EndorsedendorsedOngoing

LLM-powered OCR and Document Classification for Life & Health Insurer

Services Covered:

AI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

Financial Services

Duration
Duration

17 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 March 2025

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
76/100
Good

Project Capability Score (PCS) estimates how capable BlueLabel is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Assurity Group, Inc.

mapLincoln, United States of America

Project Summary

BlueLabel provided AI development services to a life and health insurance carrier, building an LLM-assisted OCR and document classification solution to support claims adjudication. The team delivered a working proof of concept within days and proceeded to a full engagement that included integration to match extracted content with policy data. The solution improved efficiency, reducing task times from roughly 40–45 minutes to 10–12 minutes, and BlueLabel met deadlines and stayed on budget while offering post-implementation support.

Key Challenges

  • Handle increased claims adjudication volume without adding staff
  • Implement AI integrations for matching without in-house expertise

Project Deliverables

  • Working proof of concept
  • LLM-assisted OCR and image/text extraction
  • Document classification system
  • Policy-matching integration
  • Post-implementation support, monitoring, and optimization

Project Solution

BlueLabel developed an AI solution beginning with a rapid proof of concept and then moved to a full engagement. They implemented LLM-driven OCR and image/text extraction using Gemini and Llama Cloud as the LLM engines to perform document classification and to match extracted information against the client's policy data. The engagement included integration work, and BlueLabel provided post-implementation support, monitoring, and optimization throughout the engagement. The vendor staffed the project with two developers, a project manager, a business analyst, and a solutions architect.

Project Outcome

  • Tasks reduced from 40–45 minutes to 10–12 minutes
  • Some manual tasks eliminated through automation
  • Project met deadlines and stayed on budget with thrice-weekly stand-ups
  • Vendor rapidly learned domain knowledge and partnered on the best solution

Platforms

  • AI/ML PlatformAI/ML Platform
  • CloudCloud
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • Google Cloud Platform (GCP)Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The solution has improved efficiency and automation, reducing the time spent on tasks from 40–45 minutes to 10–12 minutes. BlueLabel meets deadlines and stays on budget, holding regular stand-up meetings to ensure smooth progress. Their ability to learn and apply newer technologies is impressive.

Eric Otterstein

SVP & CIO

Note: This endorsement is based on publicly available client feedback from external review sources.

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