Insurance Claims Fraud Triage Payout Approval

Digital Insurance Claims & Fraud Triage Transformation

Modernising claims intake, document management, fraud-risk triage, assessor assignment, payout approvals, customer notifications, and operational analytics across the insurance claims lifecycle.

Claim Handling Time

14d → 5d

Correct Team Routing

62% → 90%

SLA Breach Rate

24% → 8%

00 Summary 01 Problem 02 Stakeholders 03 AS-IS 04 TO-BE 05 Requirements 06 Process Diagrams 07 Risks 08 Deliverables 09 KPIs

00 — Executive Summary

A UK insurance provider needed a faster, more controlled, and more transparent claims operating model.

A UK insurance provider was experiencing growing operational pressure due to manual claims intake, fragmented document handling, inconsistent fraud triage, slow assessor assignment, and delayed payout approvals.

Claims were submitted through multiple channels including email, phone, broker portals, customer forms, and scanned documents. This created duplicate records, missing evidence, poor visibility, and long claim resolution times.

As Business Analyst, I led the discovery and process transformation initiative to modernise the end-to-end claims lifecycle. The solution introduced a digital claims intake journey, secure document upload, automated completeness checks, fraud-risk scoring, assessor assignment rules, approval workflows, customer notifications, and operational analytics dashboards.

The transformation improved claim handling speed, reduced manual triage effort, strengthened fraud detection, improved customer communication, and gave operational leaders better visibility into claim volumes, bottlenecks, risk categories, and payout performance.

01 — Business Problem

Claims data, supporting documents, fraud indicators, and payout approvals were not managed through one workflow.

The insurer’s claims operation relied heavily on manual handling and disconnected tools. Claims data, supporting documents, assessor notes, fraud indicators, and payout approvals were not managed through a single workflow.

The result was slower claim resolution, inconsistent fraud triage, higher operational cost, and weaker audit visibility. The insurer needed a scalable digital claims platform that could standardise intake, automate triage, improve evidence handling, and control payout approvals without removing human judgement from complex or high-risk claims.

Claims were submitted through multiple disconnected channels
Supporting documents were emailed, scanned, or uploaded inconsistently
Claims handlers manually checked evidence completeness
Fraud indicators were reviewed inconsistently
Assessor assignment depended on manual workload balancing
Payout approvals were delayed by email-based sign-offs
Customers repeatedly contacted support for claim status updates
Management lacked reliable operational analytics

02 — Stakeholders

Policyholders

Fast, transparent claim resolution

Needed a simple claims journey, clear updates, and fair resolution.

Claims Handlers

Reduced manual admin

Needed clearer workflows, better evidence visibility, and fewer manual checks.

Fraud Investigation Team

Early suspicious claim detection

Required consistent risk indicators and prioritised fraud queues.

Claims Assessors

Complete evidence and fair allocation

Needed ready-to-assess claims and workload-based assignment.

Payout Approval Team

Controlled decisions

Required auditable payout approvals based on value, risk, and policy rules.

Customer Service Team

Fewer claim-status contacts

Needed customer-facing updates to reduce repeated claim progress queries.

Compliance Team

Auditability and fairness

Required evidence trails, decision logs, and fair claims handling controls.

Finance Team

Payout controls and reconciliation

Needed accurate payout approvals, controlled release, and reconciliation visibility.

IT & Engineering

Secure integrations

Needed reliable integrations with policy, document, fraud, payment, and dashboard systems.

Senior Leadership

Cost, fraud, and satisfaction

Focused on cost reduction, fraud control, customer experience, and operational performance.

Stakeholder Conflicts

Customer experience teams wanted faster claim settlement.
Fraud teams required stronger checks before approval.
Finance wanted tighter payout controls.
Claims handlers wanted fewer approval delays.
Compliance required clear evidence trails, adding governance steps that operational teams initially viewed as friction.

BA Balancing Role

Balanced speed, fraud control, fairness, auditability, and customer experience.
Separated low-risk automation from high-risk human review.
Translated operational pain points into delivery-ready workflow requirements.
Aligned claims, fraud, finance, compliance, customer service, and engineering teams around one operating model.

03 — AS-IS Workflow

Phone / Email / Broker / Form Claim

Manual Claim Record Update

Evidence Requested by Email or Post

Manual Coverage & Evidence Check

Judgement-Based Fraud Escalation

Manual Assessor Assignment

Evidence Reviewed Across Systems

Email-Based Payout Approval

Inconsistent Customer Updates

Manual Reporting Extracts

Key Pain Points

Multiple claim channels created duplicate records, inconsistent data capture, and manual rekeying.
Evidence was scattered across inboxes, attachments, scanned files, and internal folders.
Fraud risk was identified too late or inconsistently, depending on handler experience.
Manual assignment created bottlenecks and uneven workload distribution.
Customers had limited visibility into claim status and frequently contacted support for updates.
Email-based approvals created delays, weak audit trails, and inconsistent decision tracking.

