EDI Solutions

EDI AI Agent LLM Intelligence Trained on Millions of Real Healthcare Transactions

EDIVAL is trained on 4+ years of healthcare EDI intelligence, millions of de-identified X12 transaction files, payer validation outcomes, companion-guide rules, and exception-resolution patterns.

Built for real EDI teams — explain transaction failures, predict rejection risk, and recommend the next-best action before issues impact revenue.

837 Claims 835 ERA 270/271 Eligibility 834 Enrollment 276/277 Status 278 Prior Auth 275 Attachments SNIP L1–L7
EDI Intelligence Model LLM
EDI Files X12 Transactions
Validation Rules SNIP L1–L7
Payer Responses 835 ERA · 277
Exception Outcomes Error patterns
Root Cause Segment-level
Denial Risk CO-16 · CO-197
Next Action Fix · Route · Attach
QNXT Ready Mapped · Clean
4+ Years LLM Training Data
EDI operational intelligence powering model accuracy
Millions of EDI Transactions AI Training
De-identified X12 files used to train EDIVAL LLM
7+ Workflows Intelligent Automation
Claims, eligibility, enrollment, payments, auth, status, and attachments
SNIP L1–L7 AI-Powered Validation
Full validation rule intelligence embedded in the model
Cross-Functional Teams AI Copilot
EDI, RCM, payer ops, claims, support, and QNXT teams
24/7 AI Support Real-Time Intelligence
Always-on transaction analysis and resolution guidance
EDI AI Agent Features

EDI AI Agent Features That Automate EDI Operations

The HiPaaS EDI AI Agent coordinates file intake, validation, partner rules, exception handling, and QNXT handoff while keeping every transaction traceable and auditable.

EDI File Pickup AI Agent

Detects new files from SFTP, API, gateway, or shared folders and starts the processing flow automatically.

Transaction Detection AI Agent

Reads ISA, GS, and ST segments to identify 837, 834, 835, 270/271, 276/277, 278, or 275 files.

Trading Partner Intelligence AI Agent

Identifies sender, receiver, payer, clearinghouse, and partner-specific companion-guide requirements.

Validation Orchestration AI Agent

Calls parser, SNIP L1–L7 checks, control-number checks, duplicate checks, and mandatory field validation.

Rule Engine Decisions AI Agent

Applies payer, product, provider, member, service-line, and business rules before downstream submission.

Exception Explanation AI Agent

Explains failed files in plain language with segment-level evidence and recommended correction steps.

QNXT Mapping Readiness AI Agent

Prepares clean transactions for QNXT inbound mapping and routes rejected files to the right work queue.

Live Dashboard Actions AI Agent

Shows pickup, validation, rule status, acknowledgements, exceptions, and next-best actions in one view.

Why EDIVAL

Measured Results for EDI & Revenue Teams

82%
AI Denial Prevention
High-risk claims caught before submission
3×
Faster AI Root Cause
Faster resolution across all EDI workflows
100%
AI Acknowledgement
Automated TA1, 999, and 277 on every file
24/7
Real-Time AI Support
Always-on EDI analysis and guidance
98.6%
LLM Validation Accuracy
X12 SNIP rule prediction accuracy across transaction types
94%
Denial Prediction Precision
Correct denial risk classification before payer adjudication
97%
Exception Match Rate
LLM root cause matched to actual payer rejection reason
<2s
AI Response Latency
Average time to return root cause and next-best action
AI Agent Workflow

From EDI pickup to QNXT mapping with agent-driven workflow

A simple operating flow for claims, eligibility, enrollment, remittance, prior authorization, attachments, and claim status transactions.

01

Pick up and archive

Agent detects the inbound EDI file, saves the original copy, and starts tracking the transaction.

02

Identify file and partner

Transaction type, sender, receiver, payer, provider, and trading partner profile are identified.

03

Validate and enrich

Parser, SNIP L1–L7, duplicate, control, code-set, and companion-guide checks are executed.

04

Apply rule engine

Agent applies partner rules and business rules to decide pass, reject, hold, or manual review.

05

Map and pass to QNXT

Clean transactions are converted to QNXT-ready mapping format and submitted to the inbound interface.

06

Monitor and acknowledge

Dashboard updates status, acknowledgements, errors, work queues, and the full audit trail.

● Agent Decision View

Every file gets a clear next action.

Pass

Validated file is ready for QNXT mapping and submission.

Fix

Agent explains the segment issue and recommends correction.

Review

Risky or incomplete transactions move to the right work queue.

Acknowledge

TA1, 999, business response, and audit records are tracked.