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Automation

Connect the work.

Learn how automation connects triggers, AI, logic, databases, email and business tools into practical workflows that reduce repetitive work.

The core model

Trigger → Logic → Action.

Most useful automations can be understood through these three layers. Something starts the workflow, the system determines what should happen, and one or more actions produce the result.

Trigger · Form

Form submission

A form is one of the simplest ways to start an automation. Someone provides information and that submission becomes the input for the workflow.

For example, an enquiry form could capture a name, email address and request before sending the information into an AI classification step.

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Trigger · Email

New email

Incoming email can become the starting point for a workflow. The system can identify the message, extract useful information and decide what should happen next.

This is useful when messages follow predictable patterns, such as enquiries, notifications or routine requests.

Explore the logic layer →
Trigger · Schedule

Scheduled workflows

Some work does not depend on another person doing something first. A scheduled trigger can start a workflow at a defined time or interval.

Examples include recurring reports, content preparation, reminders and routine data processing.

Explore automation actions →
Trigger · Webhook

Webhooks

A webhook allows one system to send an event or payload into another workflow. This creates a direct connection between applications.

Webhooks are particularly useful when an application needs to tell an automation platform that something has happened.

Explore system stacks →
Trigger · Payment

Payment events

A successful payment can start fulfilment, notifications, access management or customer follow-up.

This turns a transaction into the first step of a larger customer workflow.

Explore actions →
Trigger · Database

Database changes

A new or updated record can start another process. This is useful when a database is acting as the central source of information for a workflow.

Explore logic →
Logic · Conditions

Conditions

Conditions allow an automation to make a simple decision based on information already available in the workflow.

For example: if an enquiry is marked as urgent, route it one way. If it is not urgent, use another path.

Explore routing →
Logic · AI

AI classification

AI can analyse information that is difficult to handle with simple rules. It can classify messages, extract useful information or identify the likely intent behind an enquiry.

This creates a bridge between traditional automation and more flexible AI-powered workflows.

Logic · Routing

Routing

Routing sends different types of information to the appropriate destination.

A sales enquiry could go to one workflow, a support request to another and a general question to a different response path.

Explore actions →
Logic · Data

Data transformation

Data often needs to be cleaned, formatted or reorganised before another application can use it.

Transformation might involve changing formats, combining fields, extracting values or preparing information for another system.

Explore system stacks →
Action · Email

Send an email

An automation can send a response, notification, confirmation or follow-up after the workflow reaches the appropriate point.

This is particularly useful when the message follows a predictable pattern but still needs to be triggered by a specific event.

See a real workflow →
Action · Database

Update a database

The workflow can create a new record or update an existing one so that information is stored centrally.

This avoids manually copying information from one tool into another and creates a record that other workflows can use later.

Explore Stacks →
Action · CRM

Update a CRM

Customer and lead information can be created or updated automatically when the workflow has enough information to do so.

This can help keep customer records consistent across the wider process.

Explore Systems →
Action · API

API and webhook actions

An API or webhook can pass information from one application to another, allowing separate services to become part of the same workflow.

This is one of the foundations of more advanced connected systems.

Explore system stacks →
Example · Lead capture

Form → AI → database → email → follow-up.

This is the recommended example from the original automation page, expanded into a complete workflow.

Trigger

Form submission

A visitor submits their name, email address and enquiry.

Logic

AI classification

AI analyses the request and determines which route the enquiry should follow.

Action

Store and respond

The record is saved and an appropriate email is sent.

A follow-up task can then be created so that a person only needs to step in where human judgement is required.

Example · Support

Customer enquiry workflow

A support workflow can receive an incoming request, classify it and route it to the appropriate response path.

Straightforward requests can follow a prepared process, while more complex cases can be escalated to a person.

Explore AI Agents →
Example · Content

Content workflow

Content information can move through a repeatable process instead of being manually copied between planning, production and publishing tools.

AI can assist with parts of the process while automation handles movement between systems.

Example · Admin

Repetitive administration

Administrative tasks often involve repeated data entry, copying information, checking records and sending routine follow-ups.

These are strong candidates for automation when the process is predictable and the rules are clear.

Explore Solutions →
Build the system

Automation is one layer of a bigger system.

Once the workflow works, connect it with the wider system: AI, agents, tools, data and the business outcome you're trying to achieve.

Continue

From automation to opportunity.

Once you understand how workflows work, the next question is what useful system you can build around a real problem.