AI/ML Enabled Claims Processing for a Large-Scale Insurance Claims Management Provider  

Banner image

Client Overview

The client is a U.S. based insurance claims management provider handling residential, commercial, and catastrophe claims. Manual effort was delaying their claims adjudication and increasing the turnaround time across the claims process.

Over the past three decades, the company has grown from a regional daily claims operation into a nationwide full-service adjusting firm supporting insurance carriers of all sizes.

Their operations teams managed delays in claim processing, dispatch coordination, and document handling. Insured customers had limited visibility into claim progress. This added more dependency on manual follow-ups and made day-to-day coordination harder to manage.

Claims Moved Faster Than the Process Supporting Them

The claims process involved multiple handoffs, and without a connected workflow, the client spent more time following up on claim movement and processing status.
01

Inspection Delays

Dispatch teams waited on inspection updates before claims could move forward.

02

Status Follow-Ups

Claims staff spent hours following up across teams for status updates.

03

Limited Progress Visibility

Insured customers struggled to track claim progress clearly.

04

Repetitive Coordination

Operational teams handled repetitive coordination work throughout the day.

05

Approval Delays

Dispatch approvals slowed down when updates were delayed between teams.

06

Disconnected Workflows

Claims operations lacked a connected process to manage dispatch and inspections.

Customer Updates Depended on Back-and-Forth Coordination

The delays did not stay limited to one stage of the claims process. They added pressure throughout inspections, and customer communication activities.

Coordination Overload

Coordination Overload

Claims teams regularly reviewed updates and managed documentation workflows to keep cases progressing. A large portion of operational time went into coordination activities rather than actual resolution.

Inspection Delays

Inspection Delays

Inspection updates moved across multiple teams before claims could proceed to the next stage. Delays between dispatch coordination and inspection updates slowed claim processing timelines across the value chain.

Inconsistent Communication

Inconsistent Communication

Insured customers often depended on operational teams for claim status updates. Without a connected process, maintaining consistent communication across claim stages became increasingly difficult.

Operational Pressure

Operational Pressure

The existing claims process created inconsistencies between workflows. They found it harder to maintain processing speed between inspections and claim handling teams.

We Built a Faster Claims Process With AI-Led Automation

Using .NET, Angular, and React Native, Indium digitized key parts of the claims process through AI/ML automation solutions. It helped connect claims operations into an easier-to-manage process.

AI-Enabled Claims Dispatch

Automated claims dispatch workflows helped reduce dependency on manual coordination and improved how claims moved between operational teams.

01

Mobile Inspection Workflows

A mobile-friendly application enabled field inspectors to assess damage and update inspection details directly from the field.

02

Dedicated Insured Portal

A dedicated customer portal gave insured customers better visibility into claim progress and communication updates.

03

Digitized Claims Operations

Key parts of the claims process were digitized to reduce document-heavy workflows and improve operational coordination.

04

Results Achieved Through the New Claims Workflow

The implementation improved day-to-day claims operations through automated dispatch workflows and faster coordination between teams. The client could respond faster and manage claim movement with less operational effort.

0 1

100% Automated Claims Dispatch

Claims dispatch activities moved through an automated workflow and reduced dependency on manual coordination and repetitive operational follow-ups.

0 2

Automatic Claim Triggering

Claims management and inspection activities were automatically triggered based on workflow progression. This helped operational teams move claims forward faster.

0 3

Reduced Manual Work

Digitized workflows reduced dependency on scattered documentation and manual coordination between operational teams.

0 4

Faster Coordination

Operational teams could access inspection updates and claim movement information faster throughout the workflow.

Claims Teams Got Out of Coordination Mode

The client now manages claims operations through a more connected workflow across dispatch, inspections, and customer communication activities. Their teams spend less time coordinating updates manually and more time keeping claims moving through the process.

The new setup gives insured customers better visibility into claim progress and helps the client manage claims operations more consistently throughout the process.

About Indium

Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.

With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.

info@indium.tech