Vendor leads. Viewings booked. Dormant databases reactivated. Relationships scaled. From an AI call answering receptionist fielding every enquiry to outbound campaigns at scale, every AI voice agent case study below has the maths behind it.
An Australian income protection and health insurance brokerage had thousands of quote enquiries going cold in ActiveCampaign. They pointed Waboom AI voice agents at the list. Here is the play, and the numbers.
A leading trans-Tasman home builder had 70,000 prospects accumulated over five years of marketing, with no systematic follow-up. We called 5,200. The data uncovered AU$374.4M in lost sales already gone to competitors, with 65,000 prospects still untouched.
Peter has sold Melbourne apartments for 25 years. His CRM holds 14,000+ dormant contacts, including the buyer he sold five hotel-residence apartments to in 2012. He hadn't called him in 14 years. His Waboom AI voice agent did. The buyer was retiring. Full circle, $2.9M GAV relisted, ~$78k commission, AUD$1,000 a month on the voice agent.
A Christchurch new-build developer was watching hot Meta leads go cold. Two SDRs could not call them back fast enough. They ran 931 leads through a Waboom AI voice agent on a $505 trial. 14 days later: 49 viewings booked, 22 prospects parked for follow-up, $7.12 per qualified booking. The full numbers.
An Auckland boutique hotel was bouncing after-hours calls to voicemail and losing reservations to nearby competitors. After deploying an AI voice agent for inbound bookings, after-hours conversion lifted 47%. The numbers, the script, and what they actually changed.
Sam Hutton runs a Dunedin property management business with 380 doors. His Pipedrive analytics flagged 300 missed calls in March. The first 50 he listened back to were each worth between $200 and $1,200. Here is what he did next, and how 6 weeks later the missed-call count dropped to 22.
A 70-seat Wellington restaurant was losing 40+ Saturday-lunch bookings a month to a voicemail loop. After moving the reservation line to an AI voice agent, the loss disappeared. Anonymised case study with the actual numbers.
We tested a top-rated US AI voice agent on 200 inbound calls to a 4-star Queenstown hotel. Misunderstanding rate: 22%. Place names mispronounced. Currency confusion. Zero te reo. The same calls handled by a NZ-trained agent: 4% misunderstanding. Here is what the difference means in revenue.
How a leading Auckland firm strengthened over 100,000 client relationships with AI voice agents.
Most case studies are vibes. A logo, a happy quote, no maths. We do not run those. Every campaign we ship gets tagged at the call level, so we can tell you the cost per real outcome...
Last updated 11 October 2026 · by Leonardo Garcia-Curtis
