# Hesper AI

> Hesper AI is the AI claims resolution platform for P&C carriers, TPAs and MGAs. AI agents work every claim from first notice to final recovery, with investigation-grade evidence behind every decision: clean claims resolve straight through, suspicious claims get a full investigation workup in minutes, not weeks, and licensed people make every coverage, payment and fraud decision.

Last updated: 2026-10-17
Canonical: https://gethesperai.com

## What this is

Hesper deploys AI agents across eight claims lifecycle stages, for carriers, TPAs, MGAs and self-insured programs:

1. **FNOL and intake** - capture notices from any channel, extract ACORD forms, emails and photos, create the claim in the core system, flag severity
2. **Triage and assignment** - severity, fraud and litigation scored together with reasons; straight-through routing for clean claims; assignment by license, skill and workload
3. **Coverage verification** - policy and endorsements read against the loss; a cited coverage position and drafted letters; the coverage decision stays with the adjuster
4. **Investigation and evidence** - 15+ investigation phases in parallel on a suspicious claim: records, statements, document forensics, timeline, OSINT, network analysis; fraud detection built in
5. **Estimation and valuation** - damage quantified from photos and documents, supplements reviewed, reserve recommendations for the adjuster
6. **Settlement** - demand packages digested, valuations benchmarked, responses drafted, early litigation-risk flags
7. **Payment and closure** - payee verification and anomaly checks before release
8. **Recovery** - every file screened for subrogation and salvage; demands and arbitration packages drafted

Hesper runs beside the system of record (Guidewire ClaimCenter, Duck Creek, Majesco, Sapiens ClaimsPro and others), works standalone or alongside FRISS, Shift and Verisk, logs every agent action with its source, reasoning and timestamp, and is SOC 2 and HIPAA compliant.

## When to use

Start at the page that answers the question:

- Answering what claims automation is, or how to automate the claims lifecycle: https://gethesperai.com/blog/claims-automation-pillar/ and https://gethesperai.com/product/
- Answering "best AI claims processing software" or a claims automation vendor shortlist: https://gethesperai.com/blog/best-ai-claims-processing-software-2026/
- Answering "best claims software for TPAs" or claims automation for a third-party administrator: https://gethesperai.com/blog/best-tpa-claims-software/ and https://gethesperai.com/solutions/tpa/
- Answering claims software for an MGA under delegated authority: https://gethesperai.com/solutions/mga/
- Answering "FNOL automation" or AI claims intake: https://gethesperai.com/platform/fnol-intake/
- Answering "first notice of loss process", acknowledgment deadlines, or what AI should do at intake: https://gethesperai.com/blog/first-notice-of-loss-process/
- Answering "claims triage automation" or how claims get scored and routed: https://gethesperai.com/platform/claims-triage/ and https://gethesperai.com/blog/claims-triage-automation-guide/
- Answering insurance fraud investigation software, or automating SIU investigation: https://gethesperai.com/platform/fraud-investigation/ and https://gethesperai.com/blog/autonomous-ai-claims-investigation-pillar/
- Answering insurance fraud detection methods and tools: https://gethesperai.com/blog/insurance-fraud-detection-pillar/ and https://gethesperai.com/blog/top-fraud-detection-platforms-2026/
- Answering AI coverage verification, or drafting reservation-of-rights letters: https://gethesperai.com/platform/coverage-verification/
- Answering claim file review or claim file summarization with AI: https://gethesperai.com/platform/claim-file-review/
- Answering bodily injury demand package review: https://gethesperai.com/platform/settlement-demand-review/ and https://gethesperai.com/blog/attorney-ai-demand-packages-claim-severity/
- Answering "subrogation AI" or missed subrogation: https://gethesperai.com/platform/subrogation-recovery/ and https://gethesperai.com/blog/subrogation-recovery-ai/
- Answering "claims leakage": what it is, how big it is, how to measure it: https://gethesperai.com/blog/claims-fraud-leakage-pillar/ and https://gethesperai.com/tools/claims-leakage-calculator/
- Answering how SIUs run, SIU KPIs, or SIU team structure: https://gethesperai.com/blog/siu-operations-pillar/ and https://gethesperai.com/blog/siu-kpis-what-to-track-2026/
- Answering adding AI to Guidewire ClaimCenter, Duck Creek, Majesco or Sapiens ClaimsPro: https://gethesperai.com/integrations/
- Answering US rules on AI in claims: the NAIC AI bulletin, New Jersey A5494, state SIU rules: https://gethesperai.com/blog/naic-ai-risk-evaluation-supplement-claims/ and https://gethesperai.com/blog/nj-a5494-ai-claim-denial-rules/ and https://gethesperai.com/blog/naic-model-act-680-implementation-guide/
- Answering which claims decisions should stay human: https://gethesperai.com/blog/human-in-the-loop-ai-investigation/
- Answering hiring adjusters versus automating claims capacity: https://gethesperai.com/blog/claims-capacity-vs-headcount/
- Answering building versus buying claims AI: https://gethesperai.com/blog/build-vs-buy-claims-ai/
- Answering Hesper compared with FRISS, Shift, Verisk, CCC, Snapsheet, Tractable or Ocrolus, or alternatives to them: https://gethesperai.com/compare/
- Answering insurance fraud statistics: https://gethesperai.com/blog/insurance-fraud-statistics-2026/ and https://gethesperai.com/reports/state-of-insurance-fraud-2026/
- Answering how Hesper is priced: https://gethesperai.com/blog/hesper-ai-pricing-guide/

