Claims Agent
Deploy an AI agent that independently manages insurance claims from intake to resolution.
Claims Agent verifies identity, assesses evidence against historical cases, determines eligibility, and books repairs so you cut cycle time and improve accuracy without losing control.
The Claims Agent automates insurance claims from intake to resolution—verifying identity, assessing evidence, determining eligibility, and scheduling repairs—so you cut cycle time and improve accuracy without sacrificing control.
What We Solve
Manual claims handling is slow, inconsistent, and expensive—each case passes through multiple teams, tools, and handoffs before resolution.
The Claims Agent automates intake, evidence review, and adjudication while keeping humans in the loop for exceptions, so you cut cycle time and improve accuracy without sacrificing control. It pairs well with our Agentic Playbook and Streamlining Insurance Claims with Agentic AI. For proof in practice, see our AI Claims Processing for Insurance case study.
Who It's For
Claims and operations leaders in insurance or warranty, across P&C, health, and warranty lines where cycle time, consistency, and fraud risk matter.
What We Configure
We configure a claims agent that fits your products, rules, and repair network—not a generic chatbot.
Intake & Verification Flows
Dynamic forms and chat flows to capture details, confirm identity, and validate submissions in real time.
Evidence Review Pipelines
Vision and NLP pipelines to analyze images, documents, and context using precedent-trained models.
Decision & Escalation Logic
Eligibility, fraud, and routing rules that determine when to approve, deny, or hand off to humans.
Repair Network Integration
Scheduling logic that recommends vetted partners and books appointments based on proximity and availability.
Business Impact
Claims Agent informs automation, CX, and operations decisions—so you cut cycle time and improve accuracy without losing control.
Claim Automation
Enables end-to-end claims handling with minimal human intervention—from first notice of loss to repair or payout.
Customer Experience
Delivers near-instant responses, clear status updates, and lower effort for policyholders during stressful events.
Operational Savings
Reduces manual work, cycle time, and fraud exposure while improving throughput and consistency.
Metrics That Matter
Adjudication accuracy, time to resolve, claims throughput, auto-closure %, escalation rate, and customer satisfaction.
Execution Framework
We combine policy data, evidence, and claims history so the agent can triage, score, and route claims with clear audit trails. Deliverables are built for your workflow: case logs for adjusters, dashboards for managers, and recommendations for next steps.
Input Signals
- Policy data, customer messages, uploaded photos, and diagnostics
- Prior claim records and fraud indicators
Agent Logic
- Computer vision and NLP for evidence understanding
- Eligibility scoring, fraud detection, and provider matching
Stakeholders
- Claims managers, product owners, CX leads, AI governance, and legal
Outputs
- Case logs, claim decisions, and booked appointments
- Audit trails and performance dashboards
Methodology
Our Claims Agent methodology runs in five phases, with checkpoints so you can add claim types or repair partners.
-
Define Claim Classes
Segment claims by type (e.g., auto collision, property damage, health) and determine which can be automated end-to-end.
-
Train on Historical Data
Use labeled historical claims—including documents, images, outcomes, and fraud flags—to fine-tune eligibility, payout, and escalation patterns.
-
Integrate Document & Image Pipelines
Set up secure intake for PDFs, receipts, and images (vehicle damage, medical bills), enabling NLP and vision models to extract structured data.
-
Build Adjudication & Routing Logic
Design the decision engine: verify coverage, assess damage vs. precedent, detect anomalies, and recommend actions like approval or referral.
-
Pilot, Monitor & Refine
Run a pilot on a specific claim type (e.g. windshield repair), compare agent vs. human results, then retrain and scale to broader categories.
Frequently Asked Questions
What is a claims agent?
A claims agent is an AI that automates insurance claims from intake to resolution—verifying identity, assessing evidence, determining eligibility, and scheduling repairs. It keeps humans in the loop for exceptions while cutting cycle time and improving accuracy.
How does evidence review work?
The agent analyzes images, documents, and context using precedent-trained models to assess damage and eligibility. It references fraud indicators, claim history, and underwriting rules for consistent adjudication.
Who uses the Claims Agent?
Claims and operations leaders in insurance or warranty. Typical use cases include P&C, health, and warranty claims. We tailor intake, rules, and repair scheduling to your product and systems.
How does it reduce cycle time?
By automating intake, evidence review, and adjudication in one flow, the agent eliminates handoffs and manual steps. Repair partner scheduling and full audit visibility complete the resolution path.