PLRX
Insurance Claims · Enterprise AI Agents

Insurance claims processing
is coordination, not judgment.
Agents coordinate. Adjusters decide.

  • Insurance claims adjudication requires judgment — coverage interpretation, liability assessment, complex negotiations. Claims processing requires coordination — intake structuring, documentation collection, assessor management, policyholder communication. The second absorbs the majority of adjuster time.
  • Every claim that enters the system incompletely structured, every assessor order that goes unmonitored, every policyholder who doesn't receive a proactive update — these are coordination failures, not judgment failures. They are solvable without adding adjusters.
  • PLRX builds specialist AI agents for insurance claims workflows. Agents handle the coordination layer so adjusters focus on the decisions that require them.
94% autonomous resolutionFrom $0.99 per missionEnterprise Agentic
Book a Scoping Call
See claims coordination automated.
Tell us which part of your claims operation carries the most coordination overhead. Proof of concept in 2–3 weeks — production in 12 weeks.
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Claims Coordination — Current vs Autonomous
Current State
FNOL intake
Staff manually extracts data from calls, emails, and web forms. Adjuster receives incomplete or misclassified intake. Rework at every downstream step.
Assessor coordination
Adjuster places order and moves on. Delay discovered in aged claims review 2 weeks later. Expedite cycle begins when impact has already materialised.
Documentation collection
Adjuster identifies documentation needed, contacts parties, waits, follows up. Documentation gaps discovered when adjuster opens the file to adjudicate.
Policyholder communication
Policyholders call to check status. Adjuster spends time on status updates that add no adjudication value. Support volume high for process-driven claims.
FNOL-to-adjuster: 2–4 hours manual processing · Assessor delay detection: 10–14 days · Status inbounds: driven by process gaps
With PLRX
FNOL intake
Agent extracts structured data from every intake channel, validates against policy record, routes complete file to the correct adjuster. Adjusters open files ready to work.
Assessor coordination
Agent monitors every assessor order from placement. Escalation the day the threshold passes. Report filed and validated when it arrives. Adjuster notified when file is ready.
Documentation collection
Agent identifies required documentation at intake, issues requests, tracks receipt, validates completeness. Adjuster receives complete files with no documentation gaps.
Policyholder communication
Agent sends proactive updates at defined intervals. Status inquiries answered automatically. Policyholders informed without consuming adjuster time.
FNOL-to-adjuster: under 10 minutes · Assessor delay detection: same day threshold passes · Status inbounds: substantially reduced
PLRX Specialist Agents — Insurance Claims

What insurance AI agents
handle in production.

WorkflowWhat the AI Agent DoesAdjuster Focus After
FNOL intake and routingExtracts structured data from calls, emails, and web forms. Validates against policy record. Classifies coverage line. Routes complete file to correct adjuster with full intake summary.Coverage interpretation, liability assessment, and complex negotiations — not intake reconstruction.
Documentation collectionIdentifies documentation required per claim type. Issues requests to claimant, provider, or third parties. Tracks receipt. Validates completeness before filing.Review of complete, validated documentation — not chasing parties for outstanding items.
Assessor order monitoringPlaces assessor orders. Monitors for completion against expected delivery date. Escalates delays the day threshold passes. Validates report completeness before filing.Coverage and liability interpretation of complete assessor reports — not vendor management.
Policyholder communicationSends structured updates at defined intervals. Answers standard status inquiries. Escalates inquiries requiring coverage or liability response.Coverage disputes, complex inquiries, and negotiations — not routine status updates.
Subrogation identificationReviews closing claims for subrogation potential. Initiates demand letter workflow. Tracks timeline.Complex subrogation negotiations — not identification and initiation of standard recovery workflows.
Insurance Claims · The Compliance Question That Stops Deployments
What data does the agent touch, and who controls that boundary?

Insurance claims involve policyholder personal data, incident information, assessor reports, and in some cases PHI or sensitive financial information. Before a compliance team approves an AI agent on claims workflows, they need the data access boundary defined and enforced.

PLRX answer: agent access scoped to the workflow, enforced at the infrastructure layer. The intake agent accesses the claim file and policy record relevant to that specific claim. It cannot access other policyholder records, adjacent claims, or data outside the defined workflow scope — because the platform does not grant that access.

Tenant isolation is architectural: no shared runtime, no shared data plane between customer deployments. Every data access is logged in the WORM audit trail. Customer data is never used to train models — contractual. The complete data architecture documentation is available for compliance review on request.

Insurance Claims · Enterprise AI Agents

Adjusters should be adjudicating. Not structuring intake files, chasing assessors, or fielding status calls from policyholders whose claims are moving normally.

PLRX AI agents handle the full coordination layer for insurance claims — FNOL intake, documentation collection, assessor management, policyholder communication, and subrogation identification — so adjusters focus on the decisions that require their expertise.

Book a Scoping Call
See claims coordination automated.
Proof of concept in 2–3 weeks. Production in 12 weeks.
Required.
Required.
Please enter your corporate email address.
Required.
Required.

By submitting you agree to our Privacy Policy. We never sell your data.