39 use cases, most specific results first.
Contractor Appointments (MN inbound appointment generator for home-service contractors); small text-nurture team of ~2
$134M client revenue attributed to Zapier lead flows; 80–90% top-of-funnel replies auto-handled; 20–50 extra appointments/day after hours; $300K incremental annual revenue from long-term nurturing (5–10% monthly revenue from prior-year nurtures)
Home-services company (agency client)
1,226 inbound calls answered live over ~10 weeks; 250 booked on the spot (~11%), 125 callbacks queued, 69 transferred; 100 synced into CRM with real job numbers; 275 calls had no trackable outcome
Waiver Consulting Group, healthcare consulting firm (Medicaid Waiver programs; size not stated); built by agency Hanakano (founded 2023)
"25% more consultations"; "Positive ROI after 3 weeks" (booked enough consultations "to offset its entire cost of development")
Besser Garage Door (garage door service; scaled 6→15 service techs)
grew "six service technicians" to "15" with "plenty of bandwidth left" in dispatching; "30% increase in average ticket"; "9% increase in sold lead ratio"; vendor-reported residential averages with Dispatch Pro: "10% decrease in drive time", "21% reduction in idle time", "2x dispatcher efficiency"
Esser Air Conditioning and Heating, Palm Desert CA (~8 techs, 4 install crews, 6 office; ~$6.2M TTM)
dispatcher overrides of AI assignments fell from "~40%" early on to "~10%"; CSR Tracy: work cut roughly "in half" (claimed ~100h/week → 40h); office manager leaves board to Dispatch Pro overnight
Superior Plumbing (Atlanta area) and Northwinds Services Group (Rochester NY; 20 brands)
Superior: CSRs "six full-time… and one part-timer" → "three full-time" via attrition; Piper close rate "67%"; first Thanksgiving/Christmas with no CSR on phones. Northwinds: "~7,000 calls" in one polar-vortex week; "80–85% booking rate"; "4.5-minute average call time" vs "8–10 minutes" for humans
Vancity Electric, Vancouver electrical contractor (grew ~$500K → $1.4M)
revenue "from $500K to $1.4M"; gross margin "from 20% to 50%"; "handles 70+ weekly leads without extra admin"; online Jobber payments "up to 4x faster" than checks (vendor claim for businesses like theirs)
clinics (Carbon Health, 81 clinics)
texted links converted 40% to appts; >10,000 appts recovered/yr (vendor)
clinic (client of builder); appointment-based SMB
answered every call for a week (as stated)
client sales team (builder case)
old process lost ~two hours a day to coordination (problem stated); automation connected five calendars
offline SMBs (restaurants, salons, studios) — builder’s micro-tool
not stated (tool built to stop missed bookings buried in inbox)
Healthcare practices (builder's workflow)
not stated
Native Physical Therapy, solo PT practice in Annapolis, MD (founded 2025)
"100% booking rate from leads who leave messages through AI Receptionist"; avoided "$1,500 a month" receptionist cost
Small clinic (owner-run)
"Zero Missed Calls." "For one week, an AI answered every call to my clinic."
Dental clinic (non-US)
Fewer missed calls and a "measurable drop in no-shows" per the author; no hard metrics
Training/coaching business with trainers
Every client gets a welcome pack and reminders with no manual sending; no metrics
Local restaurant (builder's first paying customer)
One paying restaurant so far; 1,000+ cold emails to other restaurants mostly got no reply or a no
Appointment-based small business (n8n builder)
Says it saves time and keeps reminders consistent; no numbers
such as clinic
At Carbon Health, across 81 clinics, the after-hours agent answered every inbound call. Its texted booking links converted 40% to appointments, and up to 34% of those completed a visit, recovering over 10,000 appointments a year.
who runs a small AI agency
It shipped in two days for a $5K fee. Six months earlier, the same job took a week and a half, including days fixing messages that arrived but never triggered a booking.
Premier Heating and Air (HVAC)
AI responds "under 30 seconds" vs humans "four to five minutes"; "more than doubled lead-handling capacity"; "3x conversion" (case title); bookings into ServiceTitan without added staff
agency founder shipping software with Claude Code for a retail chain client
"booking bot that answers about 70 messages a day for a retail chain"
Residential cleaning/service business (commenter)
"conversions only go up on the calls you were already losing" (no numbers)
not stated (from agentusecases.ai summary)
The commenter calls it easy to build and says flash models are more than enough for simple agent tasks. They estimate about 15 dollars a year in tokens, versus 20 a month for a subscription. No detailed results are given.
not stated (from agentusecases.ai summary)
The stated outcome was fewer missed calls, a measurable drop in no-shows, and automatic reactivation of patients idle for 90+ days, but the post gives no hard metrics. In comments, the author also says HIPAA was not required where they live, and compliance was the main concern readers raised.
pulls that client
The result was that every client automatically got a welcome pack plus 30-day and 7-day reminders with no manual sending. The post says it works well, but gives no hard metrics and the author still thinks parts could be structured more cleanly.
not stated (from agentusecases.ai summary)
The post claims the workflow saves time and keeps reminders consistent without human involvement. It gives no numbers, no results from real use, and no account of failures.
not stated (from agentusecases.ai summary)
The commenter says this is the biggest-ROI use case they see because service leads go cold fast. They also warn Grok Bot is weaker at always-on scheduled jobs like nightly or morning sweeps, which is where users get burned.
The owner
The tasks ran, but each one needed a manual approval click. Claude found the root cause and proposed fixes, but the extension is closed source, so nothing was patched. He filed a GitHub issue.
not stated (from agentusecases.ai summary)
The whole run takes about two minutes, down from 30+ minutes by hand. He went from about two newsletters a month, sometimes none, to one every week.
not stated (from agentusecases.ai summary)
They say they have one paying restaurant customer so far. The main shortfall is distribution: after sending more than 1,000 cold emails, most restaurants either did not reply or rejected the idea.
not stated (from agentusecases.ai summary)
The source is a short explanatory comment and reports no results, numbers or shortcomings. It describes the architecture only.
and a client
The thread gives no hard performance numbers or case-study results. The clearest limitation mentioned is that some users on Cursor legacy Pro plans could not access Grok Bot, and one commenter said website browsing was clumsy and opened unnecessary tabs.
not stated (from agentusecases.ai summary)
not stated
not stated (from agentusecases.ai summary)
not stated
runs daily at 7am with read access to the client
not stated
not stated (from agentusecases.ai summary)
The repo describes the workflows and offers importable JSON files but reports no usage results, call volumes or accuracy figures. It states that the workflows are examples and starting points.
auto shop owner (@KalPetkoff)
not stated in the X post body beyond the article title claim; details behind linked article (not fetched this run)
author using Lindy for inbound meeting requests
single worked example (prospect chose 2pm; booked + HubSpot + brief from last 3 emails); no volume metrics. Card from agentusecases.ai summary.