How a Healthcare Network Slashed Claim Denials 67% With AI Employees
AI employees automate prior authorization, claim scrubbing, and denial management — cutting denials from 11.8% to 3.9% and recovering $2.1M annually
Real results from AI employees working across industries. Interactive deep dives into autonomous workforce performance.
AI employees automate prior authorization, claim scrubbing, and denial management — cutting denials from 11.8% to 3.9% and recovering $2.1M annually
An AI employee transformed personalization, cart recovery, and product recommendations — driving $2.1M in incremental revenue within 6 months
A B2B SaaS company with 12,000 accounts deployed AI employees to detect churn signals, automate retention workflows, and deliver proactive outreach — reducing annual churn from 18.4% to 5.3%.
An anonymized case study showing how a Series B payments company deployed AI employees to automate identity verification, document processing, and compliance checks — cutting onboarding time 99% while improving approval accuracy.
A 120-attorney litigation firm deployed an AI employee to handle first-pass document review, privilege detection, and relevance scoring — slashing a $2.1M annual eDiscovery budget to $567K while improving accuracy.
A regional freight broker deployed AI employees to automate carrier matching, rate negotiation, and shipment tracking — transforming a 12-person operations team into a lean, 24/7 logistics powerhouse.
A 340-unit residential portfolio deployed AI employees to automate tenant screening, lease processing, and maintenance coordination — filling units 3x faster while cutting operational costs 41%.
A precision parts manufacturer deployed AI employees for predictive maintenance and quality control — slashing defects, eliminating unplanned downtime, and saving $1.2M annually in scrap costs.
An anonymized case study showing how AI virtual employees transformed a mid-market staffing firm's recruiting pipeline — from sourcing to offer letter in 11 days instead of 23.
AI employees handle scheduling, reminders, and rebooking — reducing no-shows and reclaiming $2.1M in lost revenue across 12 locations
An anonymized case study: AI-powered returns prevention reduced return rates from 24.3% to 15.1% while cutting processing costs 62%
A mid-market travel insurer deployed AI employees to automate claims triage, adjudication, and payment — achieving 57% straight-through processing and 98% accuracy across 400,000 annual claims.
A Series B payment processor deployed AI employees to detect fraud in real-time, slashing false declines and saving $2.4M annually
A Series B project management platform deployed AI employees to automate customer onboarding — cutting time-to-value from 14 days to 3 and reducing churn 34%.
A 40-person legal tech SaaS replaced manual contract review workflows with VEP AI employees — reducing review time from 3.2 hours to 34 minutes per contract while improving accuracy to 96.8%
A mid-size fulfillment company deployed AI employees to handle order tracking queries — reducing support costs by 68% while scaling to 1,800 daily shipments
A 40-provider virtual clinic deployed AI employees to handle 1,200 daily patient inquiries — achieving 8-minute average response times and freeing clinical staff for complex care.
An anonymized case study: one AI support employee replaced a 5-person night shift and resolved 89% of tickets autonomously
Case study: a startup deployed VEP on Comino Grando — full AI team in 5 days.
An expat family in Spain deployed a personal AI assistant to manage documents, school deadlines, medical appointments, and visa renewals for 6 family members. After 90 days: zero missed deadlines, 47 documents tracked, complete peace of mind.
Most AI agents start fresh every conversation. VEP workers compound knowledge automatically. Here's the architecture behind persistent AI memory.
After deploying 200+ AI workers across industries, these are the failure modes that kill projects — and the architectural decisions that prevent them.
Enterprise deals stall because stakeholders need different answers at different times across different time zones. VEP monitors every thread, maps the buying committee, and drafts context-aware follow-ups in 90 seconds.
Your marketing team spends 26 hours a week adapting content across channels. VEP generates channel-native assets in under 3 minutes — one marketer ships what used to take a team of five.
A Series A payment platform deployed a VEP AI worker to handle L1 support. Response times dropped from 4 hours to 18 seconds. CSAT jumped 30 points. Monthly cost fell from $15K to $3.2K.
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