Our Work

A US-based car dealership group with multiple locations was losing sales leads after hours and during peak showroom traffic. Their BDC team couldn't keep up with inbound calls — service appointments were missed, test-drive requests went unanswered, and trade-in inquiries dropped off.

Deployed an AI voice agent that answers every inbound call within 2 rings. The system qualifies sales leads, books service appointments, captures trade-in details, routes urgent requests to the right department, and sends instant text confirmations to callers. Fully integrated with their DMS and CRM.

38% increase in booked service appointments within the first month. After-hours lead capture went from near-zero to 120+ qualified leads per month. Zero missed calls across all locations. The dealership reported the AI paid for itself within the first two weeks of deployment.

Small to mid-size service companies were missing 30–50% of inbound calls during peak demand periods — storms, cold snaps, emergencies. Every missed call was a lost job worth $400–$800.

Built an AI voice agent that answers calls in 2 rings, captures caller information, classifies urgency, sends text confirmations, and routes emergencies to on-call technicians. Integrated with GoHighLevel for CRM and workflow automation.

System handling 1,000+ calls per month across multiple service businesses. One client captured 23 emergency calls during a single cold snap that would have gone to voicemail. Zero missed emergency calls since deployment. Average ROI payback within the first month of service.

A multi-provider medical practice needed to automate front desk phone operations while maintaining strict compliance boundaries. No clinical decisions could be automated — only administrative routing and scheduling.

Designed a phased AI voice system for inbound call handling, patient classification, appointment routing, and after-hours urgent escalation. Human-in-the-loop design ensures all clinical decisions remain with staff.

Projected to reduce front desk call handling time by 40% while maintaining 100% human oversight on clinical decisions. HIPAA-aware architecture with full audit logging. System design completed, awaiting client infrastructure approval.

A mid-size US manufacturer needed a custom software system to automate quoting, detect anomalies in production data, and surface insights from 150+ engineering reports buried across their ERP, file servers, and email archives. Off-the-shelf tools couldn't handle their domain-specific workflows.

Built a custom AI platform from scratch: ERP data ingestion pipeline, a retrieval-augmented knowledge system over engineering documents, and an anomaly detection layer for production metrics. End-to-end development including UI, API layer, and cloud infrastructure.

Time-to-quote reduced by 40% in initial testing. The knowledge system surfaces relevant historical jobs and risk factors that were previously invisible. Anomaly detection catches production deviations 6 hours earlier than manual review. Full production deployment in progress.