Case study · Brisbane manufacturing · Client name confidential

Local AI paid for itself in under four months

An anonymised ~25-person CNC manufacturer in Brisbane’s north kept decades of job data on-site — and turned it into quoting speed, less downtime, and six-figure annual savings.

>$150k
Estimated annual savings
<4 mo
Payback on ~$8–12k setup
$85k
/yr from fewer breakdowns
12×
Faster complex quoting

Where the money went — and came back

Investment was a one-off hardware and deployment cost. Returns showed up in labour, machine availability, and bid capacity — not in another monthly AI subscription.

Before local AI

  • Complex quote prep~4 hours
  • Unplanned CNC downtimeBaseline cost
  • Senior staff as “walking wiki”Constant interruptions
  • Cloud AI for shop IPRisk + usage fees

After local AI

  • Complex quote prep~20 minutes
  • Unplanned downtime−45%
  • Knowledge interruptions−70%
  • Production data locationStays on-site

Annual value unlocked

Relative scale of benefits reported ~6 months after go-live (illustrative mix for this engagement).

Combined run-rate
> $150,000 / year

Against a capital outlay of roughly $8,000–$12,000 for hardware and setup.

<4 months
payback

What we deployed

On-site hardware

Dual-GPU workstation class build sized for private inference — not a recurring cloud meter.

Private knowledge base

RAG over CNC logs, PDFs, and job history. Operators ask in plain language; answers stay on the LAN.

Shop-floor access

Chat and optional voice on tablets so people running machines are not hunting network shares.

“Our data is now our superpower, not a burden. No more cloud worries for our IP.”
— Operations leadership, client name withheld

Full write-up: download the whitepaper (Markdown). Outcomes are engagement-specific and not a guarantee for every site.

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