Enquiry to spreadsheet
Every website enquiry becomes a row in a sheet with name, service and date, plus a message to your phone.
If you copy the same information between two apps every day, software can do it for you. With AI in the middle, it can read and draft as well.
Every small business has jobs that are pure copying. A form arrives, so you type the details into a spreadsheet. An invoice is paid, so you send a thank-you. A booking comes in, so you add it to the calendar. Automation tools do this for you. You set a trigger (something happens in one app) and one or more actions (things that should then happen in other apps).
AI adds a step that used to be impossible: reading. An automation can now read an incoming email, work out whether it is an enquiry, a complaint or spam, pull out the name and date, and write a draft reply. That is the difference between moving data and handling it.
Links go to each provider. All four have free plans or trials.
If nobody in the business is technical, start with Zapier. If you outgrow it or the bill climbs, Make is the usual next step. n8n suits a business with a developer or an IT partner. All of them have a free plan that is enough to build and test your first workflow.
Choose a trigger, an AI step and an action to see the workflow and how to set it up.
1. When this happens
2. Let AI
3. Then do this
Every website enquiry becomes a row in a sheet with name, service and date, plus a message to your phone.
AI reads each enquiry and saves a draft reply in your mailbox. You edit and send.
Seven days after an invoice is due, a polite reminder goes out. Paid invoices are skipped.
Actions from your meeting notes become tasks with an owner and a date.
A new review arrives, the team is told, and a draft response is prepared for you to approve.
Every Friday, a short email: enquiries received, jobs booked, invoices outstanding.
Describe the job in one sentence: “When X happens, do Y.” If you cannot, it is not ready to automate.
Use a pretend enquiry and your own email address until every step works.
Start with drafts and notifications. Let it send by itself only after weeks of correct results.
Look at the run history weekly. Automations fail quietly when an app changes.
An AI agent is an assistant that is given a goal and tools, and decides its own steps: read the inbox, look up the customer, check the calendar, write the reply. Zapier, Make and n8n all offer agent features, and so do the main assistants.
Agents are useful and still unpredictable. A fixed workflow does the same thing every time; an agent may not. For a small business the safe pattern is: fixed workflow for anything that sends, pays, deletes or books, and agents for research and preparation where a person reviews the result.
If you would rather have this built and looked after for you, that is part of what we do: see AI integration and custom software.
All seven guides: AI for business, the full series.
Short answers, in plain English.
Zapier is the usual starting point: it connects the most apps and needs no code. Make is a close second and often cheaper once you run many workflows.
No. Zapier, Make and Power Automate are built for people who do not code. n8n is friendlier to technical users.
An automation follows fixed steps every time. An agent is given a goal and chooses its own steps. Automations are predictable; agents are flexible and need more supervision.
The job you do most often that involves copying information from one place to another, such as website enquiries into a spreadsheet with a notification.
We connect AI to the tools you already use, safely, and show your team how to use it. You’ll hear back within one working day, from the person who will do the work.