Insurance AI
AI Agents for Claims Intake and Underwriting Support
An insurance AI agent is a system that processes claims documents, drafts underwriting summaries, or routes policyholder correspondence while staying inside state Department of Insurance rules on unfair claims settlement practices, so no automated step delays, denies, or misrepresents a claim decision without an adjuster's sign-off.
01State DOI rules set the boundaries
Every state has some version of an unfair claims settlement practices act, and most require a licensed adjuster to make the actual determination on a claim, with specific timelines for acknowledgment and decision. An automation that speeds up document collection can help you hit those deadlines. An automation that auto-denies a claim based on a pattern match can put the carrier in violation.
We build with that line in mind. Agents assemble the file, check it against policy language, and draft a recommendation. The adjuster of record signs every determination, and we log the timestamp of each step so you can demonstrate compliance with state-mandated response windows.
02Workflows we build most often
First notice of loss triage
Incoming FNOL submissions from phone, email, or web forms are structured and routed to the right adjuster queue inside Guidewire within the required acknowledgment window.
Claims document assembly
Photos, repair estimates, and police reports tied to a claim number are collected and organized into a single file before the adjuster's first review.
Underwriting file summarization
Application data and third-party reports are condensed into a risk summary for the underwriter, cutting the time spent reading raw source documents.
Policyholder status updates
Routine status updates on claim progress are drafted and sent to policyholders, with escalation flagged if a claim is approaching a state deadline.
03How an insurance engagement runs
- Step 01
State compliance review
We confirm the unfair claims practices requirements and response deadlines for the states you write policies in.
- Step 02
Pilot on one line of business
We build for a single line, such as auto claims FNOL, before expanding to property or commercial lines.
- Step 03
Adjuster review cycle
Adjusters test agent-assembled files and draft recommendations against closed claims for accuracy.
- Step 04
Guidewire integration
The agent writes into existing claims and policy systems rather than a separate database adjusters have to check.
- Step 05
Rollout with deadline tracking
Every claim gets a visible countdown against state-required response windows, flagged to a human before it lapses.
04Insurance engagement specifics
| Spec | Detail |
|---|---|
| Typical entry point | FNOL triage or claims document assembly for one line of business |
| Typical timeline | 6 to 10 weeks per line of business |
| Integration surface | Guidewire, policy administration systems, third-party report vendors, email and web intake |
| Data sensitivity | High. Claims files often include medical and financial detail requiring restricted access |
| Human review requirement | A licensed adjuster or underwriter signs every determination or recommendation |
| What does not work well | Automated claim denial or approval without adjuster sign-off |
05What we will not automate
We do not build agents that approve, deny, or settle claims on their own. State unfair claims practices laws require a licensed adjuster to make that call, and doing otherwise creates real regulatory exposure. Our agents assemble files and draft recommendations. The adjuster decides.
Start with FNOL triage
Call (720) 330-5721 to scope a pilot around your highest-volume line of business.
FAQQuestions
Common questions
Can an agent deny a claim automatically?
No. A licensed adjuster makes every determination. The agent assembles the file and drafts a recommendation only.
How do you track state-mandated response deadlines?
Each claim gets a visible countdown tied to your state's unfair claims practices timelines, flagged before it lapses.
Do you integrate with Guidewire directly?
Yes, most claims and policy workflows write directly into Guidewire rather than a separate tracking system.
Which line of business should we start with?
Most carriers start with the highest-volume line, often auto or homeowners FNOL triage, before expanding.
Last reviewed 2026-08-16
NEXTRelated pages
Use cases
- Multimodal AI for Document Data Extraction
Document data extraction is the task of pulling structured fields, like names, dates, amounts, or clauses, out of unstructured files such as PDFs, scanned forms, or photographs. Multimodal AI models read both the text and the visual layout of a document to extract this data accurately, even from messy or inconsistent formats.
- Managed AI Compliance Monitoring
Compliance monitoring is the ongoing review of communications, transactions, and documents against regulatory and internal policy requirements to catch violations early. Delivered as a managed service, an AI system continuously screens this activity and surfaces flagged items to a compliance officer instead of relying on periodic manual audits.
- Intake Form Processing
Intake form processing automation reads new client or patient intake submissions, extracts the relevant fields, checks them against required criteria, and routes the record into the correct system without a staff member retyping the information, cutting the delay between a submitted form and a usable record in the CRM system.
Solutions
- Business Process Automation
Business process automation removes repeated manual work from a company's back office. Lingows AI automates document processing, data entry, approval routing, and recurring reporting by combining models that read unstructured input with integrations that write clean records into systems of record.
- Multimodal AI
Multimodal AI works with inputs beyond text: scanned documents, photographs, audio, video, and sensor readings. Lingows AI builds production systems that extract structure from those inputs, route the result into business workflows, and generate media where a business needs it at volume.
Scope an AI build for ai implementation for insurance carriers and agencies
Bring one workflow, its volume, and the systems of record behind it. Lingows AI will tell you what automates cleanly and what should stay with a person.