Operational Impact

Slower claim resolution.
Higher manual triage workload.
Inconsistent fraud escalation.
Weak payout approval controls.
Limited visibility into bottlenecks, risk categories, and assessor workload.
Higher status-chasing contact volumes.

04 — TO-BE Solution

Digital claims automation and fraud triage platform.

The future-state solution introduced a digital claims automation and fraud triage platform.

The solution reduced manual effort while keeping human review for complex, high-value, or suspicious claims.

Dashboards enabled claim teams and leaders to monitor claim volumes, bottlenecks, fraud risk, SLA performance, payout trends, and workload visibility.

Guided Digital Claims Journey

Customers submit claims through a structured digital journey.

Policy & Claim Validation

The system validates policy details, claim type, mandatory fields, and evidence requirements.

Secure Document Upload

Customers upload documents securely against the claim record.

Completeness Checks

Automated checks identify missing information and evidence gaps.

Fraud-Risk Scoring

Fraud-risk scoring evaluates claim patterns, policy history, document signals, and behavioural indicators.

Risk-Based Routing

Low-risk complete claims route to standard handling; high-risk claims route to fraud investigation or senior review.

Assessor Assignment

Claims assessors are assigned based on claim type, complexity, availability, and workload.

Payout Approval Rules

Payout recommendations follow approval rules based on amount, risk score, and policy conditions.

Customer Notifications

Customers receive automated updates throughout the claim lifecycle.

Operational Dashboards

Dashboards show claim volumes, bottlenecks, fraud risk, SLA performance, and payout trends.

05 — Requirements

Functional Requirements

Customers must be able to submit claims digitally.
The system must capture claim type, incident date, policy number, customer details, loss description, and supporting evidence.
The system must validate mandatory fields before submission.
Each claim must receive a unique claim reference.
Customers must be able to upload supporting documents securely.
The platform must support document categorisation by claim type.
Missing documents must trigger automated evidence requests.
Documents must be linked to the claim record and access-controlled.
The platform must calculate fraud-risk scores using configurable rules.
Risk indicators must include duplicate claims, policy age, claim frequency, inconsistent data, high-value claims, and suspicious document patterns.
High-risk claims must route to fraud investigation queues.
Claims must be assigned based on claim type, complexity, workload, and assessor availability.
Managers must be able to override assignment with reason capture.
Payout recommendations must follow configurable approval thresholds.
High-value or high-risk payouts must require additional approval.
Approval decisions must be logged and auditable.
Customers must receive notifications for claim submission, missing evidence, assessment progress, approval, rejection, and payout status.
Communication templates must be configurable by claim type and outcome.
Dashboards must show claim volume, average handling time, fraud referrals, payout values, SLA breaches, assessor workload, and customer communication status.

Non-Functional Requirements

Claim and customer data must be encrypted in transit and at rest.
Role-based access controls must restrict access to sensitive claim and fraud records.
The platform must support GDPR-compliant data retention, access, and deletion rules.
Sensitive documents must be protected from unauthorised access.
Claim submission must complete within defined response thresholds.
Fraud triage and routing must run without delaying claim creation.
The platform must support seasonal claim spikes and high-volume events.
Additional claim types and products must be configurable without major redevelopment.
Failed uploads, notifications, and integrations must support retry handling.
Claim records must not be lost during submission or system failure.
All claim status changes, fraud decisions, assessor assignments, and payout approvals must be logged.

06 — Process Diagrams

AS-IS claims intake workflowTO-BE digital claims lifecycleDocument upload and evidence validation flowFraud-risk scoring workflowFraud investigation escalation processAssessor assignment workflowPayout approval workflowClaim rejection and appeal workflowCustomer notification workflowSLA breach escalation workflowOperational dashboard data flowCross-functional swimlane across customer, claims handler, fraud team, assessor, finance, compliance, and manager

Overview

Digital Insurance Claims & Fraud Triage Transformation.

Modernise the claims lifecycle by implementing digital claims intake, secure document upload, automated completeness checks, fraud-risk scoring, assessor assignment, payout approval workflows, customer communication, and operational analytics.

Business Goals

Reduce claim handling time
Improve fraud detection consistency
Reduce manual document chasing
Improve customer communication
Strengthen payout approval controls
Improve claims operational visibility
Reduce SLA breaches

Scope

IN SCOPE

Digital claims submission
Claim validation and completeness checks
Secure document upload
Evidence request workflow
Fraud-risk scoring and triage
Assessor assignment
Payout approval workflow
Customer notifications
SLA tracking
Operational dashboards
Audit logging

OUT OF SCOPE

Full policy administration system replacement
Pricing and underwriting model redesign
Broker commission workflows
Legal litigation case management
Reinsurance processing

US-01Digital Claim Submission

As a policyholder, I want to submit my claim online so that I can start the claims process without calling or emailing support.

