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AI automation and workflow automation in Sydney
We connect your website to the tools your team already uses, then let AI handle the sorting, drafting and chasing, so work moves without being copied by hand.
- Enquiries, quotes, bookings and follow-ups that run on their own
- Built on your existing website, CRM and accounting tools
- A person approves anything that touches money or customers
Organisations we have worked with
What AI automation means for a business website
Most businesses run on a handful of tools that do not talk to each other: a website form, an inbox, a CRM, a spreadsheet, an accounting package. People fill the gaps by copying and pasting. AI automation closes those gaps. A workflow watches for a trigger, such as a new enquiry, moves the data to where it belongs and uses AI for the steps that used to need a person to read and decide.
Web Mage is a web development agency in Sydney, so we start where most of that work begins: your website. We build workflow automation that takes what arrives through your forms, store or bookings and carries it through to the reply, the record and the report.
We are developers, not a tool reseller. Sometimes the right answer is an AI agent, sometimes a few hundred lines of code on your own hosting, and sometimes it is to leave a process alone. You will hear which one, and why.
AI automation services we build
Six workflows businesses ask about most. Each one starts from your website or store.
Enquiry handling
New enquiries are read, tagged by service and urgency, added to your CRM and answered with a first reply your team has approved.
Quotes and proposals
Form answers become a draft quote or proposal in your own template, ready for a person to check and send.
Bookings and reminders
Bookings land in the right calendar, with confirmations, reminders and follow-ups sent on schedule.
Order and stock updates
Orders flow from your store to accounting, shipping and stock, and customers hear about delays before they ask.
Reports that write themselves
Leads, sales and search data gathered each week into one plain-English summary in your inbox.
AI agents and assistants
Assistants that answer from your own content, and agents that complete set tasks inside limits you define.
Which tasks are worth automating
Not every task should be automated. A workflow earns its cost when the task is frequent, follows rules you can write down and causes real trouble when it is late or forgotten. Good candidates turn up in almost every business:
- Website enquiries that sit unanswered overnight or across a weekend.
- Details typed twice, once from an email and again into the CRM or job system.
- Quotes that follow the same structure every time.
- Review requests, renewal reminders and follow-ups that rely on someone remembering.
- Monthly reports assembled by hand from four different logins.
Poor candidates are tasks that happen twice a year, change every time or depend on judgement you would not hand to a new staff member. If yours is one of those, we will say so in the first conversation.
How we build AI automation: Claude, Claude Code and AI agents
We build automation the way we build websites: as code a developer can read, test and improve, with AI doing the heavy lifting. The stack we work in:
- Claude for the steps that need language and judgement: reading an enquiry, sorting it, drafting the reply or the quote.
- Claude Code to write and maintain the workflow itself, so each automation is real code in your repository, reviewed by a developer, not a chain of boxes nobody can audit.
- AI agents for jobs with several steps, such as checking a site every morning, preparing a report or working through a queue, each with the access one task needs and no more.
- Automated deployment pipelines. An editor publishes in a modern CMS such as Sanity, the Astro site rebuilds, the checks run and the change goes live on a global network, with no one pressing a button.
- Your platform's own features where they already do the job. WordPress, Shopify and HubSpot automate more than most owners realise.
The AI steps run through business APIs, not a consumer chat account. The accounts, the workflows and the code are yours.
Keeping people in control of AI automation
Automation that runs unchecked creates new problems faster than it removes old ones. Every workflow we build has:
- An approval step before anything goes out that involves money, a contract or a sensitive reply.
- A log of what ran and what the AI decided, written so you can read it.
- Alerts when a step fails, so a broken connection does not go unnoticed for weeks.
- Limits on what an agent can reach. It gets the access one task needs and nothing more.
- Privacy rules in line with the Australian Privacy Principles, including where data is processed.
We also document how each workflow works, so changing it later does not depend on us.
What affects the cost of AI automation
Each automation is quoted after a short discovery, because the effort depends on a few things: how many systems are involved and whether they have a usable API, how many exceptions the process has, how much checking the AI steps need, and whether the workflow runs on a platform with its own monthly fee.
Most clients start with one workflow that solves an obvious problem, watch it work, then add the next. That keeps the first step small and proves the value before you commit to more.
How an AI automation project runs
Map the process
We walk through the task as it happens today, exceptions included, and agree what "done" looks like.
Build one workflow
A working version on test data, so you can watch each step run before it touches a real customer.
Test with real cases
Past enquiries or orders go through it. We tune the AI steps and add approvals where they are needed.
Launch and extend
It goes live with alerts and a log. Once it has proved itself, we plan the next workflow together.
Clients on working with our developers
Words from people we have built and looked after websites for.
We are thankful to webamge and the team for great technical services. They have crafted our backend which we have designed at DesignDavey for our clients. We would like to recommend webmage for all the web development projects, no matter how complex it is. And they are also expert in the field of online marketing.
Sean AleyStudio Manager, Design Davey Most importantly, I had a need for a purpose built calculator that is industry specific & needed to be built around my own calculation formula. They successfully built it where other companies said it was too hard!
Peter GoodchildOwner, Primo Clean They are fantastic with the technical and coordination capabilities to deliver the desired product. They took charge of the project from day 1 and handed over before the agreed date. Exceptional communication, professionalism and work ethics; we will definitely use them again for any web-related projects we might and highly recommend them for their service.
Gaurab BhandariAPSPT AI automation: frequently asked questions
What is AI automation?
AI automation is software that completes a business task from start to finish, using AI for the steps that need reading, sorting or writing. A typical example: a website enquiry is read, categorised, added to the CRM and answered with a tailored first reply, without anyone copying data between systems.
What is the difference between workflow automation and AI automation?
Workflow automation follows fixed rules: when this happens, do that. AI automation adds steps that handle language and judgement, such as working out what an email is asking or drafting a reply. Most useful systems combine both, with rules for the predictable parts and AI for the rest.
I want easy workflow automation for my business. Where do I start?
Start with one task that happens every day and frustrates your team, such as replying to website enquiries or re-keying orders. Write down the steps and the exceptions. That single workflow is usually enough to show whether automation pays off before you spend more.
Can you automate my existing website, or do I need a new one?
In most cases we work with the website you have. WordPress, WooCommerce and Shopify all connect to automation tools, and so do most CRMs and accounting packages. If the site is too old or too locked down to connect, we explain the options before any work starts.
Which tools do you use for workflow automation?
We build mainly with Claude for the language steps, Claude Code to write and maintain the workflow code, and AI agents for multi-step jobs. Websites sit on a modern stack: Astro, a headless CMS such as Sanity and an automated deployment pipeline. You own the accounts and the code, and can see how each workflow is built.
What is an AI agent, and does my business need one?
An AI agent is software that works through a task in several steps on its own: it reads, decides, uses a tool and checks the result. Most businesses do not need one to start. A single well-built workflow is usually the better first step, and an agent makes sense once a job has too many branches for fixed rules.
Is AI automation safe for customer data?
It can be, when it is designed that way. We send only the data a step needs, use business AI services under terms that keep your information out of model training, keep logs and add human approval for sensitive actions. Workflows that handle personal information are checked against the Australian Privacy Principles.
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Which task would you hand over first?
Tell us the job your team repeats most. We will say whether it is worth automating and how we would build it.
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