Documented before and after numbers from production AI systems running inside law firms, staffing agencies, real estate teams, and businesses across 8 industries.
Systems in production. Results in numbers.
These aren't pilots or prototypes. It's working AI infrastructure running 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, down from 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 with 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 that parses SKUs, quantities, and 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 a 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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