⚠️ Business Challenge
A busy HVAC and home services contractor was losing up to 15% of emergency repair calls because after-hours calls went directly to voicemail. Technicians spent hours calling customers back next morning, only to find they had already booked with competitors.
The Solution
We designed and deployed an AI voice agent. Running on custom dispatch logic, the agent answers calls 24/7, qualifies repair emergencies, books service calls directly into the scheduling calendar, and automatically dispatches Twilio SMS alerts to the technician on duty.
System Architecture
Vapi Call
Emergency Ingest
GPT-4 Engine
Cognitive Dispatch
Calendar API
Technician Schedule
Twilio SMS
Dispatch Confirm
✅ Project Outcomes
24/7 emergency dispatch
Reduced missed dispatcher bookings to 0%
4x faster service appointment lock-in
Saved 15+ hours of morning admin review
Lessons Learned
Live audio streaming requires minimizing turn-taking latency. By optimizing LLM prompt token counts and configuring sub-second semantic router models, we reduced response delays to less than 1.1 seconds, achieving a natural conversational flow.
⚠️ Business Challenge
High-net-worth clients needed secure, intuitive configurations for Bitcoin multi-signature vaults and complex inheritance timelock paths. Existing solutions were overly technical, lacked checkout workflows, and did not support automated devices credit allocations.
The Solution
We built a premium web portal featuring an 8-step Smart Vault Configurator. The application orchestrates hardware device key selection, automatically applies hardware tier credits, configures spending protocols for up to 10 heirs, and handles checkout processing via Stripe and BTCPay Server.
System Architecture
Next.js Client
Frontend App
AWS Multi-Sig
Vault Isolation
✅ Project Outcomes
Sleek vault setup interface
Secure timelock configurations
Dual Stripe + BTC checkout
Zero session configuration losses
Lessons Learned
Securing cryptocurrency platforms requires immutable logging and state validation. We implemented HMAC-signed magic-link auth structures and strict database field audits, completely eliminating potential token-manipulation vectors.
⚠️ Business Challenge
A fitness studio chain with over 2,500 inactive members (who had not visited or paid in 6+ months) lacked staff capacity to reach out personally. Standard bulk email newsletters yielded less than a 0.5% click-through rate and zero reactivations.
The Solution
We engineered an automated database reactivation workflow. The system pulls stale leads from HubSpot, generates personalized re-engagement pitches referencing their past favorite workouts using GPT-4, and schedules multi-channel SMS/email follow-ups. Positive replies automatically trigger scheduling calendar promotions.
System Architecture
HubSpot List
Stale Contacts
GPT-4 Engine
Personalized Hook
Make.com Router
Campaign Flow
GCal Promotion
Schedule Sync
Active MRR
Win-Back Metrics
✅ Project Outcomes
1,200 leads reactivated in 14 days
24% positive conversation response rate
108 memberships fully recovered
$15,400 in monthly recurring revenue saved
Lessons Learned
Reactivation outreach only converts if the messaging feels uniquely personal rather than mass-market. Pulling past parameters (like the signup month or preferred class type) and injecting them dynamically boosted positive responses by 4x.