How it works
From flagged claim to investigation report
Every claim gets its own AI investigator. 15 investigation phases. 14 days of manual work compressed into 60 minutes. Here is exactly how it works.
[01] Overview
[02] Investigation Phases
15 phases. Zero shortcuts.
Every AI investigation agent runs the same structured workflow your best human investigators follow - just faster, more consistent, and with zero case backlog.
[01] Intake & Context
Claim intake & triage
The agent ingests all available claim data - loss details, policy information, adjuster notes, photos - and assigns an initial risk score based on known fraud indicators.
Policy coverage verification
Cross-references the claimed loss against actual policy terms, coverage limits, endorsements, and exclusions. Flags coverage gaps and suspicious timing around policy changes.
Claimant history & prior claims analysis
Searches ISO ClaimSearch, NICB, and internal databases for prior claims by the same claimant, address, or vehicle. Identifies frequency patterns and repeat-offender signals.
[02] Evidence Gathering
Statement collection & cross-referencing
Analyzes recorded statements and written narratives from all parties. Detects contradictions, timeline inconsistencies, and rehearsed language patterns across multiple accounts.
Document authenticity verification
Runs forensic analysis on submitted documents - repair estimates, medical bills, receipts. Detects pixel manipulation, font inconsistencies, metadata tampering, and AI-generated fakes.
Medical record analysis
Reviews medical records for billing anomalies, pre-existing conditions presented as new injuries, excessive treatment patterns, and inconsistencies between claimed injuries and documented findings.
Social media & OSINT investigation
Scans public social media profiles, public records, and open-source intelligence for evidence that contradicts the claim - vacation photos during a disability claim, vehicle sightings after a total loss.
[03] Analysis
Witness identification
Identifies potential witnesses from police reports, accident scenes, and public records. Cross-references witness information against known fraud ring databases and prior claim involvement.
Timeline reconstruction
Builds a complete timeline of events from all available data sources - call logs, claim submissions, medical visits, repair shop interactions. Highlights gaps and impossible sequences.
Financial analysis
Evaluates the financial context of the claim - inflated repair estimates, excessive medical billing, unusual vendor pricing patterns, and cost outliers compared to regional benchmarks.
Subrogation detection
Identifies third-party liability and recovery opportunities. Flags claims where another party may be responsible, potentially offsetting payout and reducing net loss.
[04] Output
Regulatory compliance checks
Validates that the investigation meets state-specific regulatory requirements, fair claims handling guidelines, and documentation standards before report assembly.
Evidence package assembly
Compiles all gathered evidence into an organized, indexed package - documents, screenshots, database results, timeline visualizations - ready for SIU review or legal proceedings.
Investigation report with recommendations
Generates a structured investigation report with findings, risk assessment, supporting evidence, and clear recommendations - approve, deny, refer to SIU, or escalate to law enforcement.
Surveillance coordination triggers
When field surveillance is warranted, the agent generates geo-fenced surveillance plans with optimal timing windows based on claimant behavior patterns and activity analysis.
[03] The Deliverable
An investigation report, not a fraud score
Other tools give you a number. Hesper AI gives you a complete investigation report your SIU team can act on immediately - with evidence, justification, and a clear recommendation.
See it on a real claim
Walk through a live investigation with your own claims data. 30 minutes. No commitment.