ANZ Bank · NVIDIA
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot
Artificial intelligence, professionally covered
Other
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by https://autoscalemybiz.com.au/case-studies/case-study-local-service (vendor self-report). Checked against the source page on 2026-09-06. 7 of 7 figures below appear on that page word for word.
The owner was spending more time managing administrative tasks than growing his business, leading to overwhelmed staff, missed emergency calls, slow lead follow-up, and a stagnant online reputation.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“They captured over 15 high-value emergency jobs in the first month alone that would have been lost”
Quoted word for word from the source
“leading to an estimated $12,000 in new revenue in the first quarter.”
Quoted word for word from the source
“saving the office manager more than 20 hours per week.”
Quoted word for word from the source
“The AI Chatbot and Phone Answering systems handled over 40% of inbound inquiries”
Quoted word for word from the source · round percentage, no baseline given
“Average response time for web leads dropped from 4+ hours to under 2 minutes”
Quoted word for word from the source
“The automated review request system generated a 75% increase in new Google reviews.”
Quoted word for word from the source · round percentage, no baseline given
“Their average rating climbed from a 4.2 to a stellar 4.8, building immense trust with potential customers and boosting their local SEO.”
Quoted word for word from the source
ROI as stated: Worth every penny.
“Before AutoScale My Biz, I was drowning. We were great at HVAC but terrible at managing the leads and paperwork. Their team came in, understood our exact workflow, and implemented automations that felt like we hired three new people. Our phones are covered, our leads are handled instantly, and our online reputation finally reflects our work. It's been a complete game-changer for our efficiency and our bottom line. Worth every penny.”
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot
15-35% increase — retailer sales
Independently reportedOther · Other · Classical ML · Scaled
zero — accidents due to driver drowsiness
Independently reportedOther · Other · Classical ML · In production · 2022
Vendor-reportedEducation · Other · NLP · In production · 2024
more than 10X — user growth supported with same IT workforce
Vendor-reportedOther · Other · Computer vision · Scaled · 2019
330000 — Students supported
Vendor-reportedEducation · Other · LLM · In production