Insurance FNOL

Insurance FNOL

Nolana automates first notice of loss by guiding customers through policy-aware questions, validating inputs in real time, and flagging missing details—so adjusters receive complete, structured data upfront. This cuts down delays, reduces back-and-forth, and speeds up claims resolution.

Nolana automates first notice of loss by guiding customers through policy-aware questions, validating inputs in real time, and flagging missing details—so adjusters receive complete, structured data upfront. This cuts down delays, reduces back-and-forth, and speeds up claims resolution.

Green Fern
Green Fern
Green Fern
Green Fern

Overview

For Third-Party Administrators (TPAs), managing insurance claims means balancing speed, accuracy, and scale all while acting on behalf of carriers, employers, or self-funded groups. But today’s claims intake processes often rely on static forms, follow-up phone calls, and manual triage. This can lead to inefficiency, long cycle times, and pressure on claims teams.

Here we’ll explore how a TPA could use Nolana’s AI-powered intake agents to reduce administrative burden, improve intake accuracy, and deliver faster resolutions for both clients and claimants.

Challenges

TPAs typically face:

  • High claim volumes with inconsistent or incomplete FNOL submissions

  • Time-consuming manual follow-ups to gather documentation or clarify incident details

  • Frustrated claimants and clients due to long resolution times and communication gaps

  • Limited visibility into intake data for reporting and SLA compliance

These issues are critical as they can cause dropped claims, strained carrier relationships, and operational bottlenecks.

Nolana's solution

With Nolana, the TPA deploys configurable AI agents to act as the first line of engagement in the claims process.

Here’s how the workflow improves:

Conversational, Dynamic FNOL Intake:
Instead of relying on downloadable PDFs or static web forms, the TPA shares a Nolana-powered link that guides claimants through a real-time chat interface. The AI agent tailors questions based on incident type (e.g. injury, property, auto) and ensures all key data is captured up front.

Automated Document Collection and Validation:
Claimants are prompted to upload relevant documents, like photos, receipts, or provider notes, based on their specific policy and claim scenario. The agent can flag missing inputs and follow up automatically, reducing manual outreach by claims staff.

Policy & Eligibility Checks at the Front Door:
Nolana verifies eligibility details, reducing unnecessary intake for ineligible claims and saving adjusters valuable time.

Internal Summaries for Fast Triage:
Once intake is complete, Nolana generates a structured summary for the TPA's internal claims system. This accelerates triage, routing, and escalation where needed.

Expected Outcomes

A TPA using Nolana could expect to:

  • Reduce administrative follow-up time 

  • Improve claim completion rates by guiding users through the right steps

  • Shorten intake-to-decision timelines, helping meet client SLAs

  • Deliver a modern, user-friendly intake experience to claimants

  • Surface cleaner data for reporting and downstream systems

© 2025 Nolana Limited. All rights reserved.

Leroy House, Unit G01, 436 Essex Rd, London N1 3QP

© 2025 Nolana Limited. All rights reserved.

Leroy House, Unit G01, 436 Essex Rd, London N1 3QP

© 2025 Nolana Limited. All rights reserved.

Leroy House, Unit G01, 436 Essex Rd, London N1 3QP

© 2025 Nolana Limited. All rights reserved.

Leroy House, Unit G01, 436 Essex Rd, London N1 3QP