Sources & Methodology
The published research behind the numbers on our site.
The statistics and projected outcomes referenced on this website are based on published third-party research, industry benchmarks, and publicly available case studies. They are not based on Aeon Intelligence client data. Individual results will vary based on business type, size, industry, implementation, and other factors. These figures represent estimates and projections, not guaranteed outcomes.
Claims & Citations
“62% of calls to small businesses go unanswered”
Home page — Pain Points section
- 411 Locals, 2024 — Study of 85 businesses across 58 industries.
“The average business takes 47 hours to follow up on a lead”
Home page — Pain Points section
- Harvard Business Review — Study of 2,241 companies measuring lead response times.
- InsideSales — Audit of 4,723 companies; 38-hour average response time.
“Up to 29% reduction in no-shows with automated reminders”
Home page — By the Numbers, Growth Suite — VacancyGuard™
- Medical Economics, 2024 — National no-show baseline of ~18% in professional services.
- AJMC, 2018 — Randomized trial of 54,066 patients; two reminders reduced no-shows to 4.4%.
- Simbo AI — Pune hospital reduced no-shows from 18% to 7% and recovered ~$8,800/mo.
“Up to 80% of routine inquiries projected to be handled by AI”
Home page — By the Numbers, Growth Suite — EchoWell™
Gartner projects 80% by 2029. Current real-world containment averages 64% (IBM).
- Gartner, 2025 — Projected 80% resolution rate by 2029 with 30% cost reduction.
- IBM — Virtual agents achieve 64% average containment rate across 1,000+ companies.
“Up to 25% improvement in lead conversion with speed-to-lead automation”
Home page — By the Numbers, Growth Suite — ClientCast™
- SuperAGI, 2025 — Speed-to-lead automation boosts conversion by 25%; 5-min response = 21× more likely to convert.
- Harvard Business Review — Study of 2,241 companies measuring lead response times.
“3.5× average ROI for full AI automation”
Home page — By the Numbers, How It Works ROI callout
- CNAX AI, 2025 — 3.5× average ROI for full AI automation implementation.
- AdAI, 2026 — 250% average ROI within 18 months; 35% operational cost reduction in year one.
“~23 missed calls per week for small businesses (after-hours)”
Home page — Before & After table
- Ringing.io — ~23 missed calls per week outside business hours for small businesses.
“18% baseline no-show rate for professional services”
Home page — Before & After table
- SchedulingKit, 2026 — 18% average no-show rate for professional services; 23% across all service industries.
- Medical Economics, 2024 — National no-show baseline of ~18% in professional services.
“40–50% of cancelled slots filled by automated waitlist systems”
Growth Suite — VacancyGuard™
- Proactive Chart — Automated systems fill 40–50% of cancellations; some practices recover $18K+ in 60 days.
- Simbo AI — Pune hospital reduced no-shows from 18% to 7% and recovered ~$8,800/mo.
“3–4× increase in review volume with automated solicitation”
Home page — Before & After table, Growth Suite — Revuelution™
- Widewail — 243% increase in review volume in the first month with automated SMS requests.
“Estimated monthly value of $4K–10K for the Growth Suite”
Growth Suite — ROI Summary
Composite projection based on individual service benchmarks. Individual results vary.
- CNAX AI, 2025 — 3.5× average ROI for full AI automation implementation.
- AdAI, 2026 — 250% average ROI within 18 months; 35% operational cost reduction in year one.
- SuperAGI, 2025 — Speed-to-lead automation boosts conversion by 25%; 5-min response = 21× more likely to convert.
- Proactive Chart — Automated systems fill 40–50% of cancellations; some practices recover $18K+ in 60 days.
- Simbo AI — Pune hospital reduced no-shows from 18% to 7% and recovered ~$8,800/mo.
All Sources
| Source | Year | Detail |
|---|---|---|
| SMBs Don't Answer 62% of Phone Calls411 Locals | 2024 | Study of 85 businesses across 58 industries. |
| The Short Life of Online Sales LeadsHarvard Business Review | 2011 | Study of 2,241 companies measuring lead response times. |
| Response Time MattersInsideSales / XANT | 2016 | Audit of 4,723 companies; 38-hour average response time. |
| Free 3-Day Reminder Call Strategy Reduces Patient No-Shows by 28%Medical Economics | 2024 | National no-show baseline of ~18% in professional services. |
| Optimizing Number and Timing of Appointment Reminders: A Randomized TrialAmerican Journal of Managed Care | 2018 | Randomized trial of 54,066 patients; two reminders reduced no-shows to 4.4%. |
| AI-Based Waitlist Refill Functionality Optimizes Clinic Slot UtilizationSimbo AI | 2024 | Pune hospital reduced no-shows from 18% to 7% and recovered ~$8,800/mo. |
| Agentic AI Will Autonomously Resolve 80% of Common Customer Service Issues by 2029Gartner | 2025 | Projected 80% resolution rate by 2029 with 30% cost reduction. |
| Boosting Digital Contact in a Contactless World with AI and Hybrid CloudIBM Newsroom | 2021 | Virtual agents achieve 64% average containment rate across 1,000+ companies. |
| How Companies Achieved a 25% Increase in Conversion Rates with Speed-to-Lead AutomationSuperAGI | 2025 | Speed-to-lead automation boosts conversion by 25%; 5-min response = 21× more likely to convert. |
| AI Statistics for Small Businesses 2025CNAX AI | 2025 | 3.5× average ROI for full AI automation implementation. |
| AI Automation Statistics 2026AdAI | 2026 | 250% average ROI within 18 months; 35% operational cost reduction in year one. |
| Automated Waitlist Management: Filling Cancellations InstantlyProactive Chart | 2024 | Automated systems fill 40–50% of cancellations; some practices recover $18K+ in 60 days. |
| Review Management and New Review Generation Case StudyWidewail | 2024 | 243% increase in review volume in the first month with automated SMS requests. |
| Missing 67% of Leads? The After-Hours Revenue GapRinging.io | 2025 | ~23 missed calls per week outside business hours for small businesses. |
| 50 Appointment No-Show StatisticsSchedulingKit | 2026 | 18% average no-show rate for professional services; 23% across all service industries. |