Results & Case Studies

Local businesses, real outcomes.

Industry benchmarks and anonymized outcomes from businesses running their operations on WorkFlow AI. No marketing fluff — just the numbers.

50% Avg. admin time reduction
4.2 hrs Lead response time saved / day
3.8x More leads followed up
Case Study
Smile First Dental — 2-location practice
General dentistry · 8 employees · Phoenix, AZ
+31% More appointments booked per month
9 min Avg. lead response time (was 4+ hrs)
60% Less time on CRM updates
14 hrs Admin time saved per week

What changed

  • New patient inquiry responses dropped from 4+ hours to under 10 minutes — no staff intervention
  • Appointment reminders automated, reducing no-shows by 18% in the first 60 days
  • Follow-up sequences for lapsed patients reactivated dormant bookings worth ~$4,200/mo
  • Office manager stopped spending 2 hrs/day on manual CRM updates
Case Study
CoolRun HVAC — Residential service company
HVAC repair & installation · 5 trucks · Austin, TX
$8,400 Additional monthly revenue from follow-ups
22 min Avg. lead response time (was 6+ hrs)
4.1x More job quote follow-ups completed
11 hrs Admin time saved per week

What changed

  • After-hours emergency calls now get an AI response within minutes — capturing urgency that used to go to voicemail
  • Job quote follow-up rate increased from 40% to 92% — previously only the owner was doing it consistently
  • Seasonal maintenance re-engagement campaign brought back 34 inactive clients in Q1
  • Dispatch coordination automated — tech schedules updated without owner back-and-forth
Case Study
Horizon Realty — Boutique residential brokerage
Residential real estate · 12 agents · Denver, CO
+27% More listing inquiries converted
7 min Avg. lead response time (was 3+ hrs)
2.6x More agent touchpoints per lead
18 hrs Admin time saved per week

What changed

  • First-contact response time dropped from 3+ hours to under 7 minutes across all agents — eliminating the "first mover advantage" loss to competitors
  • Automated CMA (comparative market analysis) follow-up sequences kept leads warm for 3x longer
  • Pipeline reminders replaced the weekly "stale leads" review that the broker used to run manually
  • Team now has 18 hrs/week back for actual selling — previously spent on CRM housekeeping
Case Study
Garcia & Associates — Personal injury law firm
Personal injury law · 6 attorneys · San Antonio, TX
+44% More intake calls scheduled per month
12 min Avg. lead response time (was 8+ hrs)
5.2x More client check-ins completed
16 hrs Admin time saved per week

What changed

  • Intake response for potential personal injury clients — time-sensitive by nature — dropped from 8+ hours to under 12 minutes
  • Case status updates automated, reducing client call volume to the office by 34%
  • Medical records and insurance follow-up sequences now run on schedule — previously fell through the cracks
  • Paralegals stopped doing manual case status updates, freeing 16 hrs/week for actual case work
Industry benchmarks — what to expect
Dental
40–60% admin time reduction. +20–35% more appointments from faster lead follow-up.
HVAC / Home Services
$5k–$12k avg. additional revenue/mo from automated follow-ups on stalled quotes.
Real Estate
3–5x more agent touchpoints per lead. 25–40% higher conversion on new inquiries.
Legal
40–55% more intake calls scheduled. 5–8x more case status touches per client per month.
Outcome benchmarks — before vs. after AI
Metric Before WorkFlow AI After WorkFlow AI Improvement
Lead response time 4–8 hours 8–25 minutes ↑ 95% faster
Leads followed up on 40–55% 85–98% ↑ ~2x more
Admin hours / week 18–28 hours 8–14 hours ↓ 45–55% saved
Quote / proposal follow-up 30–50% 85–95% ↑ ~2.5x more
Client check-in cadence 1–2 / month 5–8 / month ↑ ~4x more
No-show / lapse rate 15–25% 8–14% ↓ ~40% reduction

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