Coverage Check

A mid-sized insurer wanted to automate the coverage verification process for high-frequency claims. omni:us empowered the highly manual claims coverage check process to automate the process for low-mid complex high-frequency claims.

Warning-2

Issue

  1. Inefficient manual process of checking the coverage on high-frequency and low to mid complexity claims
  2. Lengthy and ambiguous check results in numerous additional status request by customer
  3. Complex landscape of product generations and terms/conditions results in frequent false manual coverage decisions resulting in increased leakage
Target

Impact

  1. Redeployed staff from manual and time-intensive tasks to more sophisticated, customer-facing work
  2. Increased ratio of black box processing in the claims handling process reducing overall claims handling costs and end-to-end process time significantly by applying automation procedures
  3. Decreased leakage potential significantly by increased identification of claims with valid rejection reasons 
  4. Reduce amount of interactions with claimant  for high volume / low complexity claims
Code

Solution

  1. Consolidated terms/conditions and policies of various product generations to be digitally available
  2. Extracted relevant criteria from the policy and the terms and conditions (e.g. insured objects and values, exclusions)
  3. Trained the AI to determine relevant coverage check details from underlying terms/conditions and policies database
  4. Automated decision based on matching provided claim notification information (e.g. invoices, damage descriptions) and the trained conditions
  5. Automated propagation of AI decision directly into claims process management system to trigger relevant next interaction / information steps
Overview

Coverage Check

coverage decision graph
  1. Detect Claim type
  2. Identify Policy match
  3. Classify Submissions
  4. Extract relevant information
  5. Structure cost items
  1. Group costs by benefit type
  2. Categorize losses by peril
  3. Identify circumstances
  4. Enrich claim with identified risk exposures
  • Applicable Coverages
  • Insured perils
  • Exposures
  • Coverage Limits
  • Pre-conditions of policy
  1. Validate coverage conditions
  2. Confirm obligations
  3. Identified rejection reasons
  4. Cost adjustment due to coverage exclusions & limits
  5. Detect information gaps & information requests

Our Products

No-Touch Automation01

Agentic Co-Pilot02

Leakage Reduction03

Insurance AI Modeller04

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Backed by data from leading insurers, this report highlights where insurers are falling behind — and how AI is transforming claims subrogation. 

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Latest Resources

Benchmark Report

The state of subrogation 2025

Subrogation inefficiencies cost insurers billions annually.
Backed by data from leading insurers, this report highlights where insurers are falling behind — and how AI is transforming claims subrogation.

Latest Case Studies

54% No-Touch Automation in Global Marine Claims

70% No-Touch Automation in P&C 

50% Faster Handling of Complex Claims with Agentic Co-Pilot​

EU Top 10 Insurer Deploys Custom AI Models in Weeks ​

Recoveries Boost & Leakage Reduction DACH Top 5

Our Products

01

No-Touch Automation

02

Agentic
Co-Pilot

Agentic Co-Pilot

03

Leakage Reduction

04

Insurance AI Modeller