary

The workflow that thinks
between the steps.

Classic automation asks you to predict every branch before you start. An agentic workflow starts from the outcome and handles the branches as they come. Here's the difference, precisely.

Read the definitionAll terms
00

The plain definition.

An agentic workflow is a multi-step process carried out by an AI agent that decides and adapts the steps as it goes - reading context, choosing tools, handling exceptions - rather than a pipeline of fixed trigger-action rules. The person defines the outcome and the boundaries; the agent works out the route each time it runs. The contrast is with classic workflow automation, where every branch must be wired in advance and anything unanticipated breaks the run.

The practical difference shows up at the edges. Classic automation is brilliant for stable, high-volume, deterministic paths - when a form is submitted, add a row. Real team workflows are rarely that clean: the invoice number is missing, the reply is ambiguous, this week's report needs an extra section. An agentic workflow absorbs those edges because a model is making judgement calls at each step - and a well-built one escalates to a human when the call isn't its to make.

01

How it works.

What actually changes when a workflow becomes agentic:

01

Outcome in, route decided at run time

The workflow starts from a goal - "get sign-off on the brief" - and the agent plans the steps against how things actually stand today.

02

Steps that read, not just fire

Each step can interpret - what the reply meant, whether the data looks right - instead of pattern-matching a trigger.

03

Exceptions handled in-line

Missing data, a bounced email, an out-of-office: the agent reroutes, retries or asks, where a fixed pipeline would silently fail.

04

Humans at the consequential steps

Well-built agentic workflows put approval gates where actions leave the building - the human-in-the-loop pattern.

02

Not to be confused with.

Three older automation ideas sit next to this one. The distinctions that matter:

Agentic workflow vs workflow automation

Zapier-style fixed trigger-action paths, wired by hand. Unbeatable for deterministic plumbing; brittle the moment a step needs reading or judgement.

Agentic workflow vs RPA

Robotic process automation drives software UIs the way a human would - clicks and keystrokes on rails. Strong in legacy systems, but the rails are the point: no judgement between steps.

Agentic workflow vs AI agent

The agent is the worker; the agentic workflow is the job it runs. One agent can run many workflows - a workflow names the repeatable shape of one job.

Read the full definition

Automation asks you to predict every branch in advance. An agentic workflow asks you to define the outcome - and handles the branches as they come.
03

Where Beagle fits.

Beagle's recurring jobs are agentic workflows briefed in plain language:

01

Recipes, run by a teammate

The workflows catalogue lists the recurring jobs teams hand Beagle - each one an agentic workflow described in a sentence, not a flowchart.

02

No pipelines to babysit

There's nothing to wire or maintain: describe the job and the boundaries in the channel, and adjust it the same way.

03

Gates where they belong

Every outbound step waits for a nod, so an adaptive workflow never means an unsupervised one.

04

Common questions.

What is an agentic workflow in simple terms?

It's a recurring multi-step job done by an AI agent that figures out the steps each time - reading the situation, using the right tools, coping with surprises - instead of running a fixed script. You describe the outcome; it handles the route.

What's the difference between an agentic workflow and automation?

Automation executes a path you wired in advance and fails when reality deviates from it. An agentic workflow decides its path at run time, so the missing field or the odd reply becomes a judgement call rather than a broken run. Automation still wins for stable, deterministic plumbing.

When is classic automation the better choice?

When the path truly is fixed and high-volume: syncing a form to a spreadsheet, firing a webhook, copying a record. Deterministic plumbing is cheaper, faster and perfectly reliable there. Agentic workflows earn their keep where steps need reading, judgement or exception handling.

Do I need to build agentic workflows myself?

Not with the coworker kind. With Beagle you brief the job in plain language in your channel - what, when, and the boundaries - and adjust it the same way. There's no canvas of nodes to design or maintain.

What are examples of agentic workflows?

The weekly client report: pull the numbers, notice what's missing, draft the narrative, hold for approval. Meeting follow-ups: turn the call into a recap, tasks and a drafted email. Invoice chasing: check what's outstanding, draft the reminders, escalate the awkward one to a human. Same shape weekly; different route every time.

Brief the job,
skip the flowchart.

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