Case studies

See what a business like yours looks like after OpsJuice.

Filter by your industry and see exactly what the OpsJuice system finds, builds, and delivers, the leaks closed, the hours returned, the revenue booked.

Representative engagements that show what the OpsJuice system delivers for each kind of business. Named client results will appear here as we publish them.
Case studies / Home services

How a 12-truck HVAC company stopped losing after-hours calls

22 hrs/wk
saved on phones & admin
+18%
more jobs booked
60 sec
to answer every call

The challenge

5-10 calls a week went to voicemail after hours and during busy stretches. The owner knew most callers just dialed the next company, but couldn't quantify it or fix it without hiring.

What the assessment found

  • ~7 missed/abandoned calls a week, ~78% never called back
  • 2 staff spending ~15 hrs/wk re-keying job details between tools
  • No after-hours coverage and no follow-up on unbooked estimates

What we built

  • An AI voice agent that answers every call in one ring, books into the existing scheduler, and texts a recap
  • Auto-sync of job details so nothing is re-keyed
  • A 60-second text-back on any missed call

The result

Within the first weeks, the changes paid for themselves, and the owner got time back to run the business instead of chasing it.

Case studies / Professional services

How a boutique accounting firm cut client onboarding from 6 days to 4 hours

6 days → 4 hrs
to onboard a client
return on investment in the first quarter
0
manual re-keying

The challenge

Every new client meant days of chasing documents, retyping details into three systems, and partner time lost to admin instead of advisory work.

What the assessment found

  • Onboarding averaged 6 business days, most of it waiting and re-keying
  • Partners spent ~8 hrs per client on work an assistant-grade AI could do
  • No standard intake, quality varied by whoever did it

What we built

  • An AI intake flow that requests, reads, and files client documents automatically
  • One-click population of the practice-management system (no re-typing)
  • A standardized, branded onboarding every client gets

The result

Within the first weeks, the changes paid for themselves, and the owner got time back to run the business instead of chasing it.

Case studies / E-commerce / DTC

How a DTC brand auto-resolved 71% of support tickets

71%
of tickets auto-resolved
< 2 min
average first reply
$0
added headcount

The challenge

Support volume spiked with growth. The team was drowning in 'where's my order' and refund questions, and response times were slipping into days.

What the assessment found

  • ~70% of tickets were 5 repetitive question types
  • First-response time had crept past 24 hours
  • Refund processing was fully manual and error-prone

What we built

  • A support AI that answers order-status and refund questions from live data
  • Automatic, policy-checked refunds with a human approval step
  • Escalation to a person only for the genuinely novel cases

The result

Within the first weeks, the changes paid for themselves, and the owner got time back to run the business instead of chasing it.

Case studies / Healthcare

How a 4-location dental group reclaimed 3,400 staff hours a year

3,400 hrs/yr
of staff time reclaimed
−31%
no-show rate
4
locations on one system

The challenge

Front desks at four locations spent their days on recall calls, insurance eligibility checks, and paper intake, and no-shows kept eating the schedule.

What the assessment found

  • ~65 hrs/wk across sites on recalls and eligibility checks
  • No-shows running ~18% with no automated reminders
  • Intake on paper, re-entered by hand at every visit

What we built

  • Automated recall + appointment reminders by text/email across all sites
  • AI insurance-eligibility checks before each visit
  • Digital intake that flows straight into the practice system

The result

Within the first weeks, the changes paid for themselves, and the owner got time back to run the business instead of chasing it.

Case studies / Field services

How a roofing company booked $310K more by replying in 60 seconds

$310K
more revenue booked
quote-to-close rate
60 sec
speed-to-lead

The challenge

Leads from ads and referrals sat for hours before anyone replied. By then, half had hired a competitor who called first.

What the assessment found

  • Average speed-to-lead was over 5 hours
  • Roughly half of inbound leads never got a same-day reply
  • No structured follow-up after the first quote

What we built

  • A 60-second AI text-back on every new lead that qualifies and schedules
  • A 7-touch follow-up sequence on every unclosed quote
  • Live routing of hot leads to the owner's phone

The result

Within the first weeks, the changes paid for themselves, and the owner got time back to run the business instead of chasing it.

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