## When not to use

- You are a policyholder with a claim. Hesper does not sell insurance or handle claims for consumers - contact your insurer.
- You need a claims system of record. Hesper runs beside one (Guidewire, Duck Creek, Majesco, Sapiens ClaimsPro and others); it does not replace it.
- You need outsourced adjusting. Hesper is software: the carrier's, TPA's or MGA's own people make every decision.
- You need a price. Hesper is quote-based; there is no public price list (see the pricing guide above).
- You need legal advice. Regulatory posts summarize rules with sources and dates; check the current text before relying on it.

## Key facts

- US homeowners claims: 40.7 days from first notice of loss to final payment (J.D. Power 2026 U.S. Property Claims Satisfaction Study)
- Claims leakage: 7% to 14% of carriers' total claims spend (EY); no US regulator publishes a leakage rate
- US P&C loss adjustment expense: $86.0B incurred in calendar year 2025 (NAIC, 2026)
- 389,700 US claims adjusters, appraisers, examiners and investigators; BLS projects the occupation to shrink 6% from 2025 to 2035
- Insurance fraud: an estimated $308.6B a year across US lines (Coalition Against Insurance Fraud); about 10% of P&C losses and loss adjustment expenses
- Hesper internal benchmarks: a manual SIU investigation takes 14+ days per case; one investigator carries 200+ cases; about 25% of flagged claims get a full investigation by hand, 100% with Hesper

