Financial Technology Applications in Insurance Training Course

Course overview

Insurance firms are under pressure to shorten quote-to-bind cycles, reduce claims leakage, strengthen fraud controls, and serve policyholders through digital channels without weakening governance. Financial technology is changing how insurers collect premiums, verify customers, pay claims, price risk, reconcile transactions, and exchange data with banks, brokers, reinsurers, and technology partners. Professionals need to assess these applications in operational and financial terms: which problem they solve, how data moves through the process, what controls are required, and how value should be measured before investment.

This course examines the practical use of fintech across the insurance value chain. Participants work with digital payment architectures, open banking use cases, embedded insurance models, automated underwriting, AI-supported claims triage, fraud analytics, blockchain-based records, and regulatory technology controls. They learn to map a current-state process, define data and integration requirements, evaluate fintech vendors, calculate a business case, identify operational and conduct risks, and establish metrics for adoption, service quality, loss reduction, and return on investment.

Teaching combines instructor-led briefings with insurance-specific cases, workflow mapping, data exercises, vendor-evaluation workshops, and team decision simulations. Participants use a structured fintech application canvas to assess a proposed solution for a premium collection, claims payment, fraud detection, or underwriting scenario. They leave with a completed insurance fintech implementation pack containing a process map, use-case prioritisation matrix, control checklist, vendor scorecard, KPI set, and phased implementation recommendation that can be adapted for their organisation.

The programme is suited to insurance professionals who already understand core policy, premium, claims, finance, risk, or operations processes and now need to lead, assess, procure, govern, or work alongside digital financial services initiatives.

Course objectives

By the end of this course, participants will be able to:

• Map premium, claims, and settlement cash flows to identify fintech intervention points
• Evaluate digital payment models including wallets, card payments, account-to-account transfers, and instant payouts
• Design an insurance fintech use-case canvas covering customer journey, data, controls, economics, and ownership
• Assess open banking and API integration requirements for premium collection and affordability verification
• Build a vendor scorecard for insurtech and fintech providers using functional, security, regulatory, and commercial criteria
• Calculate a business case using cost-to-serve, claims leakage, conversion, straight-through-processing, and ROI measures
• Define fraud, financial-crime, data-protection, and conduct-risk controls for automated insurance workflows
• Produce a phased implementation roadmap with KPIs, governance gates, and change-management actions

Benefits of attending

Target competencies

Who should attend

• Insurance Operations Managers — who need to improve policy administration, premium collection, and claims workflows
• Claims Managers — who assess digital payments, automation, fraud controls, and customer-service improvements
• Insurance Finance Managers — who oversee premium reconciliation, payment controls, financial reporting, and fintech business cases
• Digital Transformation Managers — who prioritise and deliver technology-enabled insurance operating-model changes
• Underwriting Managers — who evaluate data-driven risk assessment and automated decisioning applications
• Compliance and Risk Professionals — who must govern customer data, financial crime, conduct, and third-party technology risk

Requirements and prerequisites

Participants should have working knowledge of at least one insurance function, such as underwriting, claims, policy administration, premium accounting, distribution, compliance, or operations. Familiarity with basic insurance terms including policy, premium, deductible, claim, reserve, broker, and reinsurance is assumed, along with confidence interpreting simple process maps and spreadsheet-based calculations. Experience with Microsoft Excel is helpful for the business-case exercises. No coding, data-science, blockchain development, API programming, or prior experience with fintech platforms is required. The course explains technical concepts from an insurance operating and control perspective rather than requiring participants to build software.

Training methodology

The instructor uses short technical briefings to establish the insurance and fintech concepts, followed by applied work on realistic insurer scenarios. Participants map a premium-to-cash process, compare payment options, review API and data flows, score a fintech provider, and test control failures in an automated claims-payment case. Small groups debate investment trade-offs using financial and operational evidence. Each day adds to an individual implementation pack, and the final session is an application-planning workshop in which participants present a prioritised recommendation and receive instructor feedback.

Course outline

Day 1: Insurance fintech landscape and value creation

• Insurance value-chain mapping from distribution to premium collection and claims settlement
• Fintech, insurtech, regtech, and embedded insurance operating models
• Customer journey friction analysis for quotes, payments, policy servicing, and claims
• Premium-to-cash process mapping and reconciliation pain points
• Financial value drivers including cost-to-serve, conversion, retention, and claims leakage
• Use-case prioritisation with impact-versus-feasibility scoring
• Insurance fintech governance roles across business, technology, finance, risk, and compliance

Workshop: Participants map a selected insurance process and produce a prioritised list of fintech intervention opportunities with quantified pain points.

Day 2: Digital payments, open banking, and API-enabled insurance

• Digital premium payment methods including cards, direct debit, wallets, and account-to-account payments
• Instant claims payout models and payment-exception handling
• Open banking data use for affordability checks, verification, and payment initiation
• API architecture concepts including endpoints, authentication, consent, and error handling
• ISO 20022 payment-message concepts and payment-data standardisation
• Premium reconciliation controls for payment gateways, banks, brokers, and general ledgers
• Payment failure, chargeback, refund, and customer-vulnerability management

Workshop: Participants design a premium-collection and claims-payout workflow, producing an API and control map for a digital insurer.

Day 3: Automation, data, and decisioning in underwriting and claims

• Straight-through processing design for low-complexity insurance transactions
• Automated underwriting rules, external data sources, and referral thresholds
• AI-supported claims triage and human-in-the-loop decision controls
• Fraud analytics signals across application, payment, and claims data
• Data quality profiling for policyholder, exposure, transaction, and claims records
• Explainability, bias testing, and conduct-risk considerations in automated decisions
• Blockchain and distributed-ledger use cases for proof of coverage, subrogation, and records

Workshop: Participants review an automated claims-triage case and produce a decision-control design with referral rules, fraud flags, and audit evidence.

Day 4: Vendor evaluation, regulation, and fintech risk control

• Fintech vendor landscape analysis and build-buy-partner decision criteria
• Functional and technical due diligence for payment, analytics, and platform providers
• Third-party risk assessment covering resilience, subcontracting, exit plans, and service levels
• Data-protection requirements for customer consent, retention, and cross-border transfers
• Financial-crime controls for sanctions screening, identity verification, and suspicious activity monitoring
• ACORD data standards and interoperability considerations for insurance integrations
• Control testing for cyber risk, model risk, operational resilience, and conduct risk

Workshop: Participants evaluate a mock claims-payment fintech provider and produce a weighted vendor scorecard with risk conditions for approval.

Day 5: Business case, implementation roadmap, and performance management

• Fintech business-case structure for insurance investment decisions
• Baseline measurement for claims cycle time, collection rates, leakage, and manual effort
• ROI, payback, sensitivity analysis, and benefit-realisation assumptions
• Implementation sequencing across pilot, controlled rollout, and enterprise scale
• Target operating model changes for roles, exceptions, controls, and customer support
• KPI dashboards using operational, financial, risk, and customer-experience measures
• Executive recommendation writing and investment-governance presentation techniques

Workshop: Participants complete and present an insurance fintech implementation pack containing a business case, KPI dashboard, risk controls, and phased roadmap.

Tools & standards covered

Microsoft Excel, Microsoft Power BI, ACORD Standards, ISO 20022

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions