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Claims processing systems
End-to-end claims workflows — intake, assessment, approval, settlement — with SLA tracking at every stage.
Industries — Insurance
Claims automation, policy administration, and document intelligence for insurers, TPAs, and brokers — systems that settle faster while keeping every decision defensible.
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End-to-end claims workflows — intake, assessment, approval, settlement — with SLA tracking at every stage.
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Quote, bind, endorse, renew: policy lifecycles modeled cleanly enough to survive product changes.
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Self-service portals that cut turnaround on quotes, endorsements, and commission statements.
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Audit-ready data pipelines and reporting aligned to regulator formats.
Production AI use cases we build for this industry — governed, secure, and measured against outcomes.
AI use case
Extraction and classification across claim forms, medical reports, and surveyor documents — days become minutes.
AI use case
ML scoring that surfaces anomalous claims for investigator attention, with explainable reasons.
AI use case
Document AI that assembles risk profiles from submissions, so underwriters decide faster.
AI use case
Governed chat for claim status, policy queries, and first-notice-of-loss capture.
Typically 60–80% of document handling and routing; final judgement stays with adjusters through review gates on every AI-assisted step.
Yes — we build around existing cores via their APIs or data layers, modernizing incrementally rather than demanding replacement.
Every extraction and score is logged with inputs, model version, and confidence; human approval gates sit before any consequential action.
All three — claims systems for TPAs, portals for brokers, and core platforms for insurers.
Use cases
Claims lodged by form, email, or photo extracted into structured cases and routed by severity in minutes.
Straight-through processing for simple claims; complex ones routed to the right adjuster with context.
Case files, documents, and AI-drafted summaries in one screen — human judgment, machine preparation.
Broker submissions structured on arrival; exposure data extracted and enriched for faster quote turnaround.
Legacy policy systems strangler-fig migrated to maintainable platforms without coverage disruption.
Evidence assembly and response workflows powered by our ChargebackZero product experience.
In depth
Insurance runs on documents and decisions — applications, policies, claims, adjuster notes — which makes it one of the highest-yield industries for intelligent automation. We build policy administration, claims intake, broker portals, and the document AI that reads what used to pile up.
Claims is where the transformation shows first: FNOL intake that extracts facts from forms, photos, and emails; triage models that route simple claims to fast lanes; and adjuster workbenches where AI drafts summaries humans verify. Cycle times drop from weeks to days while leakage and rework fall.
Underwriting benefits equally: submission ingestion, exposure data structured automatically, and predictive risk scores beside every application. All of it integrates with your core platforms, and all of it ships with the audit trails and access controls regulators expect.
Document AI + triage routing cuts settlement times from weeks to days.
Submissions structured on arrival — underwriters decide, not re-type.
Every automated decision logged, explainable, and reviewable.