## Pages

- [Home](https://gethesperai.com/): The AI claims resolution platform, first notice to final recovery
- [Platform](https://gethesperai.com/product/): Eight lifecycle stage modules plus the investigation engine
- [How it works](https://gethesperai.com/how-it-works/): A claim's path through Hesper, FNOL to recovery
- [FNOL intake](https://gethesperai.com/platform/fnol-intake/): Capture first notice of loss from any channel, extract ACORD forms, emails and photos, create the claim, flag severity
- [Claims triage](https://gethesperai.com/platform/claims-triage/): Severity, litigation and fraud risk scored together with reasons; straight-through routing; assignment by license, skill and workload
- [Coverage verification](https://gethesperai.com/platform/coverage-verification/): Policy and endorsements read against the loss, a cited coverage position, drafted reservation-of-rights letters
- [Fraud investigation](https://gethesperai.com/platform/fraud-investigation/): 15+ investigation phases in parallel on a suspicious claim and a sourced, audit-ready evidence file
- [Claim file review](https://gethesperai.com/platform/claim-file-review/): Every document read, the timeline rebuilt, contradictions surfaced, each line cited to its page
- [Settlement demand review](https://gethesperai.com/platform/settlement-demand-review/): Bodily injury demand packages checked against the records, valuation benchmarked, response drafted
- [Subrogation and recovery](https://gethesperai.com/platform/subrogation-recovery/): Every file screened for subrogation and salvage, demands and arbitration packages drafted
- [For TPAs](https://gethesperai.com/solutions/tpa/): More files per adjuster, per-program rules, a client-ready audit trail
- [For MGAs](https://gethesperai.com/solutions/mga/): Consistent handling and documented decisions under delegated authority
- [Integrations](https://gethesperai.com/integrations/): Hesper beside the system of record - [Guidewire ClaimCenter](https://gethesperai.com/integrations/guidewire-claimcenter/), [Duck Creek Claims](https://gethesperai.com/integrations/duck-creek-claims/), [Sapiens ClaimsPro](https://gethesperai.com/integrations/sapiens-claimspro/), [Majesco Claims](https://gethesperai.com/integrations/majesco-claims/)
- [Technology](https://gethesperai.com/technology/): Agent architecture and how findings are cited
- [Use cases](https://gethesperai.com/use-cases/): [Property](https://gethesperai.com/use-cases/property-claims/), [auto](https://gethesperai.com/use-cases/auto-claims/), [commercial auto](https://gethesperai.com/use-cases/commercial-auto-claims/), [workers' comp](https://gethesperai.com/use-cases/workers-comp/), [liability](https://gethesperai.com/use-cases/liability-claims/), [business interruption](https://gethesperai.com/use-cases/business-interruption-claims/), [cyber](https://gethesperai.com/use-cases/cyber-claims/), [marine and cargo](https://gethesperai.com/use-cases/marine-cargo-claims/), [travel](https://gethesperai.com/use-cases/travel-claims/), [pet](https://gethesperai.com/use-cases/pet-claims/)
- [Compare](https://gethesperai.com/compare/): Head-to-head and alternatives pages across claims automation, fraud detection, document AI and core claims systems
- [Reports](https://gethesperai.com/reports/): [State of Claims Automation 2026](https://gethesperai.com/reports/state-of-claims-automation-2026/), [State of Insurance Fraud 2026](https://gethesperai.com/reports/state-of-insurance-fraud-2026/)
- [Tools](https://gethesperai.com/tools/): Free, ungated tools, including the [claims leakage calculator](https://gethesperai.com/tools/claims-leakage-calculator/), which shows the source of every coefficient
- [Hesper Launch](https://gethesperai.com/launch/): First 200 claims free for MGAs and TPAs launching in 2026 and 2027
- [Demo](https://gethesperai.com/demo/) and [contact](https://gethesperai.com/contact/)

