Hesper AI

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

01
Claim flagged
A claim triggers a fraud alert from your existing detection system or is manually referred by an adjuster.
02
Agent assigned
Hesper AI spins up a dedicated AI investigation agent for the claim within seconds.
03
Investigation runs
The agent executes all 15 investigation phases in parallel - evidence gathering, verification, analysis.
04
Report delivered
A complete investigation report with evidence, findings, and recommendations is delivered to your SIU team.

[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

01

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.

02

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.

03

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

04

Statement collection & cross-referencing

Analyzes recorded statements and written narratives from all parties. Detects contradictions, timeline inconsistencies, and rehearsed language patterns across multiple accounts.

05

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.

06

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.

07

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

08

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.

09

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.

10

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.

11

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

12

Regulatory compliance checks

Validates that the investigation meets state-specific regulatory requirements, fair claims handling guidelines, and documentation standards before report assembly.

13

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.

14

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.

15

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.

Executive summaryOne-page overview of findings and recommendation
Evidence indexEvery document, record, and data point - organized and cross-referenced
Timeline visualizationComplete chronological reconstruction of events
Risk assessmentQuantified fraud probability with confidence scoring
Regulatory documentationState-compliant investigation records and SAR filing drafts
Action recommendationClear next step - approve, deny, refer, or escalate - with justification

See it on a real claim

Walk through a live investigation with your own claims data. 30 minutes. No commitment.

Book a demo