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Real Results

AI Automation Case Studies
for Melbourne Businesses

These are real implementations — real problems, real workflows, real outcomes. No stock photos, no fabricated metrics.

Finance & AccountingXero Automation

Xero Pipeline Automation for a Melbourne Accounting Firm

The Problem

A Melbourne-based accounting firm was manually reconciling transactions, chasing client documents via email, and spending 12+ hours per week on data entry into Xero. Staff were overwhelmed during tax season and key data was frequently delayed or missing.

The Solution

We built an end-to-end automation pipeline using Make.com that connected their client portal, Google Drive, and Xero. When a client uploaded a document, it was automatically classified, the relevant Xero entry was created or flagged, and the client received a confirmation — all without staff involvement.

12+
Hours saved per week
80%
Faster document processing
3 FTE
Staff time reallocated to advisory work
"We used to dread tax season. Now our pipeline runs itself and we can focus on actual client advice."
Sales & CRMSalesforce Build

Salesforce CRM Build and Lead Automation for a B2B Services Business

The Problem

A B2B services company had no structured CRM. Leads came in through multiple channels — LinkedIn, email, website forms — and were tracked in spreadsheets. No follow-up cadence, no pipeline visibility, and deals were regularly falling through the cracks.

The Solution

We designed and built a full Salesforce implementation from scratch: custom objects for their service lines, automated lead capture from all inbound channels, a structured follow-up sequence with timed tasks, and a dashboard giving leadership real-time pipeline visibility.

3x
Increase in lead response rate
100%
Deals no longer falling through cracks
8
Hours of manual tracking eliminated weekly
"For the first time we actually know where every deal stands. The pipeline visibility alone changed how we run our sales meetings."
HealthcareAI Medical Scribe

AI Scribe Implementation for a Melbourne Medical Centre

The Problem

GPs at a Melbourne medical centre were spending 30–45 minutes per day on post-consultation documentation — writing up clinical notes, updating patient records, and generating referral letters. This time was coming directly out of patient-facing hours.

The Solution

We implemented an AI-powered medical scribe workflow that transcribes consultations in real time, generates structured clinical notes in the correct format for their practice management software, and drafts referral letters for GP review. The GP reviews and approves — the AI does the writing.

−35 min
Documentation time per GP per day
+4
Additional patients seen per week
90%
Reduction in after-hours admin
"I'm not spending my evenings catching up on notes anymore. The AI drafts everything — I just review and sign off."

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