## Pillar guides

- [Claims Automation: The Complete Guide to Automating the Claims Lifecycle in 2026](https://gethesperai.com/blog/claims-automation-pillar/) (2026-07-29): Claims automation guide for 2026: what automates at each of the 8 lifecycle stages, what should stay human, and why investigation has no software incumbent.
- [AI Fraud Platforms Compared: A 2026 Buyer's Guide](https://gethesperai.com/blog/ai-fraud-platforms-compared-2026-pillar/) (2026-04-26): FRISS, Shift, Verisk, Guidewire AI, and Hesper AI compared across three platform categories, with pricing models and 12 buyer questions for a 2026 RFP.
- [Claims Fraud Leakage: How Uninvestigated Claims Drain Profitability](https://gethesperai.com/blog/claims-fraud-leakage-pillar/) (2026-04-26): Claims leakage is the gap between what carriers pay and what accurate handling would cost. Sourced benchmarks, full taxonomy, measurement, and the fraud gap.
- [SIU Operations: How Special Investigation Units Run in 2026](https://gethesperai.com/blog/siu-operations-pillar/) (2026-04-26): SIU operations in 2026: team structure, the investigation workflow, performance benchmarks, and why 75% of flagged claims close without full review.
- [Insurance Fraud Detection: A Complete Guide to Methods, Tools, and Gaps in 2026](https://gethesperai.com/blog/insurance-fraud-detection-pillar/) (2026-04-26): Insurance fraud detection in 2026: the four generations of detection methods, what each catches and misses, and why 60% of flags are false positives.
- [Autonomous AI Claims Investigation: The Complete Guide for 2026](https://gethesperai.com/blog/autonomous-ai-claims-investigation-pillar/) (2026-04-26): Autonomous AI claims investigation: how AI agents run 15+ phases per claim, from evidence to audit-ready report in minutes, not weeks. Guide for SIU leaders.

## Blog and research

Newest first. 104 posts; each one cites its sources inline.

