Hesper AI

Hesper AI Blog

Insights on fraud, investigation, and insurance AI

Research, guides, and perspective from the Hesper AI team

FeaturedPillar·16 min read

Autonomous AI Claims Investigation: The Complete Guide for 2026

Autonomous AI claims investigation is the shift from rule-based fraud scoring to AI agents that run end-to-end investigations - 15+ phases per claim, evidence to audit-ready report, hours instead of weeks. The complete guide for SIU leaders evaluating the category.

Read article →April 26, 2026
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Editor's Picks

Buyer Playbook14 min read

The Compliance Officer's Guide to AI Claims Investigation Deployment

Before an AI fraud-investigation system goes live, the compliance officer signs off. Here is the regulatory map - NAIC, NIST AI RMF, state SIU rules - and the 7-question vendor checklist that keeps the deployment defensible.

June 24, 2026Read →
Guides13 min read

Hesper AI pricing and packaging: what carriers actually pay for investigation

Hesper AI is quote-based, like every enterprise fraud-tech vendor. The real story is unit economics: ~$150 per AI investigation vs ~$2,500 manual is what makes 100% flag coverage affordable.

June 19, 2026Read →
Guides13 min read

The best AI claims investigation platforms in 2026: an honest evaluation

Most AI claims investigation shortlists are actually detection shortlists. An honest, layer-aware evaluation of FRISS, Shift, Verisk, Tractable, Ocrolus, and Hesper.

June 18, 2026Read →

Pillar Guides

4 articles

Comprehensive guides to the major topics in claims investigation, fraud detection, and SIU operations

Pillar·15 min read

Insurance Fraud Detection: A Complete Guide to Methods, Tools, and Gaps in 2026

Insurance fraud detection in 2026: how detection methods work, what fraud they catch and miss, why 60% of flags are false positives, and where AI is changing the equation. The complete reference for fraud and SIU teams.

April 26
Pillar·14 min read

SIU Operations: How Special Investigation Units Run in 2026

How Special Investigation Units (SIUs) run in 2026: structure, workflow, performance benchmarks, the capacity constraint, and how AI is rewriting operations. The reference for SIU directors and claims VPs.

April 26
Pillar·14 min read

Claims Fraud Leakage: How Uninvestigated Claims Drain Profitability

Claims fraud leakage is the dollars carriers pay on claims they should have caught. The five sources of leakage, the typical math for a mid-size carrier, and the systematic interventions that close it. Reference for CFOs and claims VPs.

April 26
Pillar·15 min read

AI Fraud Platforms Compared: A 2026 Buyer's Guide

AI fraud platforms in 2026: the three categories, head-to-head comparison of the major vendors (FRISS, Shift, Verisk, Guidewire AI, Hesper AI), the buyer's framework, and pricing models. Reference for procurement teams running an RFP.

April 26

Research & Data

10 articles

Statistics, market analysis, and the evolving fraud landscape

Research·10 min read

Benchmarking SIU performance in 2026: why 10 investigations per month is obsolete

The industry benchmark of 10 investigations per investigator per month was built around manual evidence gathering and report writing. Autonomous AI investigation shifts the ceiling to 800+. New benchmarks for carrier size, investigation coverage, and cost per case.

April 15
Research·11 min read

From three weeks to four hours: how autonomous AI agents compressed the SIU reporting timeline

A reference timeline for the SIU investigation-to-report workflow - manual vs. autonomous AI, stage by stage. Where the 16+ day compression actually comes from, and why the remaining human steps are the right ones to keep.

April 14
Research·9 min read

Medical record fraud in insurance claims: the $105 billion blind spot

Medical record manipulation is present in 42% of workers' comp fraud and a growing share of auto injury claims. How fabricated treatment records, inflated billing codes, and phantom procedures slip past traditional review.

April 9
Research·9 min read

Insurance claims leakage: how uninvestigated claims drain profitability

Claims leakage costs insurers an estimated $30B+ annually in the US alone. Most of it stems from claims that are flagged but never fully investigated. How AI investigation agents are closing the gap.