US-02Document Upload

As a policyholder, I want to upload claim evidence securely so that my claim can be assessed without sending documents by email or post.

US-03Evidence Completeness Check

As a claims handler, I want the system to identify missing documents so that incomplete claims can be resolved faster.

US-04Fraud Triage

As a fraud analyst, I want claims risk-scored automatically so that suspicious claims are prioritised for investigation.

US-05Assessor Assignment

As a claims manager, I want claims assigned based on workload and complexity so that claims are distributed fairly and efficiently.

US-06Payout Approval

As a finance approver, I want payout recommendations routed for approval based on value and risk so that payments are controlled and auditable.

US-07Customer Status Updates

As a policyholder, I want claim status updates so that I know what is happening without contacting support repeatedly.

Feature

Claim Submission

Given a policyholder completes the digital claim form, when all mandatory information is provided, then the system must create a unique claim reference.
The system must validate policy number and claim type.
The system must store claim details securely.
The system must send confirmation to the customer.
The system must display the claim status as submitted.

Feature

Document Upload

Given a customer uploads claim evidence, when the upload is completed, then the system must validate file type and size.
The system must link the document to the correct claim.
The system must categorise the document type where possible.
The system must restrict access based on user role.
The system must log the upload event.

Feature

Fraud Triage

Given a claim is submitted, when fraud-risk rules are applied, then the system must calculate a fraud-risk score.
The system must display triggered risk indicators.
The system must route high-risk claims to the fraud queue.
The system must allow authorised override with reason capture.
The system must log the triage decision.

Feature

Assessor Assignment

Given a claim is ready for assessment, when assignment rules are applied, then the system must identify eligible assessors.
The system must consider workload and claim complexity.
The system must assign the claim to an assessor.
The system must notify the assigned assessor.
The system must allow manager reassignment with reason capture.

Feature

Payout Approval

Given a payout recommendation is submitted, when the payout amount or risk score exceeds configured thresholds, then the system must route the payout for approval.
The system must prevent payment release until approved.
The system must capture approval or rejection decision.
The system must update the claim status.
The system must retain the decision in the audit log.

Overview

Operational and workflow artifacts across claims intake, evidence, fraud triage, assessment, payout approvals, communication, and reporting.

The project included process maps and workflow artifacts to align policyholders, claims handlers, fraud analysts, assessors, finance approvers, compliance, and claims managers.

01Current State

AS-IS Claims Intake Workflow

Mapped phone, email, broker, online form, evidence, assignment, approval, and reporting steps.

AS-ISClaims

02Future State

TO-BE Digital Claims Lifecycle

Defined guided submission, validation, evidence upload, fraud scoring, assignment, approval, and notifications.

TO-BELifecycle

03Submission

Digital Claim Submission Process

Mapped customer claim creation, mandatory fields, policy validation, and claim reference generation.

DigitalIntake

04Evidence

Document Upload & Evidence Validation

Mapped upload, file validation, categorisation, secure linking, and missing evidence checks.

DocumentsEvidence

05Evidence Gaps

Missing Evidence Request Workflow

Defined automated evidence requests, customer notifications, and readiness states.

CompletenessNotifications

06Fraud

Fraud-Risk Scoring & Triage Process

Mapped risk scoring, triggered indicators, fraud queue routing, and override logging.

FraudRisk

07Investigation

Fraud Investigation Escalation Workflow

Defined escalation rules, senior review, investigation ownership, and status updates.

EscalationInvestigation

08Assessment

Assessor Assignment Workflow

Mapped assignment based on claim type, complexity, workload, availability, and manager override.

AssignmentWorkload

09Finance

Payout Approval Workflow

Mapped approval thresholds, finance controls, approval/rejection decisions, and payment status.

PayoutFinance

10Customer

Customer Notification Workflow

Defined status updates for submission, evidence requests, assessment, approval, rejection, and payout.

NotificationsStatus

11SLA

SLA Breach Escalation Process

Mapped SLA thresholds, breach alerts, owner notifications, and manager visibility.

SLAEscalation

12Closure

Claim Closure & Rejection Workflow

Mapped closure, rejection, appeal handling, evidence retention, and communication steps.

ClosureAppeal

13Reporting

Operational Dashboard Reporting Flow

Mapped data flows for claims, fraud, payout, SLA, communication, and workload reporting.

DashboardAnalytics

14Swimlane

Cross-Functional Swimlane

Mapped ownership across policyholder, claims handler, fraud analyst, assessor, finance approver, compliance, and claims manager.

SwimlaneOwnership

15Data Flow

Claims Platform Data Flow

Mapped claims portal, policy system, document store, fraud rules engine, payment system, and dashboards.