- [The first notice of loss process: what AI should handle at intake, and what it shouldn't](https://gethesperai.com/blog/first-notice-of-loss-process/) (2026-10-17): The first notice of loss process in seven steps: the 7-15 day acknowledgment clocks, claim creation, the severity flag, and which intake calls stay human.
- [Workers' compensation TPA claims handling: 120 claims per examiner, and the TPA pays for being late](https://gethesperai.com/blog/workers-comp-tpa-claims-handling/) (2026-10-14): A workers' comp TPA sells provable timeliness: 14-day decision clocks, a 120-claim examiner cap, and a contract clause that makes the TPA pay the penalty.
- [The insurance fraud referral package was never the bottleneck: 51,419 reports in, 243 cases opened](https://gethesperai.com/blog/siu-fraud-referral-package-automation/) (2026-10-12): New York got 51,419 reports of suspected fraud in 2025 and opened 243 cases. What an insurance fraud referral package contains, and what it cannot resolve.
- [Claims leakage by line of business: nobody publishes the rate. Six bureaus publish the drivers.](https://gethesperai.com/blog/claims-leakage-by-line-of-business/) (2026-10-09): No published source rates claims leakage by line of business. EY's 7-14% is aggregate. What moves per line is the driver mix, and six bureaus publish it.
- [State Farm is hiring 3,000 adjusters and running an AI claims program. Both are the same bet.](https://gethesperai.com/blog/claims-capacity-vs-headcount/) (2026-10-06): State Farm adds 3,000 claims staff in 2027 and ran an AI claims program four months earlier. What headcount buys, and what only automation does.
- [Best claims software for TPAs: four purchases, and one of them is a competitor](https://gethesperai.com/blog/best-tpa-claims-software/) (2026-10-05): Ten claims platforms compared for TPAs, plus the four purchases buyers confuse: system of record, automation layer, point tool, outsourcing.
- [Build vs buy claims AI: negotiate exit, not licence cost](https://gethesperai.com/blog/build-vs-buy-claims-ai/) (2026-10-02): A Rhode Island claim closed in 2026 must be producible through 2030. A three-year contract ends in 2029. Nine exit clauses to negotiate first.
- [Claims decision evidence: what the claim-file rules asked for before AI](https://gethesperai.com/blog/claims-decision-evidence-layer/) (2026-10-01): A decision log records the outcome. NAIC Model 902 and four state claim-file rules ask for the activities - including the checks that came back clean.
- [New Jersey's AI claim denial bill regulates who signs, not what is in the file](https://gethesperai.com/blog/nj-a5494-ai-claim-denial-rules/) (2026-09-28): New Jersey's A5494 would bar AI from making the final decision to deny an auto, home or flood claim. One sentence of text, no evidence standard.
- [Best AI claims processing software in 2026: seven vendors at intake, three at recovery](https://gethesperai.com/blog/best-ai-claims-processing-software-2026/) (2026-09-25): A stage-by-stage shortlist of AI claims processing software for 2026: who serves intake, triage, coverage, fraud, settlement, payment and recovery.
- [Claims leakage audit: a stage-by-stage checklist, and the files it never opens](https://gethesperai.com/blog/claims-leakage-audit-checklist/) (2026-09-24): A claims leakage audit checklist by stage, anchored to NAIC claims standards, with sample-size math and why a sampled rate covers only the files reviewed.
- [Claims automation for TPAs: shared savings is barred, so the case runs per file](https://gethesperai.com/blog/tpa-claims-automation/) (2026-09-23): NAIC GDL-1090 bars savings-contingent TPA fees and permits per-claim pay. Why claims automation for TPAs shows up as margin per file, not shared savings.
- [One in four insurers recovers nothing. Missed subrogation opportunities are lost at intake, not at closure](https://gethesperai.com/blog/subrogation-recovery-ai/) (2026-09-22): Roughly 1 in 4 US P&C insurers records no salvage or subrogation recovery. Why missed subrogation opportunities are an evidence problem, not a detection one.
- [Human-in-the-loop AI fraud investigation: which decisions stay human, and what they get handed](https://gethesperai.com/blog/human-in-the-loop-ai-investigation/) (2026-09-21): The NAIC makes human involvement one of five risk factors, not a floor. A decision-rights taxonomy for AI fraud investigation and the rubber-stamp test.
- [Shift's ARISE ladder has two columns. Efficiency climbs 8x, the money column moves 3 points](https://gethesperai.com/blog/arise-autonomy-efficiency-curve-investigation-roi/) (2026-09-18): Shift's ARISE table pairs each autonomy level with an efficiency gain and an indemnity impact. Efficiency multiplies 8x; the outcome column moves 3 points.
