AI automation for small businesses
How AI automation works (without the jargon)
Flow HQ · · 5 min read
The short answer
AI automation is a workflow with an AI step inside it. Something happens (a trigger), the AI reads or writes something using your own information, and the workflow takes action in your tools — handing over to a person when it should.
The five parts
- Trigger — the event that starts it: a message, an email, a form, a file.
- Context — the information the AI is allowed to use: your prices, policies, past answers, the customer's record.
- AI step — the model reads the input and produces something: a category, extracted details, a summary or a draft reply.
- Actions — normal workflow steps that use the result: update the CRM, send the reply, create a task.
- Hand-off — rules for when a person takes over, and a log of everything that happened.
An everyday example
A customer emails: 'Hi, our order from last week still hasn't arrived — can you check? Order 4417.'
- Trigger: the email arrives in the shared inbox.
- AI step: classified as 'delivery question', order number 4417 extracted, tone 'mildly frustrated'.
- Action: the order status is looked up in your system.
- Action: a reply with the tracking update is drafted and sent (or held for approval).
- Hand-off: if the order is more than a week late, the case is flagged to a person.
Why 'grounding' matters
Left alone, a language model answers from general knowledge and can make things up. Grounding means giving it your own information for each task, and instructing it to say 'I don't know' rather than guess. That's the difference between a toy and a dependable business system.