A Pan-Enterprise Intelligent Operating Layer

Overview: No centralized algorithm to optimize chair utilization across multiple offices, each with unique provider schedules, procedure durations, and geographic patient demand.

Results: Multi-agent scheduling agent that ingests real-time availability from every PMS, applies enterprise-level rules (e.g., balance load, minimize patient travel), and automatically books appointments into the optimal slot across the entire organization.

Overview:  Acquired and new offices often use different billing modules or RCM tools, making it impossible to automate eligibility checks at scale. 

Results:  A verification agent that standardizes insurance data ingestion from multiple PMS and payer portals, runs batch or real-time eligibility checks, and returns structured results to each office’s native system—without custom integrations per location. 

Overview:  Many dental executives lack a real-time, enterprise-wide view of operations because critical data remains trapped in office-level silos – making it impossible to spot macro trends, diagnose underperformance, or make informed business adjustments. 

Results:  Unify every location into a real-time, hierarchical view of production, collections, denial rates, no-shows, treatment acceptance, and chair utilization, so you can optimize across the entire enterprise, not just practice by practice. 

Overview:  Traditional PMS systems store data but don't analyze it – leaving hidden risks like coding errors, predictable denials, patient attrition, and missed treatment acceptance buried where no one sees them until revenue is already lost. 

Results:  Surface invisible leakage across every location with advanced analytics, then act on it – turning hidden data into top-line revenue recovery and scale.