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    Operations analyst monitoring automated claims adjudication dashboards
    Claims Processing Automation

    Claims Processing Automation

    We build claims engines that ingest EDI 837, adjudicate against plan rules, and return 835 remittance with minimal human touch — plus a denial-prediction model that flags problems before they become appeals.

    HIPAA-ReadyEDI X12 5010SOC 2 Type IIAudit Logged

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    Lera
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    TAP
    Xtrium
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    Why manual adjudication doesn't scale

    For payers, TPAs, and self-funded administrators, every claim that drops to manual review costs money and time. The bottleneck is rarely the payment itself — it's the intake parsing, the eligibility and benefit matching, the plan-rule evaluation, and the pended-claim triage that eat examiner hours. Legacy adjudication systems handle the easy claims and dump the rest into a queue.

    We build claims automation that raises the straight-through-processing rate: EDI 837 intake normalized and validated on arrival, benefit and provider matching automated, plan and pricing rules evaluated in a transparent engine, and edge cases routed with the reason they pended. A denial-prediction layer catches likely rejections upstream so they can be corrected instead of appealed.

    What it is

    Adjudication without the examiner bottleneck

    Claims processing automation takes an inbound claim from EDI intake through eligibility, benefit, and pricing evaluation to a payment or denial decision — with as little manual handling as the plan rules allow.

    The measure of success is the straight-through-processing rate and the accuracy of the automated decisions. We build engines that are both fast and explainable, so examiners handle genuine exceptions and every decision withstands audit.

    From 837 intake to 835 remittance

    Auto-adjudication, rules transparency, and denial prediction in one pipeline — so examiners work the exceptions, not the routine.

    Claims adjudication architecture from EDI intake to remittance

    What we build into your claims engine

    Each capability pairs an automation outcome with the EDI standard or rule mechanism behind it.

    15-Minute Scoping Call

    EDI 837 intake & normalization

    Inbound professional, institutional, and dental claims parsed from the X12 5010 837 format, validated against structural and business edits, with 999 and 277CA acknowledgments returned to submitters automatically.

    Auto-adjudication engine

    A transparent rules engine that evaluates eligibility, benefits, provider network status, and pricing to adjudicate clean claims straight through, pending only the ones that genuinely need an examiner.

    Denial prediction & prevention

    A model that scores incoming claims for denial likelihood by procedure, diagnosis, and provider pattern, surfacing correctable issues before adjudication so avoidable denials never hit the appeal pipeline.

    835 remittance generation

    Electronic remittance advice produced in the X12 835 format with accurate CARC/RARC reason codes, adjustments, and payment details reconciled to the adjudication result.

    Fraud, waste & duplicate detection

    Duplicate-claim logic, unbundling and upcoding flags, and anomaly detection integrated into the adjudication flow, with a full audit trail on every automated decision.

    Examiner workbench & analytics

    Pended claims routed with a plain-language reason and the rule that triggered them, plus dashboards for STP rate, turnaround time, and denial categories to tune the engine over time.

    Where it runs

    Claims automation use cases

    Health plans

    Medical claim adjudication across commercial and government lines.

    Third-party administrators

    Multi-client adjudication with plan-specific rule sets.

    Self-funded employers

    Automated processing for self-insured benefit plans.

    Dental & vision

    Specialty adjudication with 837D and plan-specific benefit logic.

    Pharmacy benefit workflows

    Coordinated adjudication alongside medical claims.

    Reinsurance & stop-loss

    High-cost claim identification and downstream reporting.

    Where claims automation pays off

    The lever is straight-through-processing rate. We instrument it end to end so gains are measurable — targets are validated against your claim mix in discovery.

    STP
    Straight-through-processing rate is the primary lever
    837/835
    Native EDI intake and remittance
    100%
    Automated decisions carry an audit trail

    Compliance-First Healthcare App Development Services Backed by Global Standards

    15-Minute Scoping Call
    01HIPAA logo

    HIPAA

    Health Insurance Portability and Accountability Act

    Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.

    02GDPR logo

    GDPR

    General Data Protection Regulation

    Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.

    03FHIR logo

    FHIR

    Fast Healthcare Interoperability Resources

    Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.

    04HL7 logo

    HL7

    Health Level Seven International

    Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.

    05HITRUST logo

    HITRUST

    Health Information Trust Alliance

    Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.

    06HITECH logo

    HITECH

    Health Information Technology for Economic and Clinical Health Act

    Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.

    07SaMD logo

    SaMD

    FDA Software as a Medical Device

    Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.

    08MDR (EU) logo

    MDR (EU)

    Medical Device Regulation (European Union)

    Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.

    09SAMHSA logo

    SAMHSA

    Substance Abuse and Mental Health Services Administration

    Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.

    Standards we build against

    Claims automation standards

    X12 837X12 835X12 276/277CARC / RARCHIPAAHITECH
    Our Process

    How we deliver a claims automation build

    Intake, rules, and remittance are built and validated in parallel against real 837 samples.

    1.

    Adjudication discovery

    We map your plan designs, current STP rate, pend reasons, and examiner workload, then design the rules model and the automation boundary before building.

    Rules-transparent
    2.

    Intake & rules engine

    We build 837 intake, validation, and the auto-adjudication rules engine, testing against real claim samples to confirm decisions match your policy.

    5010-compliant
    3.

    Prediction & remittance

    The denial-prediction layer and 835 generation, with the examiner workbench for the exceptions the engine intentionally pends.

    Straight-through
    4.

    Go-live & STP tuning

    Phased launch with STP-rate and turnaround dashboards, plus ongoing rule and model tuning as plan designs evolve.

    Always audit-ready

    Featured case study

    Read Case Study

    Lera Health: compliant women's health platform

    Related proof of compliant delivery: Lera Health is a patient-facing platform, not a claims engine, but building its secure, auditable data layer demonstrates the PHI handling and decision-traceability rigor an adjudication system requires.

    Lera Health app across desktop and mobile
    Why Partner With Us

    Why payers pick Agnotic for claims automation

    We bring EDI adjudication depth and explainable-automation engineering so your STP rate rises without losing auditability.

    15-Minute Scoping Call

    Auditable by Design

    Every automated decision carries the rule and data that produced it — built for compliance review, not opaque black-box logic.

    EDI Adjudication Depth

    837 intake, 835 output, CARC/RARC semantics, and pricing logic are our starting point, not a learning curve billed to you.

    STP That Actually Moves

    We target measurable straight-through-processing gains validated against your real claim mix, not demo data.

    Explainable Automation

    Prediction and adjudication that examiners can understand and override, so trust in the system grows instead of erodes.

    Our relevant experience

    Adjudication that scales without losing the audit trail

    Frequently Asked Questions

    A core adjudication engine with 837 intake, a configurable rules engine, and 835 output typically starts in the mid six figures given the complexity. Adding denial prediction, FWA detection, and multi-plan support extends it. We scope against your plan designs and claim volume in discovery.

    Ready to raise your straight-through rate?

    Tell us your plan designs and current STP rate. We'll return a claims-automation plan with rules scope, prediction approach, and a realistic timeline.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com