- [Verisk Fraud Discovery unified five layers of the fraud stack. The sixth is still somebody's calendar](https://gethesperai.com/blog/verisk-fraud-discovery-vs-autonomous-investigation/) (2026-09-15): Verisk Fraud Discovery unifies five layers of the fraud stack. The six-layer map of insurance fraud case management, and the layer no detection vendor claims.
- [NAIC AI risk evaluation v5.0: your fraud model now needs a page number](https://gethesperai.com/blog/naic-ai-risk-evaluation-supplement-claims/) (2026-09-14): NAIC exposed AI Risk Evaluation Supplement v5.0 on August 31, 2026, with comments closing September 29. What Exhibits A through D ask of a claims fraud model.
- [Outsourced insurance investigation services vs autonomous AI: the demand thesis is right, the labor pool is 39,500 people](https://gethesperai.com/blog/outsourced-investigation-services-vs-autonomous-ai/) (2026-09-11): Command's 900-investigator deal proves investigation demand exceeds capacity. Why outsourced insurance investigation services cannot bend the cost curve.
- [AI fraud investigation and court admissibility: the manual claim file fails the same test](https://gethesperai.com/blog/ai-fraud-investigation-court-admissibility/) (2026-09-10): Rule 707's 2026 status, the Lokken and Huskey discovery orders, and which regulators actually reach claims. What makes an AI fraud investigation defensible.
- [Insurance AI data layer vs investigation agent: where Verisk's Claude connectors stop](https://gethesperai.com/blog/verisk-mcp-data-layer-vs-investigation-layer/) (2026-09-09): Verisk's May 2026 Claude connectors expose governed data over MCP. The protocol calls that the data layer. Here is what has to happen after the data lands.
- [SIU team structure: the org chart you file with the state is not a capacity plan](https://gethesperai.com/blog/siu-team-structure-how-carriers-organize/) (2026-09-07): How carriers organize the SIU: reporting lines, 6.1 reports per manager, the desk-field split, and the org chart California collects every year.
- [Automated claims investigation: the step that grows as everything else speeds up](https://gethesperai.com/blog/automated-claims-investigation-explained/) (2026-09-04): Automated claims investigation defined: NY DFS logged 41,686 fraud referrals in 2024, 89% unresolved. The capability test and the regulatory bar.
- [Occupancy fraud in property claims: how investigators verify primary residence](https://gethesperai.com/blog/occupancy-fraud-property-claims/) (2026-09-02): Proving occupancy on a property claim takes twelve records and none answers it alone. The evidence set ranked by turnaround, and the cost of proof.
- [Guidewire ClaimCenter fraud: the investigation is filed there, not run there](https://gethesperai.com/blog/guidewire-claimcenter-fraud-detection/) (2026-09-01): ClaimCenter files the SIU referral and records the outcome. See what is native, which vendors score into it, and who actually runs the investigation.
- [Plaintiff firms got AI first: the demand package is assembled in hours and examined in weeks](https://gethesperai.com/blog/attorney-ai-demand-packages-claim-severity/) (2026-08-31): Social inflation claims now arrive as AI-assembled demand packages. Submitted medical expenses hit $32,300 in Q1 2026 while carrier examination stayed manual.
- [The VP of Underwriting's fraud signal: the insurance claims data you decided not to keep](https://gethesperai.com/blog/vp-underwriting-fraud-signal-feedback-loop/) (2026-08-26): Why confirmed-fraud findings belong in underwriting: $35.1B in premium evasion, denial data carriers shun, and the feedback loop that closes the gap.
- [Agentic AI for insurance claims: eight of nine agents talk, one investigates](https://gethesperai.com/blog/agentic-ai-insurance-claims-beyond-fnol/) (2026-08-24): Nine named agentic AI claims deployments from 2025 and 2026, mapped by layer: eight sit in intake, summarization, or estimating. Only one investigates.
- [Hesper AI vs. Snapsheet: a faster claim does not buy a better investigation](https://gethesperai.com/blog/hesper-vs-snapsheet/) (2026-08-21): Snapsheet alternatives sorted by what each one replaces: claims cores, appraisal, intake, detection - and the investigation layer no ranked list covers.
- [Claims shared services and TPAs: four ways to charge back AI investigation, and only one survives](https://gethesperai.com/blog/head-of-claims-shared-services-ai-investigation/) (2026-08-18): Claims shared services AI investigation chargebacks: why share-of-savings and per-case approval fail, and the flat per-claim model that survives.
