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Case Studies

Real Results. Real Businesses.

Every metric below is real. Every business we worked with gave us permission to share their results. No fluff. No rounded numbers.

HealthcareMelbourne, VIC
67%

fewer missed appointments

Automated patient appointment reminders + billing follow-up

Challenge

A 15-practitioner clinic was losing AUD $28k/month to no-shows and unpaid invoices. Three full-time admin staff spent 60% of their time on manual phone reminders and chasing overdue accounts.

Solution

Built a multi-channel appointment reminder system (SMS + email + WhatsApp) with intelligent timing based on appointment type and patient history. Added automated billing follow-up sequences with one-click payment links.

Result

AUD $180,000 saved per year. No-show rate dropped from 23% to 8%. Two admin staff redeployed to patient-facing roles. Billing collections improved by 34% in Month 1.

Make.comTwilioHubSpotCliniko
We thought we needed to hire another admin. NeuralShift showed us we needed automation. The ROI was obvious within 30 days.

Practice Manager, Melbourne Clinic

RetailSydney, NSW
AUD $240k

saved in Year 1

AI inventory forecasting + supplier automation

Challenge

A 3-location retail chain with 2,000+ SKUs was experiencing monthly stockouts costing AUD $15k+ and overstock tying up AUD $400k in working capital. Manual ordering took 12 hours/week.

Solution

Deployed AI demand forecasting model using 3 years of sales data, seasonal patterns, and local event calendars. Automated supplier purchase orders triggered at smart reorder points. Full Shopify + Xero integration.

Result

99.2% stock availability across all locations. Overstock reduced by 60%. AUD $240k net saving in Year 1. Manual ordering time dropped from 12 hrs to 45 minutes per week.

n8nOpenAIShopifyXeroAirtable
Our stockout problem is completely solved. The system ordered exactly the right stock for the Easter long weekend before I even thought to check.

Head of Operations, Sydney Retail Chain

LegalBrisbane, QLD

faster client onboarding

Document processing + client intake automation

Challenge

A 12-partner law firm was onboarding new clients in 4–6 weeks. Partners spent 30–40% of their time on admin, document chasing, and data entry. Billing for this admin time was inconsistent.

Solution

Built an end-to-end client intake system with AI document extraction, automated conflict checks, digital engagement letter generation, and CRM auto-population. DocuSign integrated for seamless e-signature.

Result

Client onboarding reduced from 6 weeks to 10 business days. 85% reduction in admin time per partner (8 hours/week saved per partner). AUD $95k additional billable time recovered in Year 1.

Relevance AIMake.comClioDocuSignNotion
I was skeptical. I'm a lawyer — I thought AI couldn't handle legal documents properly. I was completely wrong. It's more accurate than manual data entry.

Managing Partner, Brisbane Law Firm

ConstructionPerth, WA
40%

faster project reporting

Project reporting + compliance automation

Challenge

A civil construction company with 20+ active projects was drowning in admin. Project managers spent Fridays writing progress reports. Subcontractor compliance documents were tracked in spreadsheets and frequently out of date.

Solution

Automated daily progress report compilation from field photos, time tracking apps, and site notes using AI narrative generation. Built a subcontractor compliance portal with automatic expiry alerts and document verification.

Result

Reporting time cut from 6 hours/week to 90 minutes per project manager. 100% subcontractor compliance rate achieved. AUD $95k in admin savings. Zero compliance incidents since launch.

n8nOpenAIAirtableProcoreMYOB
Friday used to be report day. Now it's actually productive. And we haven't had a compliance breach since the system went live 14 months ago.

Operations Director, Perth Civil

FinanceMelbourne, VIC

more clients per advisor

Client reporting + compliance automation for financial planning

Challenge

A boutique financial planning firm was manually generating client portfolio reports every month. Each report took 3–4 hours. Advisors were capped at 25 clients each due to admin load. Compliance documentation was inconsistent.

Solution

Built automated monthly report generation pulling from portfolio management systems, adding AI-generated narrative commentary personalised to each client. Automated compliance checklist completion and AFSL documentation.

Result

Each advisor can now service 120+ clients (up from 25). Report generation: 3 hours → 8 minutes. Compliance documentation 95% automated. Firm revenue up 4× with same headcount.

Make.comOpenAIXplanSalesforceDocuSign
We went from 25 to 120 clients per advisor without hiring anyone. The business fundamentally changed. NeuralShift basically gave us our growth path.

CEO, Melbourne Financial Planning

RetailAuckland, NZ
78%

tickets deflected by AI

Customer support AI + returns automation

Challenge

A fast-growing NZ e-commerce brand was receiving 800+ support tickets per week. Support team of 4 was overwhelmed. Response times blew out to 48+ hours. Customer satisfaction was declining fast.

Solution

Deployed an AI support agent trained on product catalogue, return policies, FAQs, and order history. Handles order status, returns, exchanges, sizing queries, and product questions autonomously. Escalates complex issues to humans.

Result

78% of tickets now resolved by AI without human involvement. Response time: 48 hours → under 2 minutes. CSAT improved from 3.2 to 4.7/5. Support team now handles complex issues only — no burnout.

Relevance AIGorgiasShopifySlackMake.com
Our support AI is genuinely better than our old team at handling returns and order queries. Customers are happier and my team is finally not burnt out.

Founder, Auckland E-commerce Brand

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