From law firms to staffing agencies to real estate teams — documented before and after results from production AI systems across 8 industries.
Systems in production. Results in numbers.
Not pilots. Not prototypes. Working AI infrastructure inside real businesses.
+1,866%
revenue growth in 45 days
AI Sales Infrastructure — Portfolio Brand
23.4x
ROAS
−90%
CAC
77.9%
show rate
138
deals closed
The challenge
A portfolio brand running $94K in ad spend was generating leads the sales process couldn't convert. Closers spent 20–30 minutes on manual pre-call research. Follow-up took 30–60 minutes per call. Show rate was 26.3% — nearly 3 out of 4 booked calls were no-shows. Every rep was running their own system, which meant no system at all.
What we built
- Layer 1 — Pre-call intelligence: Clay/Apollo enrichment, buyer type classification (Visionary, Analyst, Connector, Skeptic). Drove show rate from 26.3% to 77.9%.
- Layer 2 — Live call assistance: Real-time signal detection via Deepgram through Recall.ai on Google Meet. Close rate improved from 19.5% to 26.0%.
- Layer 3 — Post-call automation: HeyGen video scripts, partner emails, and tracked deal rooms generated in seconds — not the 30–60 minutes it used to take.
“We were spending serious money on ads and watching leads disappear. The closer didn't have the right information before the call, follow-up was an afterthought, and every rep was running their own system — which meant no system at all.”
Stack
GHL · Google Meet · Deepgram · Claude API (claude-sonnet-4-6) · Recall.ai · HeyGen
Result
Revenue: $200K → $3.9M (+1,866%). CAC: $11,765 → $1,217 (−90%). ROAS: 2.1x → 23.4x. Show rate: 26.3% → 77.9%. Net profit: $3,420,000 in 45 days.
Timeline
6 weeks to build
18+
hours saved/week
Full Ops Platform — Contracting Business
The challenge
Manual estimates, paper invoices, no client visibility, QuickBooks done by hand. The owner was spending 18+ hours a week on admin and doing paperwork at night instead of running the business.
What we built
- Voice command engine: Web Speech API + Claude API, 6 intent types, VoiceConfirmCard confirmation pattern
- Client-facing estimate approval portal with real-time tracking and auto-follow-up
- Automated invoicing and payment tracking via Stripe, with overdue reminders via Resend and Twilio
- QuickBooks CSV export — zero manual data entry
Stack
Next.js 14, TypeScript, Tailwind, Prisma/PostgreSQL, Supabase, Stripe, Resend, Twilio
Result
18+ hours saved weekly on admin. Payment collection cycle cut from 21 days to 4. Zero manual QuickBooks entry.
Timeline
8 weeks
$420K
added revenue in 90 days
AI Intake and Client Lifecycle System — Mid-size Law Firm
The challenge
Intake was handled manually — phone messages transcribed by hand, web form submissions sitting in a shared inbox. The principal was spending 22 hours a week on admin. Lead response time averaged 36–48 hours and proposal close rate sat at 19%.
What we built
- AI intake digitizer that captures and routes inquiries across phone, web, and email instantly
- Precedent intelligence engine pulling relevant case outcomes for preliminary analysis
- Personalized follow-up sequences triggered by intake status and engagement signals
- Auto-generated engagement letters and proposals with integrated e-signature
Result
$420,000 in additional billable revenue in the first 90 days. Admin hours: 22 → 6/week. Proposal close rate: 19% → 67%.
Timeline
90-day measurement window
$520K
revenue per recruiter
AI Smart Matching and Outreach Engine — Regional Staffing Agency
The challenge
Recruiters were manually reading every resume, writing individual outreach, and tracking candidates across spreadsheets. Each placement took days of hands-on effort. Average recruiter placed 5 candidates per month generating $180K annually.
What we built
- Real-time resume and job spec scanner with instant matching scores
- Personalized multi-channel outreach across email, SMS, and call scripts
- Automated follow-up engine adjusting timing and channel based on response patterns
- Ranked best-match dashboard updated in real time as new resumes arrive
Result
Revenue per recruiter: $180K → $520K. Placements per month: 5 → 14. Intake to submission: 4 days → 18 hours.
Timeline
Annual measurement
+62%
monthly revenue
Autonomous Patient Journey Platform — Multi-location Med Spa
The challenge
One in four booked appointments went unfilled. Rebooking rate was 31%. Revenue per consultation sat at $1,400 because there was no systematic way to recommend add-on treatments. Growing locations but not revenue per patient.
What we built
- AI booking concierge handling scheduling across multiple locations via text, web, and phone
- Predictive no-show prevention analyzing booking patterns and behavioral signals
- Smart reminder system with personalized treatment-based offers
- Post-treatment nurture sequences driving rebooking from 31% to 78%
Result
Monthly revenue up 62%. No-show rate: 25% → 3.8%. Rebooking rate: 31% → 78%. Revenue per consultation: $1,400 → $3,100.
Timeline
Ongoing measurement
+41%
revenue from reorders
Intelligent Order and Relationship Manager — Wholesale Distributor
The challenge
Every order required 52 minutes of manual handling. Four full-time CS staff managed the volume. Reorder rates sat at 22% because nobody was tracking when customers needed to restock.
What we built
- Automated order processing — parsing SKUs, quantities, pricing tiers from email, phone, and portal
- Predictive reorder engine with 94% accuracy on timing predictions
- Conversational AI for customer inquiries across phone, email, and chat
- Proactive upsell messaging based on order history and product affinity
Result
Revenue up 41% from reorders. Order processing: 52 min → 7 min. CS headcount: 4 → 1. Reorder rate: 22% → 51%.
Timeline
Ongoing measurement
+157%
revenue per agent
Closer OS — Real Estate Edition
The challenge
Only 14% of contacts converted to appointments, and just 28% progressed to an offer. Agents spent hours on manual research before calls and lost momentum with prospects between showings.
What we built
- Pre-call lead intelligence dashboard with property history and financial signals
- Live AI call assist surfacing comparables, objection flags, and market data during consultations
- Automated post-showing nurture sequences with property recaps and financing scenarios
Result
Revenue per agent: +157% in 9 months. Contact to appointment: 14% → 53%. Appointment to offer: 28% → 64%.
Timeline
9-month measurement
41%
profit margin (was 18%)
End-to-End Operations AI Suite — Digital Creative Agency
The challenge
Running at 18% margins. Proposals took 9 days from discovery call. Onboarding stretched to 18 days. 25 hours monthly compiling reports that were outdated by the time they shipped.
What we built
- Instant proposal generator from discovery call transcript — scope, pricing, and timeline in hours
- Automated onboarding workflows: welcome sequences, asset collection, project provisioning
- Real-time AI reporting dashboard with narrative summaries updating live for clients
Result
Margins: 18% → 41%. Proposal turnaround: 9 days → under 24 hrs. Onboarding: 18 days → 48 hrs. Reporting: 25 hrs → 3 hrs/month.
Timeline
Ongoing measurement
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