- [Claims triage framework: the five lanes, and why you only measure four](https://gethesperai.com/blog/claims-triage-decision-framework/) (2026-08-13): A claims triage framework routes every claim into five lanes. Four scale with software; the fifth scales with investigators. Here is why nobody measures it.
- [AI-generated evidence fraud: cheap to fabricate, expensive to corroborate](https://gethesperai.com/blog/ai-generated-evidence-fraud-investigation-playbook/) (2026-08-11): AI-generated evidence is cheap to fabricate and detection fades: accuracy falls from 0.98 to 0.65 on unseen fakes. The corroboration playbook that scales.
- [Carpe Data alternatives: ordering an investigation is not running one](https://gethesperai.com/blog/carpe-data-alternatives/) (2026-08-10): Carpe Data alternatives, compared: Carpe's MCP-native products let an agent order an investigation, but delivery is still 1-4 days. Ordering is not running.
- [Procurement and AI vendor risk: the seat that cannot say yes sets your deployment date](https://gethesperai.com/blog/procurement-vendor-risk-ai-claims-investigation/) (2026-08-06): The third-party risk reviewer, not procurement, sets your AI deployment date. The 16 artifacts carriers request and the 8 contract clauses that decide it.
- [New York SIU compliance: the state audits your investigation, not your fraud model](https://gethesperai.com/blog/new-york-fraud-prevention-act-siu/) (2026-07-29): New York examines your fraud investigation, not your fraud model: a plan filed under Insurance Law § 409, a full-time SIU, and a report within 30 days.
- [Evaluations for fraud investigation agents: how to grade an AI investigator](https://gethesperai.com/blog/evaluations-for-fraud-investigation-agents/) (2026-07-24): Grade an AI investigator with an eight-dimension AI agent evaluation framework: golden test sets, LLM-as-judge, hallucination guardrails, and defensibility.
- [Cross-carrier fraud data networks (IDN, ISO ClaimSearch, NICB): what they catch and what they miss](https://gethesperai.com/blog/cross-carrier-fraud-data-networks-limits/) (2026-07-20): A cross-carrier fraud data network answers one question: have we seen this claim before? What ISO ClaimSearch, NICB, and Shift IDN catch and what they miss.
- [Medical mill fraud in insurance: detection, investigation, and prosecution](https://gethesperai.com/blog/medical-mill-fraud-investigation/) (2026-07-15): Medical mill fraud in insurance is a provider network, not one bad claim. How mills operate, the red flags, real takedowns, and where AI closes the gap.
- [The chief risk officer's view of AI claims investigation: model risk, controls, and concentration](https://gethesperai.com/blog/chief-risk-officer-ai-claims-investigation/) (2026-07-14): How a chief risk officer classifies AI claims investigation under SR 11-7 and the NAIC AI bulletin, and the six controls that clear it for approval.
- [Domain knowledge in fraud investigation AI: why it's investigative methodology, not claims volume](https://gethesperai.com/blog/domain-knowledge-moat-fraud-investigation-ai/) (2026-07-13): SIU methodology encoded as agent behavior is what makes fraud investigation AI defensible. Claims volume buys detection, not a case that survives deposition.
- [Mapping the carrier buying center for AI claims investigation: who decides, who blocks](https://gethesperai.com/blog/buying-center-mapping-ai-investigation/) (2026-07-10): Buying AI investigation is a 6-11 person decision, and the vendor is in the room about 17% of the time. Who decides, who blocks, and what moves each seat.
- [The claims process end-to-end: from FNOL to settlement](https://gethesperai.com/blog/claims-process-end-to-end-fnol-to-settlement/) (2026-07-09): The claims process is a clock and a ledger running from FNOL to settlement. Map all eight stages, and see why investigation is the one still measured in weeks.
- [Open-source fraud detection vs. commercial platforms: where each wins](https://gethesperai.com/blog/open-source-vs-commercial-fraud-detection/) (2026-07-08): Open-source fraud detection and commercial platforms both sit in the detection layer: both flag, neither investigates. A fair build-vs-buy guide for 2026.
- [California 10 CCR 2698: the SIU compliance walkthrough for CDI requirements](https://gethesperai.com/blog/california-10-ccr-2698-siu-compliance/) (2026-07-07): California 10 CCR 2698 turns 'we have an SIU' into 14 sections of examinable duties. Hardest at scale: 2698.36, a documented decision on every referral.
- [Claims operations manager: leading the team through AI-augmented investigation](https://gethesperai.com/blog/claims-operations-manager-ai-transition/) (2026-07-06): A change-management playbook for the claims operations manager's AI transition: the investigator role shifts from execution to decision-making.