Data FlowSystems

Transformation Assessment

Identifying gaps between fragmented claims operations and a digital claims, fraud, and payout control model.

The gap analysis highlighted manual intake, scattered documents, inconsistent fraud triage, weak payout approval control, and limited operational reporting.

Current State

Manual & Fragmented

Disconnected channels, email approvals, scattered evidence, and manual reports.

Future State

Digital & Controlled

Manual reports

→

TO-BE

Centralised dashboards

Stakeholder Analysis

Mapping policyholder, claims, fraud, assessment, finance, compliance, service, technical, and leadership priorities.

The stakeholder matrix clarified influence, interest, delivery dependencies, and governance expectations across claims transformation.

Total Stakeholder Groups

10

Customer, operational, fraud, assessment, finance, compliance, support, technical, and leadership groups.

High Influence Groups

7

Claims, fraud, assessors, managers, finance, compliance, IT, and leadership shaped key decisions.

Cost, fraud, and customer outcomes

High Interest

High Influence

High Priority Stakeholders

Medium Priority Stakeholders

Governance & Ownership

Defining accountability across claims intake, document workflows, fraud rules, assessor assignment, payout controls, compliance evidence, dashboards, UAT, and rollout.

The RACI matrix established ownership and decision clarity across BA, Claims Ops, Fraud Team, Assessors, Finance, Compliance, IT, and Leadership.

RResponsible

AAccountable

CConsulted

IInformed

Activity	BA	Claims Ops	Fraud Team	Assessors	Finance	Compliance	IT	Leadership
Discovery Workshops	R	C	C	C	C	C	C	I
AS-IS Process Mapping	R	C	C	C	I	I	I	I
Claims Intake Design	R	A	C	C	I	C	C	I
Document Workflow Design	R	A	C	C	I	C	C	I
Fraud Triage Rules	C	C	A	C	I	C	C	I
Assessor Assignment Rules	R	A	C	C	I	I	C	I
Payout Approval Rules	C	C	C	I	A	C	C	I
Compliance Evidence Requirements	C	C	C	I	C	A	C	I
Dashboard Requirements	R	A	C	C	C	C	C	I
UAT Coordination	R	A	C	C	C	C	C	I
Rollout Planning	R	C	C	C	C	C	C	A

Transformation Delivery Plan

Structuring phased delivery across claims operations review, AS-IS mapping, target operating model, solution design, MVP build, evidence automation, fraud rollout, payout workflows, reporting, UAT, and optimisation.

The roadmap sequenced discovery, design, platform build, fraud controls, payout controls, reporting, validation, and phased rollout across claim types.

Phase 1

Discovery & Claims Operations Review

Review claim channels, claim types, volumes, document handling, fraud escalation, payout approvals, and SLA issues.

DiscoveryClaims OpsSLA

Phase 2

AS-IS Mapping

Map current intake, evidence, triage, assessment, approval, communication, and reporting workflows.

AS-ISWorkflowEvidence

Phase 3

Target Operating Model Design

Define claim lifecycle, roles, fraud triage ownership, approval rules, and exception handling.

TOMRolesGovernance

Phase 4

Solution Design

Design digital claim journey, document model, fraud scoring rules, assignment logic, notifications, and dashboards.

SolutionFraud RulesDashboards

Phase 5

MVP Build

Launch digital claims intake, claim reference generation, document upload, and basic status tracking.

MVPIntakeStatus

Phase 6

Evidence & Completeness Automation

Add document checklists, missing evidence requests, and claim readiness rules.

EvidenceAutomationReadiness

Phase 7

Fraud Triage Rollout

Add risk scoring, fraud queue routing, investigation workflow, and override logging.

FraudRisk ScoreOverride

Phase 8

Assessor & Payout Workflow

Add workload-based assignment, payout thresholds, approval routing, and finance controls.

AssignmentPayoutFinance

Phase 9

Reporting & SLA Dashboards

Launch operational dashboards for claims, fraud, payout, SLA, and workload visibility.

ReportingSLAWorkload

Phase 10

UAT & Compliance Validation

Test claim scenarios, fraud flags, payout approvals, customer notifications, and audit evidence.

UATComplianceAudit

Phase 11

Phased Rollout & Optimisation

Expand claim types, tune fraud rules, refine customer communication, and improve automation.

RolloutOptimisationAutomation

09 — Outcomes & KPIs

5d

Average claim handling time reduced from 14 days

55%

Reduction in manual document chasing

Standard

Fraud triage consistency moved from variable to standardised scoring

90%

Claims routed to correct team first time improved from 62%

40%

Reduction in customer status-chasing contacts

Same Day

Payout approval time improved from 3 days for eligible claims

Live

Fraud referral visibility moved from limited to real-time dashboards

Central

Assessor workload visibility moved from manual to centralised workload view

8%

SLA breach rate reduced from 24%