Case studies
Real results from AI automation projects. Metrics are based on client-provided baselines and 4-8 week measurement windows.
Success stories
See how operational AI transforms workflows across industries.
Fintech Lead Qualification
Client: Series B fintech (invoice factoring)
Problem: SDR team manually qualifying 400+ inbound leads/week from landing pages. 6+ hours daily on initial outreach, low conversion (8%).
Solution: AI agent integrated with HubSpot that scores leads based on company financials, auto-sends personalized emails, and books qualified calls via Calendly.
KPI impact: 68% reduction in SDR time on qualification. Conversion to booked call: 8% → 19%.
Time-to-value: Deployed in 3 weeks
Healthcare Document Processing
Client: Regional hospital network (5 clinics)
Problem: Staff manually transcribing 200+ patient intake forms daily from PDF/scans. Errors causing billing delays and rework.
Solution: Document processing pipeline using GPT-4 Vision + custom validation rules. Auto-populates EHR fields with confidence scoring.
KPI impact: 85% reduction in manual data entry. Error rate: 12% → 2%. Staff reassigned to patient care.
Time-to-value: Deployed in 5 weeks
E-commerce Review Automation
Client: DTC skincare brand ($15M ARR)
Problem: Customer service team spending 15+ hours/week responding to product reviews on Amazon, Shopify, and Google.
Solution: Multi-channel review responder using n8n + GPT-4. Drafts personalized responses matching brand voice, flags negative reviews for human escalation.
KPI impact: Review response time: 48h → 4h. Customer satisfaction +22%. 12 hrs/week saved.
Time-to-value: Deployed in 2 weeks