AI Intelligence Center
MASE AI — embedded intelligence across claim lifecycle, enrollments, and infrastructure
MASE AI Engine — v3.1
8 active modules · Embedded across all workflows · Not a chatbot
Active Intelligence Feed
Updated every 15 minAetna Behavioral Health Pre-Auth Denials Trending Up
17 claims denied by Aetna in the past 7 days for missing pre-authorization on CPT 90834–90837. This is a 340% increase vs. prior 7-day period. Impacted organizations: Horizon Behavioral Health Partners.
Medicaid Frequency Limit Creating Systematic Write-Offs
8 claims denied across 3 organizations in past 30 days for frequency limit exceeded. RULE-005 (Medicaid Frequency Check) would have prevented all 8. Zero recovery rate on these claim types.
MedBridge Cigna Enrollment Stalled — $42k/mo Revenue Blocked
ENR-003 (MedBridge × Cigna) is blocked due to 2 missing documents: Trading Partner Agreement and Provider Roster. MedBridge reports roster is ready — only TPA signature needed.
UHC TPA Response Overdue — 14 Business Days Elapsed
TPA-002 (Aetna) and TPA-006 (UHC) are both awaiting payer response past expected SLA. Escalation recommended. UHC direct connect would unlock routing for 18,640 claims/month.
Claim.MD Timeout Risk — Consider Redundant Routing Path
Claim CLM-2025-001815 experienced a hard timeout resulting in unknown payer state. This is the 3rd Claim.MD timeout event in 30 days. Architecture review recommended for payers with native TPA alternatives.
UHC Modifier 26/TC Pattern — 12 Claims At Risk This Week
Predictive model detects 12 pending UHC claims with professional/technical component code pairs lacking required modifiers. Collectively at risk: $38,400. RULE-003 would intercept these at scrub time.
AI Module Registry
Claim Risk Scoring
ML-powered risk score assigned to every claim before submission. Predicts rejection probability from 0–100.
Rejection Prediction
Pre-submission prediction of payer rejection based on historical patterns, payer edits, and provider history.
Denial Pattern Analysis
Clusters denial codes across payers and providers to surface systematic issues requiring rule or workflow changes.
Payer Blocker Summaries
Natural language summaries of what is blocking each payer relationship — enrollment gaps, missing docs, TPA issues.
Enrollment Readiness Scoring
Scores each enrollment on document completeness, payer response SLA, and estimated activation date.
Revenue Leakage Detection
Identifies systematic patterns causing unrealized revenue — frequency limits, uncaught denials, missing enrollments.
Migration Readiness Insights
Recommends optimal sequencing for moving payers from Claim.MD to MASE-native connectivity.
Transaction Failure Clustering
Groups transaction failures by root cause — adapter issues, payer timeouts, data quality gaps — for efficient resolution.