Automating Insurance Claims with an AI Agent

This NDIS registered provider spent a massive amount of time preparing property damage insurance claims. Osher Digital automated the claim preparation drafting process with an AI Agent.


Overview

Strive Community Care’s team were spending a massive amount of time preparing property damage insurance claims.Tedious admin was pulling staff away from high-value care work. Leadership approached Osher Digital to create an AI Agent to draft the documentation.

About the Client

Strive Community Care is a medium-sized NDIS provider focused on delivering high-quality support for children and young people across Australia.

Problem

Strive staff deal with a high number of property damage events. Each claim required:
  • Pulling incidents from ClearCare
  • Gathering reports, quotes, photos and supporting docs
  • Extracting the right details
  • Manually filling a full insurance claim form
It had been a pain point for years, chewing up staff time and slowing down turnaround. Leadership wanted admin time reduced so their team could focus on actual care, not paperwork.

Solution

We built an end-to-end AI Agent that handles the heavy lifting.
  • ClearCare webhook triggers the workflow whenever a new incident is logged
  • All documents (incident reports, quotes, images) are fed into OCR
  • An AI extraction agent identifies key fields: dates, costs, responsible person, damage details
  • Data flows into a Carbone template, auto-generating a completed insurance claim form
  • Output is delivered back to Strive ready to send to insurers
The technical stack for this project consisted of the following:
  • Self-hosted n8n running on Docker
  • Locally hosted Carbone.io templating system
  • Open Router to allow switching LLMs
  • Clear Care CRM integration via webhooks.
The biggest hurdle was ClearCare’s lack of API documentation, so we engineered a custom webhook workaround to keep the automation clean and reliable.

Results

Eearly outcomes are already clear:
  • ~70% reduction in manual data entry
  • Faster turnaround on every claim
  • Higher consistency across documentation
  • Less stress and admin burden on frontline teams
  • Increased time spent on meaningful care work, not paperwork
The workflow began delivering value as soon as it went live.
Key takeaways
  • Systems with strong APIs make automation dramatically easier
  • Webhook-based integrations can outperform traditional APIs when vendor support is limited
  • n8n allowed for very fast iteration and refinement

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