April 7
Research·9 min read

Deepfake insurance claims: AI-generated fraud in 2026

Deepfake insurance fraud is up 2,137% in three years. How AI-generated claim photos and synthetic documents are overwhelming traditional detection.

March 31
Research·8 min read

Why 75% of flagged insurance claims are never fully investigated

Insurance SIU teams flag thousands of suspicious claims but can't investigate most of them. The economics of the SIU gap and how AI investigators close it.

March 29
Research·10 min read

Insurance fraud statistics 2026: the $308 billion problem

$308 billion in annual losses, fraud rates by line of business, the AI-generated fraud explosion, and why 75% of flagged claims go uninvestigated.

March 27
Research·8 min read

ChatGPT and deepfake documents: the AI fraud explosion

Generative AI tools make creating fake financial documents trivially easy. How AI document fraud works, its scale in 2026, and why detection needs a new approach.

March 20
Research·8 min read

Document fraud statistics 2026: the $4.7 trillion problem

Document fraud costs $4.7T annually. Data on fraud rates by sector, detection gaps, and the 400% rise in AI-generated fakes since 2024.

March 13
Fraud trends·6 min read

The rise of AI-generated invoice fraud in 2026

AI-generated fake invoices pass standard checks at alarming rates. How they're made, why rule-based systems miss them, and what pre-OCR detection catches.

March 10

Practical Guides

21 articles

How-to guides and technical deep-dives for practitioners

Guides·14 min read

Staged accident anatomy: a six-phase investigation playbook

A staged accident is an organized business, not opportunistic fraud. Here is the six-phase investigation playbook - triage, reconstruction, network analysis, medical forensics, statements, documented resolution.

June 17
Guides·13 min read

The CIO checklist for an AI claims investigation rollout: security, integrations, MSAs

The CIO reviews an AI claims investigation platform last and can still veto it. Here is the five-gate checklist: security, integrations, rollout, contracts, AI governance.

June 12
Guides·11 min read

Insurance claims automation in 2026: what's automated, what's still manual

Claims automation has reached FNOL, triage, estimating, payments, and detection. Investigation of flagged claims is the last manual step. Here is the 2026 stack map.

June 9
Guides·13 min read

How carriers should measure AI ROI in fraud investigation (hint: it's not NPS or cycle time)

NPS, CSAT, and cycle time are the wrong fraud investigation AI ROI metrics. Score the agent on yield, leakage recovered, cost per case, and defensibility.

June 9
Guides·13 min read

The defensibility standard for fraud investigation AI: what "AI you can defend" actually requires

Defensible AI fraud investigation needs more than a source-linked summary: an evidence chain, a decision trail, and explicit support for the action taken.

June 8
Guides·12 min read

The CFO ROI memo: making the case for AI claims investigation

A finance reviewer can approve AI claims investigation on three numbers: cost per investigated case, the coverage gap it closes, and payback. Here is the memo.

May 27
Guides·12 min read

SIU director's first 90 days with AI investigation: a week-by-week onboarding playbook

An SIU director's onboarding playbook for AI investigation across 90 days: baseline the unit, scope the pilot, redesign the analyst role, lock the audit trail, run QC, and measure lift.

May 25
Guides·12 min read

Legacy rules-based systems vs. autonomous AI: why 60% of fraud flags are false positives

Rules-based fraud platforms generate 5-10 alerts for every confirmed fraud case. The false positive rate is a design constraint, not a bug. How autonomous AI investigation agents change the economics of SIU work.

April 17
Guides·10 min read

Evaluating AI fraud investigation vendors: a 12-point checklist for SIU leaders

A 12-point evaluation framework for SIU leaders comparing AI fraud investigation vendors. The questions to ask on scope, signal density, evidence, compliance, and ROI - and the red flags that separate detection vendors from real investigation platforms.

April 17
Guides·9 min read

How to generate an audit-ready fraud investigation report in under an hour

Investigation report writing consumes 4-8 hours per case and is the single largest productivity bottleneck in SIU work. How autonomous AI investigation agents produce audit-ready reports - with citations, timelines, and recommendations - in under 60 minutes of investigator review.

