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AI Automation Case Studies | Real Results | AI Answers
Mining & Resources In Production

14,000 compliance requirements, audited automatically, every single day.

A mid-size mining services operator was spending $80K+ per year on manual compliance auditing: slow, error-prone, and constantly at risk of missing legislative changes. They needed a system that could keep up with 14,000 regulatory requirements without a team of people watching it.

$80K+
Anticipated annual savings
14,000
Requirements audited daily
24hr
Legislation change monitoring

The Problem

Manual audit process costing $80K+ per year in labour and consultant fees
14,000 regulatory requirements: impossible to audit thoroughly by hand
Legislation changes frequently, creating constant risk of non-compliance
Errors and gaps in manual audits exposed the business to regulatory risk
Key compliance knowledge concentrated in one or two people

What We Built

AI compliance engine that audits documentation against all 14,000 requirements daily
Automatic monitoring for legislative changes with flagging and alerts
Enterprise-grade security protocols throughout
Clear reporting dashboard showing compliance status, gaps, and recent changes

The Result

$80K+ annual audit cost anticipated to be eliminated
Every requirement audited daily, not quarterly or annually
Legislative changes caught within 24 hours, not weeks or months
Compliance no longer dependent on any single person’s knowledge
Audit-ready documentation available on demand
IndustryMining & Resources
Timeline8 weeks to production
ApproachPOC then full build
StatusIn production
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Transport & Logistics Deployed

After-hours breakdown recovery, fully automated 24/7, without a single staff member on call.

A fleet operator needed after-hours breakdown coverage but couldn’t justify the cost of overnight staff. Drivers were stranded, calls were missed, and recovery coordination was slow and manual. They needed a system that could handle the entire process from the driver’s first call through to a confirmed tow.

24/7
Breakdown coverage
0
After-hours staff required
100%
Calls answered and actioned

The Problem

Drivers stranded after hours with no one available to take the call
Missed recovery jobs and unacceptable response times
Manual coordination between drivers, client database, and recovery centres
Staff required on-call to manage every breakdown: costly and unsustainable
Customer satisfaction and driver safety both at risk

What We Built

AI phone agent that answers every call and captures location and breakdown details
Automatic lookup against client database to verify coverage status
Payment link sent to non-covered drivers before recovery is dispatched
Agent contacts recovery centres and organises the tow automatically
Driver receives confirmation and tow driver contact details immediately

The Result

24/7 breakdown coverage without a single after-hours staff member
Every call answered and actioned, zero missed breakdowns
Faster response times, safer and better-supported drivers
Full audit trail of every breakdown event for reporting and compliance
On-call staff costs eliminated entirely
IndustryTransport & Logistics
Timeline4 to 6 weeks
ApproachProof of concept
StatusDeployed
Got a similar problem? Talk to Andy Free 30-minute chat, no obligation

Common questions about these projects

A few things people often ask after reading our case studies. If you’ve got a question that isn’t here, the fastest way to an answer is a free 30-minute chat with Andy.

How long does an AI automation project actually take to deliver?
Most proof-of-concept projects are delivered in 2 to 6 weeks. Full builds — like the mining compliance engine, which took 8 weeks to production — are scoped in clear phases with milestones agreed upfront. We’d rather move at a pace that gets it right than rush something that breaks under real-world load.
How much do projects like the ones in these case studies cost?
First projects typically run between A$3,500 and A$8,000 for a tightly-scoped proof of concept. Larger production builds are quoted in stages once the POC has proven value. Many projects also qualify for the Australian R&D Tax Incentive — up to 43c back per eligible dollar — which can materially reduce net cost.
Do these results apply to smaller businesses, or only large operations?
The mining and transport case studies are mid-sized operators (50 to 200 staff), but the underlying patterns — eliminating manual paperwork, automating after-hours coverage, integrating disconnected systems — apply equally to smaller teams. The investment scales with scope. A 10-person operation might automate one workflow for A$3,500; a 200-person business might run a multi-phase program over a year.
Our systems are old and don’t have APIs — could we still get a result like these?
Yes. Both case studies above involved integrating with systems that weren’t built for modern automation. We’ve worked with software that has no API, runs behind firewalls, requires manual portal logins, or uses CAPTCHAs. Custom scrapers, browser automation, and middleware layers all sit in our toolkit.
Are these case studies based in Queensland or do you work nationally?
AI Answers is based in Queensland. We work with clients across Brisbane, the Sunshine Coast, and the rest of Queensland, and remotely with businesses across Australia. Andy is happy to visit on-site for Queensland clients when needed.
What happens after the first project is delivered?
That’s entirely your call. The mining client moved from POC to a full multi-phase build. The transport client kept the breakdown agent running and is now scoping a second project. Some clients put us on a monthly retainer; others come back every few months with a new problem to solve. We’re a partner, not a vendor.

Got a problem that sounds familiar?

Every project starts with a free 30-minute conversation with Andy. No jargon, no pressure, just a practical chat about what makes sense for your business.

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