Small-business AI automation should reduce repetitive handling while keeping mistakes visible. Map the task, test representative inputs and keep a person in control of consequential actions before expanding.
Most small businesses have a job that gets done the same way every week. Replying to enquiries. Chasing quotes. Copying details from a form into a spreadsheet. AI automation hands that job to a workflow, so it happens without someone remembering to do it.
We start with one task. We map the steps, build the workflow on tools you already use where possible, and test it with real examples before it runs.
By default a person approves anything that goes to a customer. The only exceptions are ones you agree to in writing first, such as an automatic acknowledgement that an enquiry was received. If something fails, you get an alert. If the workflow creates more checking than it removes, we simplify it or switch it off.
Every workflow we build comes with these six things, whichever package you choose.
We write down what starts the task, what information arrives, what happens next, who approves it and where it ends up. This often shows a simpler fix before any AI is added.
We connect your existing tools, such as your form, inbox, calendar or spreadsheet, using a connector like Zapier or Make. An AI model such as Claude or ChatGPT is added only where reading or drafting text helps.
Drafts wait for a person. Your team reads the reply, quote follow-up or summary, edits it if needed and sends it. Nothing reaches a customer just because the draft sounds confident.
Before the workflow runs, we test it on real past examples, including the awkward ones: missing details, duplicates and unclear requests. You see the results and approve the go-live.
When a tool is down or an input does not fit, the item goes to an exception list and someone is told. Work is not lost quietly in the background.
You receive simple instructions covering what the workflow does, how to pause it, who to contact and what to check each week. We walk your team through it.
These are the practical gains to expect when one task is automated carefully.
Enquiries and follow-ups are picked up as they arrive, instead of when someone finds a spare hour. Your team still reads each draft and decides what gets sent.
The same steps run in the same order each time. Required details are checked, records are filed in the same place and the reply follows wording you have approved.
Approval steps, logs and alerts mean you can see what the workflow did and where it struggled. Problems show up early, while they are still small and cheap to fix.
Where possible we build on the email, forms, calendar and accounting tools you already pay for. That keeps new subscriptions down and means your team works in familiar places.
We record how the task runs today, then compare handling time, exceptions and rework after the change. You decide whether to keep it based on your own numbers, not our opinion.
Starting with one task keeps the cost and risk contained. If it works, you have a pattern to repeat. If it does not, you have lost little and learned plenty.
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Send a short enquiry about your business, your current website and what is getting in the way.
Our team calls to understand your customers, your goals and which package fits.
You get a written proposal with a clear scope and quote before any work starts.
We build, you review and approve, and we launch together. Then we show you how to edit it.
We use the minimum customer information the task needs, and we check the data settings and terms of each tool before it is connected. Private customer details do not go into a public AI tool by default. Your privacy obligations depend on your business, so check the OAIC guidance or ask your adviser if you are unsure.
We recommend the tool accounts sit in your name, and the proposal records who owns and pays for each one. Payments, refunds, access changes and advice stay with a person. If you choose ongoing support, we monitor the workflow and fix it when a tool or your process changes.
Three ways to start. Pick the one that fits and we will quote it.
One task automated
You have one repeated job that eats time every week.
Scoped after a short call
Get a quoteRecommended
Workflow review and build
You want to find the best places for AI across the business first.
Scoped after discovery
Get a quoteAutomation plus ongoing support
You want workflows monitored, fixed and extended over time.
Ongoing
Get a quoteNo prices here on purpose. Every business is different, so we quote after a short discovery call and send a written proposal.
The practical detail owners ask about once they are serious.
Write down the trigger, information received, action, approval and destination. Count the current time and exceptions. A rule-based integration may be enough; use AI where interpreting or drafting text actually helps.
An illustrative enquiry workflow checks required fields, prepares a summary and drafts a reply for approval. Duplicate records, missing details and failed integrations go to an exception queue. Nothing is sent merely because an AI draft sounds confident.
Agree account ownership, tool subscriptions, permissions, test cases, failure alerts and operating instructions. Record who monitors failures and changes the workflow when the business process changes. Do not send passwords in an initial enquiry.
Use approved tools and the minimum necessary data. Do not put private customer information into a public AI tool by default. Payments, access changes and consequential advice need appropriate controls and human judgement.
Compare time per completed task, exceptions, rework and software costs with the recorded baseline. Test difficult as well as ordinary cases. Stop or simplify the workflow if supervision costs outweigh the benefit.
Straight answers. If yours is not here, ask us directly.
It is a set of connected steps that runs a repeated task for you. A trigger starts it, such as a new enquiry. The workflow gathers the details, an AI model drafts or summarises where that helps, and a person approves the result. Many steps use simple rules and need no AI at all.
We start with the tools you already have. Workflows are usually joined by a connector such as Zapier or Make, with an AI model such as Claude or ChatGPT for reading and drafting text. We choose tools to suit the task and your data, and list each one with its subscription in your proposal.
We recommend you do. Tool accounts are best set up in your business name, with us given access to build and support the workflow. The proposal records who owns and pays for each account. You keep the written instructions, so someone else could run the workflow if needed.
We use the minimum information the task needs and check the data settings and terms of each tool before connecting it. Private customer details are not put into a public AI tool by default. Your obligations depend on your business, so we suggest checking the OAIC guidance on privacy for your situation.
Not unless you decide it should. By default a person approves anything sent to a customer. A simple acknowledgement, or an agent you have authorised for one defined job, can reply without approval only where you have agreed that in writing. Some owners later allow simple, low-risk messages to go automatically, such as a note confirming an enquiry was received. Payments, refunds, access changes and advice stay with a person.
It depends on the task and the tools involved, so we do not quote a timeframe before understanding the job. After a short discovery call you receive a written proposal with the scope and timing. Nothing starts until you approve it. Testing with real examples is part of the timeline, not an extra.
Then we say so. We compare handling time, exceptions and rework with how the task ran before. If supervising the workflow costs more than it gives back, we simplify it or switch it off. Sometimes the mapping shows that a simple rule or a tidier process is the better answer.