April 16
Guides·9 min read

The hidden integration costs of adding AI modules to legacy claims management suites

The sticker price of an 'AI module' from a legacy claims suite is rarely the full cost. A breakdown of the six hidden cost categories - services markup, customisation, training, integration latency, opportunity cost, and lock-in - and how decoupled architectures avoid them.

April 14
Technical·10 min read

Parallel processing in SIU: how running 15 investigation phases simultaneously changes the claims workflow

Sequential investigation is the hidden reason SIU cases take 14+ days. A technical walk-through of the 15 investigation phases, which can run in parallel, how dependencies are resolved, and why this architecture changes throughput by two orders of magnitude.

April 13
Guides·9 min read

A claims investigator's guide to clearing the high-volume backlog without increasing headcount

A practical playbook for SIU directors and claims supervisors facing flagged-claim backlogs that outrun investigator capacity. Five interventions in priority order - with the math for each, and the order in which to deploy them.

April 13
Guides·10 min read

Insurance fraud red flags: 20 indicators every claims team should catch

10% of P&C claims involve fraud, but most red flags are missed because adjusters rely on gut instinct instead of structured checklists. 20 document, behavioral, and financial indicators - ranked by predictive value.

April 9
Guides·11 min read

How insurance companies investigate fraud: inside the SIU process

From red flag detection to courtroom-ready evidence packages - how SIU teams investigate fraud, where the process breaks down, and why most carriers can only investigate 25% of flagged claims.

April 9
Guides·11 min read

Auto insurance fraud investigation: detecting staged accidents and fraud rings

Staged accidents, phantom passengers, and fraud rings cost auto insurers $29B annually. How modern investigation combines document forensics, network analysis, and AI to expose organized auto fraud in hours instead of weeks.

April 7
Guides·10 min read

Workers' compensation fraud investigation: the complete guide for 2026

Workers' comp fraud costs insurers $7.2B annually. How to detect fabricated injuries, exaggerated disability claims, employer premium fraud, and provider collusion - and how AI investigation agents are compressing weeks of manual work into hours.

April 7
Guides·9 min read

How to detect a fake bank statement in 2026

Forged bank statements cost lenders $186B annually. How fake bank statements are created, the red flags to look for, why manual review fails, and how AI catches them at scale.

March 31
Technical·8 min read

How to tell if a PDF has been edited or tampered with

Edited PDFs leave forensic traces - but most are invisible to the naked eye. How to check PDF metadata, spot visual artifacts, and why pixel-level AI is the only reliable method at scale.

March 31
Guides·9 min read

Document fraud detection software: a buyer's guide for 2026

Not all fraud detection solutions are equal. A framework for evaluating software - architecture, features, integration, and the questions to ask vendors.

March 12
Technical·5 min read

Why OCR alone isn't enough for document verification

OCR reads what a document says - not whether it has been altered. The fundamental limits of OCR-based validation and why you need pre-OCR detection.

March 5

Use Cases

6 articles

Industry-specific fraud patterns and detection strategies

Use cases·12 min read

ARISE levels of autonomy vs. investigation-specific AI: why Shift's claims taxonomy misses the fraud dimension

ARISE scores AI agent autonomy in insurance, but autonomy is one axis. Investigation needs a second one - evidence depth and defensibility - that the level alone cannot describe.

June 9
Use cases·11 min read

Shift Claims vs. Hesper: agentic AI for claims handling vs. autonomous investigation

Shift Claims is handler-assist agentic AI; Hesper is autonomous investigation agentic AI. Both are agentic, but one speeds the claim handler and the other resolves the flag.

May 25
Use cases·7 min read

Fake pay stubs: how to detect forged payslips with AI in 2026

Forged payslips are surging in loan and income fraud. How fake pay stubs are created, why traditional verification fails, and how AI catches them.

March 18
Use cases·8 min read

Accounts payable fraud: stopping invoice schemes with AI

Fraudsters exploit AP workflows with altered bank details, duplicate invoices, and fabricated vendor docs. How document forensics stops them.

