Real Results, Australian Businesses
Select a sector to explore what happened when automation was applied.
Sydney Office Cleaning — Smart Quote & Lead Response
Before
- Quote turnaround: 2–3 days
- Owner manually scoping every job
- After-hours enquiries unanswered
- Lost to faster competitors
After
- Instant smart quote for standard jobs
- After-hours enquiries auto-responded
- Owner only reviews complex scopes
- Proposals sent while competitors sleep
Industry modelled on Aivo.com.au data · AU cleaning sector
Cleaning Contractors — AI Scheduling & Client Comms
Before
- Scheduling done manually by phone
- High no-show & cancellation rate
- Client complaints went unresolved
- Admin consuming 10+ hrs/week
After
- AI handles booking confirmations
- Automated reminders cut no-shows
- Instant complaint acknowledgement
- Admin down to under 2 hrs/week
Industry modelled on MIT/InsideSales data · AU cleaning operators
Sydney Real Estate Agent — AI Lead Response
Before
- Manual follow-up
- 8% conversion rate
- Avg AU response: 15.3 hrs
- After-hours enquiries lost
After
- Instant AI response
- 23% conversion rate
- After-hours captured
- Auto-qualify + book
Source: Aivo.com.au
Three Melbourne Property Agencies — AI Workflow
Before
- Manual tenant & lead handling
- Slow response cycles
- High admin overhead
- Inconsistent follow-up
After
- Automated lead intake
- Consistent instant response
- Admin significantly reduced
- Pipeline transparency
Source: Aivo.com.au
Parramatta Plumbing Business — AI Receptionist
Before
- 30% calls to voicemail
- Office closes at 5 PM
- Emergency jobs lost after hours
- Customer retention: 23%
After
- 100% calls answered
- 24/7 emergency coverage
- Auto-booking + CRM logging
- Urgent SMS escalation
Source: Aivo.com.au
Small Plumbing Operator — 30-Day AI Voice Trial
Before
- 40—60 calls/day
- Techs couldn't answer on-site
- 30% to voicemail
- After-hours = lost revenue
AFTER (30 DAYS)
- 23 after-hours → booked
- $11,500 new revenue
- 100% answer rate
- 100% answer rate
Source: LinkedIn / AI Receptionist operators
Sydney Pest Control — AI Call Handling
Before
- Missed 35% of enquiry calls
- Manual callback attempts
- No after-hours coverage
- Lead response: 4+ hours avg
After
- 100% calls answered instantly
- Auto-booking for inspections
- 24/7 enquiry handling
- Response under 60 seconds
Source: Industry benchmarks · AU pest control
Regional Operator — AI-Assisted Quoting
Before
- Manual inspection quoting
- 2-day average quote turnaround
- Inconsistent pricing across techs
- Admin overhead on every job
After
- Standardised AI-assisted quotes
- Same-day quote delivery
- Consistent pricing every time
- Admin reduced by 60%
Source: Industry modelled · AU pest control operators
Melbourne HVAC Company — AI Lead Response
Before
- Seasonal call spikes overwhelming
- Summer wait times: 8+ minutes
- Lost 40% of inbound leads
- Manual dispatch coordination
After
- AI handles peak capacity
- Zero wait time, any season
- Every lead captured and logged
- Smart dispatch suggestions
Source: Industry modelled · AU HVAC operators
The Cost of Slow: HVAC Sector Benchmarks
Before
- Avg response time: 6.2 hours
- 58% of quotes take 2+ days
- Homeowners get 3 quotes avg
- First responder wins 78% of jobs
TOP PERFORMERS
- AI response: under 2 minutes
- Instant preliminary quote
- Qualification automated
- 3–4× higher close rate
Source: Industry benchmarks · InsideSales + AU HVAC data
Sydney Mortgage Broker — AI Pre-Qualification
Before
- Manual lead intake calls
- 30-min pre-qual per lead
- Evenings/weekends unmanned
- Hot leads going cold overnight
After
- AI pre-qualifies in 3 minutes
- 24/7 lead capture + scoring
- Only qualified leads reach broker
- Calendar auto-booked
Source: Industry modelled · AU mortgage broking
Financial Services — Speed-to-Lead Benchmarks
Before
- Industry avg response: 47 hours
- Only 27% respond within an hour
- Leads contact 3–5 brokers avg
- First responder advantage: massive
TOP PERFORMERS
- AI response: under 60 seconds
- Pre-qualification automated
- Compliance-ready transcripts
- Conversion 3–5× higher
Source: InsideSales / Harvard Business Review benchmarks
Sydney Insurance Brokers — Quote Response Automation
Before
- Quote response: 2 days
- 73% prospects chose competitors
- Industry avg: 3.4 hr response
- Manual follow-up only
After
- Response: under 2 hours
- Automated quote workflow
- Instant follow-up sequences
- Lead capture 24/7
Source: Aivo.com.au
The Cost of Slow: Insurance Sector Benchmarks
Before
- 3.4 hr avg response
- Top 10%: 2.8 min response
- 73% lost to competitor if slow
- Avg loss = 1–2 day window
TOP PERFORMERS
- <3 min response via AI
- Qualification automated
- Conversion 3–4× higher
- Lower CAC, higher LTV
Source: Aivo.com.au · Industry benchmarks