Insurance Investigations and Fraud Training Course

Participants can frame investigations within policy, legal, privacy and fair-treatment requirements.

• Policy wording, material facts and misrepresentation assessed before investigative action
• Good-faith duties, disclosure obligations and reservation-of-rights communications
• Burden and standard of proof distinguished in civil fraud cases
• Fraud allegations framed without defamation, bad-faith or unfair-claims exposure
• Data-protection principles applied to claimant, witness and third-party information
• Legal counsel escalation triggers documented for complex or contested matters

Participants can prioritise referrals and build documented investigation plans for suspected fraud cases.

• Structured fraud referral forms capture allegation, indicators, exposure and source
• Severity-likelihood matrix ranks cases by financial, legal and reputational risk
• Initial hypothesis separates known facts, assumptions and verification tasks
• Case plans define scope, milestones, ownership and decision gates
• Conflict checks identify prior relationships and investigator independence concerns
• Investigation logs record actions, rationale, evidence and review dates

Participants can preserve and evaluate evidence so findings withstand internal and external scrutiny.

• Chain-of-custody records preserve exhibit identity, possession and transfer history
• Evidence matrix maps each allegation to sources, gaps and corroboration
• Original documents compared against copies, metadata and system records
• Photographs, video and physical evidence authenticated before reliance
• Contemporaneous notes distinguish observation, statement, inference and conclusion
• Retention schedules and legal holds protect potentially relevant material

Participants can use claims data to identify, prioritise and corroborate suspicious patterns.

• Claims data profiling identifies duplicate payments, unusual frequency and clustering
• Benford's Law used cautiously to screen numeric claim fields
• Link analysis maps shared addresses, devices, providers and bank accounts
• Timeline reconstruction reconciles loss events, treatment dates and communications
• Geospatial checks compare incident locations, travel records and service providers
• Exception reports prioritize anomalies requiring corroboration rather than automatic conclusions

Participants can conduct lawful desktop inquiries and document online findings for evidential use.

• Open-source intelligence plans define lawful sources, queries and documentation
• Social-media material captured with URL, timestamp, context and preservation notes
• Corporate registries reveal ownership, directorships, dissolutions and connected entities
• Public-record searches corroborate addresses, assets, litigation and business activity
• Digital evidence assessed for provenance, alteration indicators and relevance
• Online findings tested against policy records and independent evidence

Participants can plan and conduct fair interviews that obtain reliable, reviewable accounts.

• PEACE model structures preparation, rapport, account and closure stages
• Cognitive interviewing techniques improve recall without leading vulnerable witnesses
• Question funnels move from open prompts to precise challenge questions
• Interview plans sequence claimant, witness, expert and suspect accounts
• Statement analysis distinguishes inconsistencies, omissions, deception indicators and cultural differences
• Contemporaneous interview records support disclosure, review and later testimony

Participants can commission and control specialist investigative work proportionately and lawfully.

• Surveillance objectives, proportionality and authorization requirements set before deployment
• Field observations recorded objectively without trespass, harassment or entrapment
• Medical, engineering and forensic experts appointed through clear instructions
• Expert reports tested for assumptions, methods, limitations and independence
• Vendor oversight checks licensing, confidentiality, billing and evidence handling
• Cross-border inquiries account for local law and information-sharing restrictions

Participants can report findings clearly and recommend proportionate claims, recovery and referral actions.

• Investigation findings classified as substantiated, unsubstantiated, inconclusive or policy breach
• Proof matrix connects evidence to each allegation and required element
• Case reports separate facts, analysis, limitations, findings and recommendations
• Claims decisions document coverage, quantum, recovery and fraud-referral rationale
• Recovery options assessed through subrogation, restitution, civil action and set-off
• Regulatory and law-enforcement referrals prepared with proportionate evidential packages

Participants can convert investigation findings into measurable fraud controls and workplace improvements.

• Root-cause analysis identifies control failures enabling fraud loss or delay
• Control design maps preventive, detective and corrective measures to risks
• Key risk indicators track referral quality, closure time, savings and recurrence
• Lessons-learned reviews convert case patterns into underwriting and claims changes
• Management reporting distinguishes prevented loss, avoided payment and confirmed recovery
• Personal application plans prioritize one casework improvement and one control change