An AI agent triages property damage claim emails and their attachments, then turns them into complete, structured files for a national network of sites.
A large organization with a national network of sites wanted to modernize how it handles its Property Damage claims: water damage, fire, glass breakage, theft, weather-related events, and damage to buildings, materials or equipment.
Claims arrived mainly by email, with the useful information scattered across the message body, forms, photos, PDFs and scanned documents. Files were often incomplete, poorly qualified, or hard to link to the right site. Before a claim could even be opened, claims handlers had to sort the mailbox, check the scope, pull out the data, review every attachment, chase claimants for what was missing, and re-key everything into the claims management system.
Teemant deployed an AI agent on the dedicated claims mailbox to automate claims intake from end to end. For every incoming email, the agent checks whether it falls within the Property Damage scope, extracts the key data, verifies that the file is complete, qualifies the attached documents, and prepares a structured file that claims teams and business systems can use straight away.
Claims arrive in a dedicated mailbox. The agent reads each message, analyzes the attachments, and separates claims to process, incomplete files, out-of-scope messages and cases that need manual review.
The agent identifies everything needed to open the file: site concerned, loss address, date of loss, notification date, nature of the damage, circumstances, likely cover, documents provided and claimant contact details.
Extracted data is checked before it moves on. When information is missing, inconsistent or ambiguous, the file is routed to manual handling or triggers a request for additional information.
Photos, forms, reports and supporting documents are analyzed, classified and linked to the right file, ready for the document management system.
Teemant produces a structured file in the format the claims management system expects, sent through CSV or JSON flows with the references needed to feed internal tools, repositories and the document management system.
Claims email automation turns a hard-to-use mailbox into a structured, controlled and traceable flow.
This case illustrates a common issue in multi-site organizations: property damage claims arrive by email in every possible format, with highly variable quality.
Teemant automates this critical first step of claims handling — reading, sorting, understanding, extracting, checking and structuring the information — before it reaches the claims team or the claims system.
The same model can be adapted to other flows: liability, water damage, building damage, store claims, branch networks, real estate, public-sector organizations, associations or franchises. See how a broker applies it to more than 15,000 claim emails a year, or explore our AI agents for insurance.