AI Automation · Guide

Workflow Automation Technology: What Sits Under the Interface

What it is Workflow automation technology runs the triggers, rules and actions that move work between apps without a person. It covers the mechanics under the interface of a flow, not what workflow automation is or how platforms are sorted into categories.
Read this if You build or buy automations for prospecting and want to know what runs them underneath.
Skip it if You only need the definition of the term, or a ranked list of platforms to compare.

Last updated on · written from the review set and vendor pages; the oldest reading dates from .

Step 1 · Understand it

Where it sits in the process

Before it, this page, after it. Check you are on the right step before reading on; a link opens the guide when one exists.

Before Workflow automation The task is defined and the steps are set, before any engine runs it. Read →
This page Automation engine Triggers start a run, rules choose the path and actions do the work.
After Error handling A failed run is logged, retried or passed to a person.
After Lead routing The result lands in a CRM or an inbox for the sales team.
Not to be confused with ✕ RPA: replays a person's clicks on screen, not system calls ✕ Chatbots: answer a question, do not carry a task through steps
Step 1 · Understand it

How it works

4 things to remember. Each card states one; the line under it is the detail.

A trigger is the event that starts a run of the workflow

It can be a form entry, a webhook call or a set time; in prospecting, a new lead can start the chain.

Rules decide which path a run takes, using the data it carries

Each rule is an if-then test on a field, such as whether a lead has an email; the run follows the branch that matches.

Actions are the calls that act on other apps through their APIs

An action can create a contact, send a message or fetch data; the flow passes each result on to the next step.

Where a model joins the flow, it reads free text and picks a branch

A fixed rule matches set values; a model can classify a reply, then hand the result to the same rules and actions.

Step 2 · Check it applies

Does it apply to you?

Tick what is true for you. Each line is a case where a tool changes nothing.

A wrong rule repeats itself at scale; a person can notice the case that does not fit.

A flow passes on whatever it receives, so a wrong field or duplicate lead reaches every later step.

Building and testing a flow can take longer than doing a rare task yourself, so leave it manual.

A flow that stops partway leaves leads half-processed until someone looks at its run log.

Tick the lines that describe you.

At least one of these is true for you: fix that first. No tool changes it.

None of these is you. The term applies to your situation.

Step 3 · See the tools

The tools people mean by this

Grouped by function, not ranked. A tile opens our review; Try goes to the vendor.

Alphabetical within each group. No ranking implied. 10 of the 54 tools we score in AI Automation.

Go further

Related questions

A trigger starts the run, rules pick the path from the data and actions do the work in other apps. Together they move a lead between apps.

RPA replays a person's clicks on a screen, even in apps with no API. Workflow automation calls systems directly, so a changed screen matters less.

An iPaaS tool connects apps and moves data between them; a workflow platform adds the logic and choices around the flow, though many products do both.

AI adds a step that reads free text, such as a prospect's reply, and sorts it; the triggers, rules and actions around that step stay the same.

The run stops at the failed step while earlier steps usually stay done. A good setup logs the error and retries or alerts a person.

Leave rare tasks and judgement calls to a person, such as a sensitive reply to a prospect; automate the repeated steps around them.

Where to go from here

This page explains a term; it does not score tools.

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