What the cases add up to, computed from every case we have published. Every outcome figure below is the source's claim, linked to its case page.
Coverage: Tue, Oct 13, 2026 to Wed, Oct 14, 2026. 20 of 30 cases name the tool used. 0 cases are reported by 2 or more independent sources. All counts on this page are computed automatically from the published cases each time the site builds, so they stay current as new editions land.
Method: counts (cases, tools, topics, editions) are tallied directly from the case data. Outcome figures (money, time, rates) are not our measurements: they are quoted from each case's outcome note, which attributes them to the original source. Follow the case link to check any figure in context.
Money recovered, saved, invoiced, or booked, exactly as each source reported it. Currencies are kept as the source stated them; figures are not converted or summed, because they cover different periods and kinds of result.
| Case | Outcome, as reported | Source |
|---|
| Ten SaaS tools replaced, £3,600 saved | He claims a saving of about £3,600 per year, ongoing, from the cancelled subscriptions. The figure is his own and is not independently verified. | Deniz Sancar on X |
| Zero employees, $145-a-month stack | Zero employees and a $145-a-month stack, per the owner. No client, revenue, or time figures are given in the post. | Nitesh Sharma on X |
| 312 customer messages, one weekend | First weekend: 312 conversations handled, 287 resolved on its own (92%). The owner says 4,200+ conversations since, and $16,800 saved in VA costs over six months (author's figures). | Medium |
| A five-agent team replaced the pipeline grind | The 15 hours of weekly human labor went to zero, at about $20 a day in compute, per the founder. | Medium |
| Silent clients, flagged with a check-in draft | One flagged client turned into an $800 project, and two earlier follow-up drafts also produced replies within hours. | Medium |
| An audit that catches mislabeled books | Found deposits that were not income, VA hours never invoiced, and roughly $6,000 in additional deductions. Her own figures, not independently audited. | Substack |
| Forgotten subscriptions, hunted and cancelled | $700 back on day one from the flagged charges and drafted cancellations, per her account. | Moneywise |
| Unclaimed money, found in six minutes | About $730 found in six minutes, then another $800 when the same search ran for his wife (Forbes figures, via Prompt Wire). | Prompt Wire |
| $2,182 recovered, filing and all | $2,182 recovered end to end, including ID proof and signed forms. A secondhand report via a tech blog; treat the figure as unverified. | Mager blog |
| Salon phones answered across 300+ salons | Live in over 300 salons in six months: 34,251 calls handled at a 74% resolution rate and over £270,000 in bookings (vendor figures). | SouthEast Online |
| A month of invoices, one instruction | Six invoices totaling $18,600 drafted and sent after approval; an hour of month-end copy-paste became about 2 minutes of reviewing (demo claim). | Facebook (Taspi) |
| Answer rate: 61% to 94.3% | Per Sitka's case study: answer rate rose from 61% to 94.3%, missed calls fell from 7,400 to 1,080 a month, 71% of calls were handled fully by the AI, and the firm booked $3.1M in new revenue in year one against $412K in program cost. The client is anonymized and the figures are the vendor's. | Sitka AI case study |
| Case | Outcome, as reported | Source |
|---|
| After-hours bookkeeping, answered overnight | About 70% of after-hours questions answered directly; the rest queued for the morning with full context attached (per the builders). | Brothers Automate blog |
| After-hours cover for a med spa | Handles 60% of after-hours inquiries with no human involved, and the owner gets a clean summary each morning (per the agency). | Brothers Automate blog |
| A five-agent team replaced the pipeline grind | The 15 hours of weekly human labor went to zero, at about $20 a day in compute, per the founder. | Medium |
| Silent clients, flagged with a check-in draft | One flagged client turned into an $800 project, and two earlier follow-up drafts also produced replies within hours. | Medium |
| Weekly admin: 15 hours down to 4 | Admin fell from 12 to 15 hours a week to roughly 3 to 4. Two more clients taken on; revenue up about 40% month over month (his figures). | Medium |
| An audit that catches mislabeled books | Found deposits that were not income, VA hours never invoiced, and roughly $6,000 in additional deductions. Her own figures, not independently audited. | Substack |
| A week of content, planned and drafted | The product-story email hit a 41% open rate against her 27% average, the AI-scripted reel earned more saves in 24 hours than anything the prior month, and content time dropped from about 12 hours to 4. | Medium |
| 30 days of social, run by an agent | Time on social fell from 4 to 5 hours a day to about 30 minutes, engagement rose 42%, and demo calls from social went from 4 to 19 (his figures). | Medium |
| Purchase orders in, production plan out | The purchase-order tally dropped from a full day of admin work to under two hours of checking, per the owner. | The Straits Times |
| A month of invoices, one instruction | Six invoices totaling $18,600 drafted and sent after approval; an hour of month-end copy-paste became about 2 minutes of reviewing (demo claim). | Facebook (Taspi) |
| Bidding and billing handed to an agent | Office hours down to 3-5 a week, per the owner, who says he spends the freed time with his kids. He does not name the tool or break out the money saved. | @raycistman1 on X |
Resolution rates, answer rates, open rates, and shares handled, as each source stated them.
| Case | Outcome, as reported | Source |
|---|
| 70% of new inbox mail, delegated | By the end of the first day the agent was handling 70% of new inbox mail, and he estimates about 30% of his time saved so far, with routine meeting setup and invoice sending among the tasks offloaded. His figures, from his own article. | Livio Q on X |
| One agent does 95% of work | He says the agent does 95% of the work while he spends his judgment on the remaining 5%, and that admin no longer confines him to a laptop. No money or time figures are given; the split is his own description. | David's Guide |
| 312 customer messages, one weekend | First weekend: 312 conversations handled, 287 resolved on its own (92%). The owner says 4,200+ conversations since, and $16,800 saved in VA costs over six months (author's figures). | Medium |
| After-hours bookkeeping, answered overnight | About 70% of after-hours questions answered directly; the rest queued for the morning with full context attached (per the builders). | Brothers Automate blog |
| After-hours cover for a med spa | Handles 60% of after-hours inquiries with no human involved, and the owner gets a clean summary each morning (per the agency). | Brothers Automate blog |
| Weekly admin: 15 hours down to 4 | Admin fell from 12 to 15 hours a week to roughly 3 to 4. Two more clients taken on; revenue up about 40% month over month (his figures). | Medium |
| A week of content, planned and drafted | The product-story email hit a 41% open rate against her 27% average, the AI-scripted reel earned more saves in 24 hours than anything the prior month, and content time dropped from about 12 hours to 4. | Medium |
| 30 days of social, run by an agent | Time on social fell from 4 to 5 hours a day to about 30 minutes, engagement rose 42%, and demo calls from social went from 4 to 19 (his figures). | Medium |
| Salon phones answered across 300+ salons | Live in over 300 salons in six months: 34,251 calls handled at a 74% resolution rate and over £270,000 in bookings (vendor figures). | SouthEast Online |
| Inbound leads answered the second they arrive | Contact rates doubled per company data, and the named HVAC customer reports revenue up over 20% with no added admin overhead (company figures). | GlobeNewswire |
| Answer rate: 61% to 94.3% | Per Sitka's case study: answer rate rose from 61% to 94.3%, missed calls fell from 7,400 to 1,080 a month, 71% of calls were handled fully by the AI, and the firm booked $3.1M in new revenue in year one against $412K in program cost. The client is anonymized and the figures are the vendor's. | Sitka AI case study |