Flaibot for Insurance

Bring the full record to every claims review.

Flaibot connects policies, claims, billing records, and supporting documents around the same policyholder. Help claims and underwriting teams understand the evidence across systems, surface inconsistencies, and identify what still needs review.

flaibot / relationship layer
Review a claim in contextIllustrative model
Selected entityPolicyholder

Connect source records around the same policyholder, then follow the relationships and evidence.

IdentityRelationshipsProvenance
One connected context
PolicyholderPoliciesClaimsProvidersBilling recordsDocuments

Where Flaibot helps

Follow the question across your systems.

Bring the relevant records, relationships, and definitions into the same investigation.

01

Review claims in context

Link a claim to the relevant policy terms, endorsements, and supporting evidence.

02

Investigate relationships

Explore connections between claimants, providers, policies, and prior incidents.

03

Identify evidence gaps

Show missing or conflicting records before a team reaches its conclusion.

Ask across your data

Start with a question that spans systems.

ASK FLAIBOTExample question

Which policy terms and supporting records apply to this claim, and what evidence is missing?

See the connected context

This investigation brings these entities and records into the same context:

PolicyholderPoliciesClaimsProvidersBilling recordsDocuments

The relevant definitions, time scope, calculations, and source documents stay attached to the finding. Missing or conflicting evidence remains visible.

Built for review

Keep the evidence attached to the answer.

Keep the entity, time period, and meaning consistent across every step.

  • Consistent contextResolve identities and definitions across your structured data and documents.
  • Traceable evidenceBring calculations and source records into the same investigation.
  • Visible uncertaintyMake missing, conflicting, or unresolved evidence clear to the reviewer.

Your data. Your next question.

Start with one question your systems cannot answer together.

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