March 16
Use cases·7 min read

KYC document fraud: detecting fake IDs at fintech onboarding

67% of synthetic identity fraud uses manipulated documents. How fintechs lose $20B+ annually to fake IDs and forged income docs at onboarding - and how pixel-level AI detection catches what standard IDV tools miss.

March 14
Use cases·7 min read

Detecting fake receipts: a guide for expense platforms

Expense fraud costs 5% of annual revenue. Common fake receipt techniques and how expense platforms can catch them automatically.

February 28

More Articles

Vendor Comparison11 min read

5 Ocrolus alternatives for document AI in 2026

The 5 Ocrolus alternatives carriers shortlist in 2026 - Hyperscience, ABBYY Vantage, Rossum, Inscribe, and the autonomous-investigation layer Ocrolus does not occupy.

June 3, 2026Read →
Vendor Comparison12 min read

5 Verisk alternatives for insurance fraud detection in 2026

The 5 Verisk alternatives US P&C carriers shortlist in 2026 - FRISS, Shift, SAS, BAE NetReveal, and the autonomous-investigation layer Verisk does not occupy.

May 26, 2026Read →
Security & Compliance11 min read

SOC 2 and data handling for AI fraud investigation: what enterprises require

SOC 2 Type II is the floor, not the ceiling. The seven data-handling controls a Carrier CIO has to verify before signing an AI claims-investigation vendor.

May 14, 2026Read →
SIU Operations11 min read

The SIU Director's Toolkit: 12 Essential Tools for 2026

The 12 tools an SIU director needs in 2026 across detection, cross-carrier data, OSINT, document forensics, autonomous investigation, and case management.

May 13, 2026Read →
Vendor Landscape12 min read

Top 10 claims management systems for P&C carriers in 2026

A 2026 buyer's guide to the 10 claims management systems US P&C carriers actually run, sorted by carrier tier, deployment model, and integration profile.

May 13, 2026Read →
Vendor Comparison13 min read

Top 10 insurance fraud detection platforms in 2026

A neutral 2026 buyer's roundup of the 10 insurance fraud detection platforms most commonly on US P&C carrier shortlists, with where each wins and where each falls short.

May 13, 2026Read →
SIU Operations11 min read

SIU KPIs in 2026: the 12 metrics every director should track

Legacy SIU dashboards reward activity over impact. Here are the 12 metrics that actually predict loss avoidance, audit defensibility, and capacity in 2026.

May 13, 2026Read →
Buyer Playbook12 min read

The Claims VP playbook for deploying AI investigation: budget, timeline, change management

A Claims VP buying guide for AI investigation: pilot and 12-month budget ranges, phased rollout, stakeholder map, change management, and board outcomes.

May 12, 2026Read →
Frameworks10 min read

Fraud prevention vs. detection vs. investigation: the three-layer model

Prevention, detection, and investigation are three distinct anti-fraud layers with different inputs, outputs, and owners. Here is the matrix carriers should buy against.

May 11, 2026Read →
Vendor Comparison11 min read

Hesper AI vs. Verisk: how the investigation-vs-detection difference plays out

Verisk dominates the detection-data layer; Hesper sits at the investigation layer. Here is how the two pieces fit together in a 2026 P&C SIU stack.

May 8, 2026Read →
Vendor Landscape11 min read

Claims management systems compared: Guidewire vs. Duck Creek vs. Majesco vs. Snapsheet

Guidewire, Duck Creek, Majesco, and Snapsheet cover the realistic 2026 P&C shortlist. Here is how they differ on tier, deployment, and the SIU layer none of them ship.

May 7, 2026Read →
ROI11 min read

The ROI of AI claims investigation: 3 carrier case studies

Three modeled ROI scenarios for AI claims investigation across small regional, mid-market, and Top-25 carriers, with payback math grounded in published industry baselines.

May 6, 2026Read →
Vendor Landscape10 min read

The 2026 SIU technology stack: detection, investigation, case management

Most carriers buy a detection vendor and a case management system, then assume the investigation layer is headcount. Here is how the 2026 SIU stack actually fits together.

May 5, 2026Read →