Case Study · Insurance 5 months Perth, WA

AI-Powered Document Processing Platform

Replaced manual document review with GPT-4 powered extraction. 85% faster processing, 98% accuracy, $2.4M in annual savings.

AI DevelopmentCustom Software DevelopmentProcess Automation
  • Perth Based. Australia Wide.
  • 18+ Years in Custom Software
  • Fixed-Price Delivery
  • Full Code Ownership
Australian owned and operated

Built here. Your data stays here.

  • No offshore development. Everything is written by our own team in Australia. Nothing is subcontracted overseas.
  • Your data stays onshore. Hosted in Australia, on infrastructure you own, under Australian law.
  • Every state, not just ours. Perth, Melbourne, Sydney, Brisbane, Adelaide and everywhere between.
Client Context

National insurance provider: claims and policy administration

A major Australian insurance company handling over 50,000 documents per month. Claims forms, policy applications, medical reports and correspondence, almost all processed by hand.

A team of 35 staff spent most of their day reading documents, extracting key data, and keying it into the claims management system. Error rates sat between 8–12%, turnaround was 3+ business days per document, and overtime costs were growing every quarter.

The Challenge

What needed to change

The volume was unsustainable. 50,000 documents a month, 47 different document types, and every one needed a human to read it, pull out the right fields, and key it into the system. Quality control meant a second person checking the first person's work.

Error rates were climbing. Compliance obligations meant extraction errors on claims or medical documents created real downstream risk. But the manual process was the error source: fatigue, inconsistency, and sheer volume were working against the team.

Turnaround was blowing out. 3+ business days per document had become the norm. Claimants were waiting longer, internal SLAs were being missed, and the operations team was burning out.

The Solution

What we built

An intelligent document processing pipeline that classifies, extracts, validates and routes documents automatically, with human review only for low-confidence items.

AI Classification Engine

Automatically identifies the document type from 47 categories (claims forms, medical reports, policy applications, correspondence) using fine-tuned GPT-4 models.

Data Extraction Pipeline

Extracts key fields (policy numbers, dates, amounts, medical codes) with validation against business rules. Low-confidence extractions route to human review.

Automated Routing

Processed documents flow directly into the claims management system. The right data lands in the right record without manual data entry.

Monitoring Dashboard

Real-time visibility into processing volumes, accuracy rates, confidence scores and exception queues for operations management.

Built with:
PythonGPT-4AWS LambdaReactPostgreSQLDockerTerraform
In Practice

How it works

1

Document arrives

Documents enter via email, upload or API. The system accepts PDF, scanned images and structured forms.

2

AI classifies the document

The classification model identifies the document type and routes it to the correct extraction pipeline.

3

Data extraction and validation

Key fields are extracted and validated against business rules. Confidence scores determine whether the result is auto-approved or flagged for review.

4

Human review (if needed)

Low-confidence extractions surface in a review queue. Staff correct or confirm, and corrections feed back into model improvement.

5

Data flows into claims system

Validated data writes directly into the claims management platform via API. No manual re-keying required.

Results

Measurable outcomes

85% Reduction in document processing time
98% Data extraction accuracy rate
$2.4M Annual cost savings
15x Increase in processing throughput
35→8 Staff redeployed to higher-value work
3 days → 12 min Average turnaround per document

HELLO PEOPLE transformed our document processing from a bottleneck into a competitive advantage. What used to take days now happens in minutes, and our team can focus on the work that actually requires human judgment.

Chief Operations Officer Australian Insurance Provider
Delivery

How we delivered it

1

Discovery & Analysis

3 weeks

Comprehensive document audit across all business units. Identified 47 document types, mapped processing workflows, and benchmarked current processing times and error rates.

2

AI Model Development

6 weeks

Developed and fine-tuned custom classification and extraction models using GPT-4, trained on real document samples. Built validation pipelines to meet compliance accuracy requirements.

3

System Integration

4 weeks

Connected the AI pipeline to existing claims platform, document storage and reporting tools. Built APIs for seamless data flow between systems.

4

Testing & Validation

4 weeks

Ran parallel processing (AI alongside manual) for 4 weeks. Refined models based on edge cases and established confidence thresholds for human review routing.

5

Rollout & Training

3 weeks

Phased rollout across business units with staff training. Established monitoring dashboards and feedback loops for continuous model improvement.

Meet the person

The person behind the work

Your project, handled by the founder from start to end.

HELLO PEOPLE designs, builds and looks after AI, software, app and data solutions for Australian businesses, with senior expertise on every project and a scope agreed before work starts. For AI, that means working on your own data, with a person able to check every answer.

Since 2007, HELLO PEOPLE has delivered more than 100 projects from Perth for small and medium businesses across Australia: custom software and apps, system integrations, data migrations, reporting and dashboards, and AI that works inside the systems a business already runs.

I lead every engagement myself. I trained in accounting before moving into IT, hold accounting and IT professional qualifications and an MBA, and bring more than 20 years of experience across sales, service delivery, inventory and compliance. I am also a PhD candidate in AI at Curtin University, researching retrieval-augmented generation (RAG), so the technology is always judged by what it does for the business.

  • An old-fashioned service

    Small and boutique. The person who scopes your AI project is the person who builds it, and the same person checks its answers before your team relies on them.

  • Quick responses

    No ticket queue and no account manager in between. You hear back within one business day, usually sooner.

  • A long-term partner

    The first AI project is the start, not the end. When you need the next system, integration or report, you call the same person, who already knows your business.

Similar Project?

Want something similar for your business?

Tell us about your industry, your workflows, and what you want to achieve. We will scope it, quote it fixed-price, and build it.

Tell us what you want to fix

What industry are you in? What systems do you use? What is the biggest operational problem you want solved? We will come back with a plan and fixed-price quote.

Prefer a quick chat? Call 0425 531 127. We answer the phone in Perth.