Case Studies

What actually changed — measured, not guessed.

Every result below is checked against a baseline we agreed before work started, so what you're reading is verified, not aspirational case-study copy.

Case study 01 · Capacity created

Client result · Professional capacity

Simply Draft

30 min Before · per enquiry
5 min After · per enquiry

More than five professional hours returned to the team every week.

Lead investigation reduced from 30 minutes to about five.

A better information workflow returned skilled drafting time to work only the team could do.

Before

Property information was found, checked and compiled manually for every enquiry.

What changed

A structured information workflow now gathers and prepares what the team needs.

Business result

More than five hours of professional capacity recovered every week.

Measured using average handling time before and after launch.

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Case study 02 · Repeat revenue

Client result · Repeat revenue

Independent Florist

Paper only Before · customer records
$18k Tracked · repeat revenue

Around 1,000 historic customer records digitised into an occasion-triggered reorder system.

From scraps of paper to $18,000 in tracked repeat revenue.

Structured customer records and a permission-aware SMS journey turned forgotten occasions into remembered reorders.

Before

Customer history and important dates lived in notebooks and scraps of paper, with no dependable way to follow up.

What changed

Around 1,000 records were digitised and connected to a personalised, permission-aware SMS journey sent before each occasion.

Business result

$18,000 in additional gross revenue tracked to the automations in the first three months.

Measured as gross revenue tracked to the automations over three months, not projected or guaranteed.

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Case study 03 · Revenue recovered

Client result · Revenue recovery

Highlands Cleaning

Missed Before · calls went cold
12 calls Recovered · first month

Four recovered conversations became new bookings in the first month.

Twelve missed calls recovered. Four became new bookings.

An immediate, personal response reached callers before the opportunity moved to a competitor.

Before

Missed and after-hours calls relied on someone noticing and calling back later.

What changed

Callers now receive an immediate personalised text, supported by a reactivation sequence.

Business result

Twelve calls recovered and four new bookings created in the first month.

Measured from missed-call conversations and attributed bookings in month one.

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Case study 04 · Capacity and control

Client result · Service response

ResolvedIT

47 min Before · first response
5 min After · first response

More service capacity without adding another operator.

Average first response fell from 47 minutes to five.

Connected triage, onboarding and reporting workflows let one operator handle substantially more work.

Before

Ticket handling, onboarding and monthly reporting depended on manual coordination.

What changed

Triage, self-service, onboarding and operational visibility were connected into one workflow.

Business result

Faster response and reporting reduced from half a day to minutes — without another hire.

Measured using service response records and reporting preparation time.

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Case study 05 · Dormant revenue recovered

Client result · Database reactivation

Sydney Solar & Battery Company

Written off Before · 1,000+ dormant enquiries
$180k Approx. revenue recovered

A progressive sweep of a two-year dormant database, reactivating roughly 3%.

Over 1,000 enquiries the business had already written off.

A progressive, no-pressure reconnect campaign worked back through two years of dormant solar and battery enquiries.

Before

Enquiries that didn't convert immediately sat untouched, some for up to two years, with no system to revisit them.

What changed

The database was segmented and progressively sent one no-pressure reconnect message, then re-qualified against current pricing.

Business result

Roughly $180,000 in revenue recovered from enquiries the business had already considered lost.

Shared with the client's permission — a happy, referenceable client who's asked to stay unnamed beyond "a Sydney solar and battery company" so competitors don't learn exactly how they're recovering this revenue.

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Case study 06 · Protected time

Client result · After-hours triage

Illawarra Plumbing Co

1 in 3 Night calls were genuine emergencies
~4 / month Fewer disrupted nights

Every genuine emergency still reaches Bob immediately — everything else waits for morning.

Every burst pipe still gets answered at 2am. Nothing else does.

An after-hours AI triage line sorts genuine plumbing emergencies from calls that can safely wait until morning.

Before

Bob personally answered every after-hours call — 6+ a week, plus 5–6 more after midnight most months — because he couldn't tell which was the burst pipe.

What changed

An AI now answers every call live, asks a few direct questions, and escalates only genuine emergencies straight to Bob.

Business result

Roughly 4 fewer disrupted nights a month, with every real emergency still reaching Bob immediately.

Estimated from Bob's own reporting of call volume and genuine-emergency rate since going live in June 2026.

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Case study 07 · Revenue recovered

Client result · Missed-call text-back

Highlands Electrician

Missed Before · $4-10k jobs lost
$45k Conservatively booked · 12 jobs

Twelve AC-install jobs recovered since April 2026, each one Paul believes he'd otherwise have lost.

Every missed call gets answered now — even from the top of a ladder.

Automated text-back recovers the AC-install enquiries Paul used to lose while mid-job.

Before

Missed calls during an install went unanswered for hours — whoever called the customer back first won the job.

What changed

An automatic text goes out within seconds of a missed call, qualifying the job over text while Paul keeps working.

Business result

12 jobs recovered since April 2026, a conservative $45,000 in booked revenue — about $3,750 average per job.

Measured from real, invoiced jobs since going live — not a projection.

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Start with what matters.

Tell us what feels slower, harder or less reliable than it should. We'll help you work out whether there's a worthwhile improvement — and the simplest way to make it happen.

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