EXECUTIVE TEAMS
Transform your claims lifecycle
OPERATIONS TEAMS
Reduce costs and increase productivity
DATA TEAMS
Enrich claims with actionable data
SUPPORT TEAMS
Increase accuracy and reduce errors
Integrate AI across your entire claims lifecycle
ENTERPRISE ROI
Within weeks of deployment, ProPay starts returning measurable ROI by cutting claim leakage, eliminating unnecessary dispatches, and accelerating cash flow. Savings compound over time as the AI continuously learns from your data, driving down costs and improving accuracy month after month. The result isn’t just a cost reduction — it’s a self-funding operational upgrade that boosts margins, customer satisfaction, and competitive advantage.
Reduced
truck rolls
Increase in productivity
Cut incorrect dispatches
Claims processed
Years of human work saved
Savings analyzed
AI AGENTS
A constellation of
multi-agent architecture
ProPay doesn’t rely on a single monolithic model — we use task-specific AI agents that specialize in distinct stages of the claims lifecycle.
TRIAGE AGENT
Triage
Avoid unnecessary truck rolls
LLM-powered NLP parses customer chats, images, and service histories to pre-diagnose issues and recommend or reject dispatch helping you avoid unnecessary truckrolls for recalls, OEM warranty, and replacements.
Cut incorrect dispatches by up to 55%
Avoid calls for up to 16% of customer instructs
COVERAGE AGENT
Cover
Determine if a repair is contract-covered before it’s approved
Policy-trained AI cross-references claim details against contract clauses with >95% classification accuracy.
Eliminates up to 13% unnecessary payouts
ADJUDICATION AGENT
Adjudicate
Automate the pay/deny decision
Multi-model ensemble evaluates contract validity, parts usage, and repair reasonableness to approve or flag payments.
Flag and classify up to 50% of claims with human-in-the-loop
Contracts
Parts
Technician Notes
Don't pay
Pay

1
Cross-checks contract terms, technician notes, and parts data
2
Flags insufficient repair info or contract violations
Diagnostic
Repair Reco
Part Number
Part Price

1
Reads technician comments to identify installed parts
2
Uses Parts API for nearest match, price, and part number
PARTS AGENT
Predict Parts
Source and price parts automatically
ML-driven entity extraction identifies parts from technician notes and customer symptom, matchings SKUs to supplier databases via API.
Claims with parts found
Parts found for each claim