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CASE STUDY

Reducing reimbursement turnaround through intelligent adjudication

About the Customer

This customer is one of Indonesia's leading providers of health and life insurance, serving individual and group customers across a large member population and provider network. The organization manages significant reimbursement claim volumes across multiple health products.

Summary

The customer wanted to reduce claim turnaround times while improving adjudicator productivity. Health reimbursement claims required extensive manual effort to categorize expenses, reconcile invoices, identify missing information, and prepare claims for adjudication.

Kamios orchestrated the entire reimbursement workflow, automating document extraction, categorization, reconciliation, and NIGO management while ensuring adjudicators remained responsible for complex decisions and exceptions.

1 Extraction
2 Categorization
3 Reconciliation
4 Turnaround

The Challenge

The insurer wanted to reduce reimbursement turnaround times without increasing adjudication risk. While adjudicators were responsible for making claim decisions, much of their time was spent preparing files, validating information, and managing missing documentation rather than assessing claims. This resulted in:

  1. 01

    Manual Categorization

    Manual categorization of claim expenses

  2. 02

    NIGO Volume

    High volumes of NIGO claims

  3. 03

    Follow-Ups

    Repeated follow-ups for missing information

  4. 04

    Data Inconsistency

    Inconsistent invoice and supporting document data

  5. 05

    Capacity

    Limited adjudicator capacity for complex cases

The Kamios Approach

Kamios orchestrated intake, extraction, categorization, NIGO management, adjudication support, and claim summarization under a single mandate-driven workflow. The solution combined:

Medical Document Processing

Extracted data from invoices, receipts, and medical records.

Expense Categorization

Mapped expenses against benefits and coverage rules.

Claims Reconciliation

Validated totals and identified discrepancies.

NIGO Management

Generated targeted requests for missing information.

Duplicate Detection

Identified related or potentially duplicate claims.

Settlement Recommendations

Prepared recommendations and escalated exceptions.

Business Impact

Kamios reduced the administrative effort required to prepare claims for adjudication.

Better-prepared files and more targeted information requests helped accelerate claim processing while allowing adjudicators to focus on higher-value assessment activities.

Outcomes

Who is Kamios?

Kamios is the AI agent orchestration platform purpose-built for Insurance and regulated industries: one governed place for insurers, banks and financial services firms to run AI agents on live cases, from claims and underwriting to onboarding and credit decisions, with every action declared, evidenced and metered. A Neutrinos business, built by founders with decades in insurance and banking technology.