AI Agents

Context

Built for insurance within the Claims processing stack, this agent is used at the very start of a claim—when a customer reports first notice of loss through digital, contact center, or agent-assisted channels. Typical scenarios include auto, property, and travel claims where complete, correctly routed intake sets the pace for the entire assessment and settlement process.

What it does

The agent captures FNOL details and structures them into a complete claim record: claimant and policy identifiers, loss type and location, incident date and narrative, involved parties, and initial damage descriptors. It validates that mandatory items are present, normalizes formats (dates, addresses, policy references), and classifies the claim to the right line of business and workflow. Based on a succinct ruleset, it routes the file to the correct queue—straight-through where possible, or to the appropriate adjuster tier, specialty team, or partner network. Each captured field links back to the original input so reviewers can verify context without re-interviewing the customer.

Core AI functions

Multichannel capture (form, chat, voice-to-text) converts unstructured input into structured fields; document and image detection recognize supporting evidence at intake; entity extraction identifies people, places, and policy references; intent and loss-type classification steer the claim to the right process; and lightweight eligibility checks ensure basic thresholds are met before progression. Confidence scoring flags uncertain items for quick clarification, keeping momentum without allowing gaps to propagate.

Problem solved

FNOL is often incomplete or inconsistently recorded, leading to misrouting, repeat outreach, and downstream rework. Early errors—missing IDs, ambiguous loss descriptions, or the wrong workflow—delay assessment and frustrate customers.

Business impact

Intake becomes faster and cleaner: cycle times improve from the first touch, adjusters start with a usable record, and customers receive timely next steps. Misroutes and callbacks drop, throughput rises, and the overall experience improves without sacrificing control.

Integration and adjacent use cases

Integration is light: the agent plugs into your digital forms, contact-center transcripts, or agent capture; writes a structured FNOL payload into the claims orchestration or core; and triggers the next step in your workflow tool.

It is commonly paired with:

• Claims document completeness checker (to confirm required photos and proofs are present),

• Policy terms & coverage validator (claims) (to check coverage, limits, and deductibles),

• Damage evidence & estimate extractor (to read images and draft an initial estimate),

• Eligibility & threshold checker (claims) (to validate deductibles and sub-limits), and

• Fraud risk signal agent (claims) (to surface early risk indicators for SIU review).