Skribe, Recht. ERLEDIGT. | FairPlane, Anspruch. ERLEDIGT. | UNOY, Arbeit. ERLEDIGT.
UNOY Claims Engine · For Insurers, Litigation Funders, and High-Volume Claims Carriers

Three Profiles. One Pipeline Logic. Accountable Results.

Insurers assess and settle claims. Litigation funders pursue portfolio matters. High-volume claims carriers industrialize recurring cases. Three actors, one question: how is matter processing at scale executed with accountability?

UNOY Claims Engine builds the pipeline for all three: structured intake, rule-based review, documents, escalation, reporting, API into your existing system. Configured by matter type, with Skribe lawyers accountable at the decisive points.

Analyze Matter Type Prefer managed delivery? Delivery
Managed delivery · Build together · Self-operate
Lawyer reviewing documents in a law-firm office
Managed delivery · Build together · Self-operate

Three different actors, the same operational pressure: high volumes of similar matters, manual processing, little control over throughput.

§ 02 · Three Profiles

Three Actors. The Same Operating Logic.

Insurers, litigation funders, and high-volume claims carriers look different on the surface. Operationally they share the same structure: high case volume, recurring patterns, regulatory depth, professional accountability at specific points.

Three variants of the same operating model, each with a different lever on the pipeline.

Profile 01 · Insurer

Claims Settlement

Defense side: assess the claim, apply the policy, approve payment or deny with justification.
Lever Cost-per-Claim

Insurer.

Claims notifications, policy review, settlement, recourse. Industrializing processing depth while maintaining or increasing the density of expert review. Audit trail and supervisory requirements fully documented.

Profile 02 · Litigation Funder

Litigation Portfolio

Plaintiff side: qualify the case, assess prospects of success, fund or decline, manage escalation.
Lever Portfolio Management

Litigation Funder.

Matter intake, initial legal review, success probability scoring, escalation to litigation. Skribe lawyers are accountable for the legal assessment and the filings. Pipeline instead of case-by-case processing.

Profile 03 · High-Volume Claims Carrier

Claims Processing

Mass claims: high volumes of similar matters, passenger rights, diesel, debt collection, litigation demands.
Lever Throughput

High-Volume Claims Carrier.

Claims registration, automated review, demand letters, settlement negotiation, litigation escalation. FairPlane runs this pipeline for over 100,000 matters per year, with Skribe as the legal backbone.

All three profiles share the same Engine. What differs are the rules, the escalation path, and the assignment of professional accountability. UNOY Claims Engine: one pipeline logic, three configured use cases.

§ 03 · What UNOY Delivers

For Claims & Insurance there is UNOY Claims Engine.

High-volume matters as a controlled pipeline with confidence routing and a legal backbone. Three delivery models: Self, Co-Build, or Delivery, with Skribe lawyers for litigation escalation.

Six typical entry points into the suite, each as a controlled workflow with rules, AI, knowledge, and approvals.

Entry Gate · every claims notification starts here

01

Structure Intake

Intake

Structure Intake.

Email, PDF, or webhook of the claims notification → data extraction (loss location, date, amount, claim basis) and duplicate check → structured matter in the processor's inbox.

02

Claims Review

CaseRegelpasseskalierenstop

Claims Review.

Contract and claims data → rule check against policy, law, or industry playbook → outcome: valid / needs review / to be declined, with confidence score.

03

Generate Documents

Generate Documents.

Template and case data → variable fill, source references, and deadline calculation → cover letter, demand, or notice, ready to send.

04

Escalation

ExceptionExpert

Escalation.

Exception (low confidence, unusual amount, high-risk matters) → rule-based triage by specialty → file goes to the right expert, not a shared inbox.

05

Status & Reporting

Status & Reporting.

Active matters with status, processing time, and escalation rate → aggregated in live dashboard and API → managed by cost-per-claim and SLA.

06

API into Existing System

OSCRMERPDMSAPI

API into Existing System.

Result data and audit trail → mapping to CRM/DMS/collections schema → rule-based filing in the existing system, no manual transfer.

Proof: FairPlane uses this to enforce 100,000+ passenger rights matters per year, View FairPlane Case

Proof · FairPlane

FairPlane: 100,000+ Matters per Year as a Pipeline

FairPlane processes passenger rights matters at scale: claims review, documents, communication, legal processing, all as a controlled pipeline with professional sign-off at the decisive points.

100.000+

Matters / Year

€52M

enforced

98,5%

success rate

§ 06 · Routing Logic

Three paths per matter. Decided by machine, accountable to humans.

UNOY makes a confidence assessment per matter. Clear cases pass through rule-based processing, gray-zone cases go to human review, critical cases are declined with justification. Thresholds are configurable per matter type.

≥ 0.92 · Auto-Pass

~70%

Clear cases: all required fields set, all rules met, no contradictions. Released directly for payment or document creation.

0.70, 0.92 · Human Review

~22%

Gray zone: expert judgment decides. UNOY shows the reasoning, sources, and missing information. The processor reviews and approves or escalates.

< 0.70 · Auto-Reject

~8%

Clear decline: claim unsubstantiated, data contradictory, obligations not met. UNOY generates a decline letter with justification, the processor countersigns.

Configurable per matter. FairPlane uses this routing logic for 100,000+ passenger rights matters per year, with Skribe as the legal backbone for litigation escalation.

§ 08 · Next Step

Which matter type should run?

Claims notifications, demands, collections preparation, recourse, status responses. Bring a matter type and we will show how the pipeline runs in your context.

Analyze Matter Type Book a Demo View Self-Workspace →

Managed delivery · Build together · Self-operate