AI automation servicesLess chasing.
More moving.

SynergAI provides AI automation services for Australian businesses. We connect the enquiries, quotes, bookings, follow-up and admin that move between your people and the tools you already use.

AI automation is business process automation in which an AI model handles some of the steps. Software carries recurring work from one step and one tool to the next, so nobody retypes, chases or copies it by hand, and an AI model reads or drafts where a fixed rule cannot. When those steps run as one connected sequence, it is often called AI workflow automation. Most workflows split into three kinds of step.

When the context changes from case to case and the job needs business knowledge, a custom AI agent may fit better than a workflow. We will tell you if it does.

Not every process is worth automating, and some are not ready yet. For small and mid-sized Australian businesses, the first workflow should be frequent, well understood and easy to check. This is the test we use.

A good first candidate:

• It happens every day or every week.
• The steps are already known, and most people do them the same way.
• The information arrives digitally: email, web form, CRM, job system.
• Someone can check the result before anything is sent or changed.
• A mistake can be caught and fixed without lasting damage.
• One person owns the workflow and can say what a correct result looks like.

Leave it for later when:

• The process differs by person and nothing is written down.
• The same customer or job lives in two systems that disagree.
• The process changes from month to month.
• It happens a few times a year.
• A wrong action would be costly or legally serious, and nobody can review it before it happens.
• Nobody is accountable for the result.

A workflow that fails this test today can pass later, once the process is written down and one person owns it.

Savwinch, a paid client, is an Australian marine equipment business. The documented work covered quoting and catalogue workflows, enquiry follow-up, role-specific workspaces and connections between commercial tools. A lead flow carries incoming enquiries into organised sales follow-up in Zoho CRM, with visible ownership. Business Brain workspaces, role-specific AI workspaces set up around the team’s own knowledge, give each role the business information and access appropriate to its work. Custom integrations connect Zoho Inventory, Xero and Airwallex, so the team can see stock and purchasing in one place. This is a qualitative account, and no time or response results are claimed. Inside the work

The first conversation is free, 20 to 30 minutes, and looks at one workflow, the tools involved and the sensible next step. Each paid stage after that is scoped and agreed in writing, and you decide at the end of each one whether to continue. If the workflow is understood well enough to price, a fixed-scope pilot builds and tests it against your own examples, with approval points agreed before any live action. If it still needs mapping, a paid Workflow Audit may come first. If you are still deciding where AI fits in your business at all, start with AI consulting, which sets out each stage in detail.

What we need from you

• A person who owns the workflow and can say what a correct result looks like.
• Recent examples: enquiries, quotes or job records, including the awkward ones.
• Access through appropriately scoped accounts.
• Decisions on what must be approved before anything is sent or changed.

Every workflow we build runs inside agreed permissions, with actions that need judgement waiting for a named person and a record of what each run did that you can check. The governance rules, and how access and personal information are handled, are set out on AI consulting.

Four questions worth putting to anyone offering an AI automation service, about the build itself.

• Where will the workflow be built and tested? The answer should include a test or limited-access environment, and a run against your own past examples before anything touches live records.
• Which actions wait for a person before they happen, and is each permission to draft, send or change a record tested on its own?
• What does each run record, who in your business can see it, and how will anyone know if a run fails or a connected tool changes its integration?
• What do you receive at handover: operating guidance, known limits, who owns each step, who holds the n8n, Make or Zapier workspace, the API keys and the AI model account, and whether the workflows can be exported?

The wider questions, about the advice itself and who gives it, are on how to choose an AI consultant. For our builds, the environment, access, approval points and what each run records are agreed in the scope before any live action, and how access and exports are handed back when support ends is agreed for each engagement.