Insurance FNOL AI Employee

Ema's Insurance First Notice of Loss (FNOL) Assistant AI Employee automates the initial step of the claims process by extracting key information from customer-submitted documents and filling out the FNOL template required by insurance providers. Built for insurance operations and claims processing teams, this assistant handles a wide variety of document types, formats, and languages -- ensuring faster, more accurate claim intake.

From handwritten police reports to multilingual emails and scanned bills, this AI Employee parses it all with built-in OCR and translation capabilities to generate structured FNOL records with minimal manual intervention.

This workflow is instantiated by copy, so any updates to the template will not retroactively change existing AI Employees built from it.

Key Features

• Multi-format document parsing -- Supports PDFs, scanned images, emails, handwritten forms, and structured documents -- even when they contain tables or embedded visuals.
• Built-in OCR and translation -- Automatically reads scanned documents and translates content from different languages to ensure all claims are processed uniformly.
• Configurable field extraction -- Extracts itemized details such as product names, prices, quantities, vendors, and other claim-relevant fields as defined by your FNOL template.
• Template population -- Automatically fills out the FNOL claim form with structured data extracted from uploaded documents -- ready for downstream processing or review.
• Accelerated claims intake -- Cuts down on the manual effort and time required to process new claims, enabling faster response to customers and reduced backlog.
• Audit-friendly outputs -- Extracted data includes source traceability, making it easy to validate entries and meet compliance needs.

How to Use

1. Create Your AI Employee

Click Create AI Employee at the top of the template page.

2. Configure Your FNOL Template

Define the fields your FNOL form requires (e.g., claimant name, date of loss, loss description, policy number). The AI Employee uses these field definitions to structure its extraction.

3. Upload Customer Documents

Add initial claim forms, police reports, invoices, emails, or any supporting documentation. The assistant will process each file automatically.

4. Enable and Test

Turn on your AI Employee. Upload a sample claim package in the dashboard and review how the FNOL form is completed. Use "Show Work" to trace each field's origin.

Example Queries

1. Fill out an FNOL using these documents.
2. Extract item details from this invoice.
3. Is the police report missing any required data for the FNOL?
4. Translate this email and pull out the key facts for the claim form.

Benefits

• Speed up claim intake -- Automate form population to accelerate time-to-processing for new claims.
• Handle diverse document types -- Accepts and processes structured, unstructured, scanned, and multilingual inputs.
• Reduce manual errors -- Improve accuracy with automated extraction and template filling.
• Improve customer experience -- Respond to new claims faster with fewer back-and-forth requests for missing information.
• Ensure compliance and traceability -- Every data point can be traced back to its source for full auditability.

Supported File Formats

• PDF
• DOCX
• Scanned images (JPEG, PNG)
• Emails (EML, MSG, or pasted text)
• FNOL form templates (uploadable or pre-configured in dashboard)