Case studies
What AI did inside real businesses
Ten real jobs, start to finish. What was broken, what we built, and what changed.
Across the ten
$233k
the biggest single find: revenue sitting in a pipeline nobody owned
Old leads called, day one362
Monthly losses reversed$15k
Contacts sorted15,000+
Ads fees saved$2,000
All case studies
Pick the problem that sounds like yours
Revenue, leads, marketing, operations, reporting, your team and AI itself.
RevenuePipeline recovery
$233k
found sitting in a pipeline that looked healthy. Nobody owned it.
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RevenueWebsite conversion
-$15k
a month in losses, turned back into profit once AI found what the redesign broke.
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LeadsEvery lead called
1 in 4
new leads were getting no call at all. Fixed in one day.
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LeadsLead reactivation
362
old leads called on day one. Not one dialled by hand.
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MarketingOne ads view
1 session
to link 3 Google Ads accounts, not around 2 weeks. $2,000 in fees saved.
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OperationsError-free quoting
$21,924.10
quote built by AI and checked against the owner's own maths. Correct to the cent.
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OperationsDatabase segmentation
15,000+
contacts sorted, each into exactly one group, so every one gets the right message.
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ReportingTrusted reporting
2
staff on the phones but missing from every call report. Fixed in one session.
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TeamTeam accountability
5x
a week, the whole team sees who did what yesterday. Nobody writes it.
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AI governanceVerified AI work
1+
unfinished job caught every fortnight by a second AI, before it ships.
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