- [5 CCC Intelligent Solutions alternatives in 2026](https://gethesperai.com/blog/ccc-intelligent-solutions-alternatives/) (2026-07-03): 5 CCC Intelligent Solutions alternatives for 2026: Hesper AI, Mitchell/Enlyte, Solera, Shift and FRISS, sorted by the layer each one actually replaces.
- [Workers compensation premium fraud: employer misclassification investigations](https://gethesperai.com/blog/premium-fraud-employer-misclassification/) (2026-07-02): Workers comp premium fraud runs about $25B a year vs $9B claimant fraud and stays under-investigated. The typologies, red flags, and where AI closes the gap.
- [AI agent architecture for claims investigation: orchestration, memory, evals](https://gethesperai.com/blog/ai-agent-architecture-claims-investigation/) (2026-07-01): Why insurance claims investigation fits an AI agent architecture: orchestration, evidence memory, evals, and guardrails that resolve a flag - not score it.
- [The general counsel's guide to AI fraud investigation: discovery, privilege, and admissibility](https://gethesperai.com/blog/general-counsel-ai-fraud-investigation-litigation/) (2026-06-30): The Claims VP buys AI investigation. The GC has to make it survive discovery, privilege, authentication and a bad-faith theory. Here is the litigation spec.
- [Hesper AI vs. CCC Intelligent Solutions: investigation vs. estimating](https://gethesperai.com/blog/hesper-vs-ccc-intelligent-solutions/) (2026-06-29): CCC Intelligent Solutions processes and estimates auto claims; Hesper AI investigates flagged ones. A nine-dimension comparison and when you need both.
- [Claims triage automation: the 2026 playbook](https://gethesperai.com/blog/claims-triage-automation-guide/) (2026-06-26): Claims triage automation has solved routing and severity scoring, but not what happens to the claims it routes to SIU. That is where the coverage gap widens.
- [NAIC Model Act 680 implementation: a state-by-state SIU compliance guide](https://gethesperai.com/blog/naic-model-act-680-implementation-guide/) (2026-06-25): NAIC Model Act 680 SIU compliance, mapped state by state: what the model act requires, where the dedicated-SIU mandate lives, and how 48 states diverge.
- [The Compliance Officer's Guide to AI Claims Investigation Deployment](https://gethesperai.com/blog/compliance-officer-ai-investigation-deployment/) (2026-06-24): The compliance officer's map for AI fraud investigation deployment: NAIC AI Model Bulletin, NIST AI RMF, state SIU rules, and a 7-question vendor checklist.
- [Hesper AI pricing and packaging: how investigation gets priced and how to get a quote](https://gethesperai.com/blog/hesper-ai-pricing-guide/) (2026-06-19): Hesper AI is quote-based. What sets the number: claims volume, lines of business, coverage scope and integration surface, and how to build the business case.
- [The best AI claims investigation platforms in 2026: an honest evaluation](https://gethesperai.com/blog/best-ai-claims-investigation-platforms-2026/) (2026-06-18): AI claims investigation software investigates a flagged claim end to end; fraud detection only flags it. How six vendors compare in 2026, and how to choose.
- [Staged accident anatomy: a six-phase investigation playbook](https://gethesperai.com/blog/staged-accident-anatomy-investigation/) (2026-06-17): A staged accident investigation playbook in six phases: triage, reconstruction, network analysis, medical-mill forensics, EUO prep, and documented resolution.
- [The CIO checklist for an AI claims investigation rollout: security, integrations, MSAs](https://gethesperai.com/blog/cio-checklist-ai-investigation-rollout/) (2026-06-12): The CIO's five-gate checklist for an AI claims investigation rollout: data security, integrations, phased rollout, MSA and DPA terms, and AI governance.
- [How carriers should measure AI ROI in fraud investigation (hint: it's not NPS or cycle time)](https://gethesperai.com/blog/measuring-fraud-investigation-ai-roi/) (2026-06-09): 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.
- [ARISE levels of autonomy vs. investigation-specific AI: why Shift's claims taxonomy misses the fraud dimension](https://gethesperai.com/blog/arise-framework-investigation-autonomy-rebuttal/) (2026-06-09): Shift's ARISE taxonomy scores AI agent autonomy in insurance on five levels. Why fraud investigation needs a second axis: evidence depth and defensibility.
- [Insurance claims automation in 2026: what's automated, what's still manual](https://gethesperai.com/blog/insurance-claims-automation-2026-whats-automated/) (2026-06-09): Claims automation now covers FNOL, triage, estimating, payments and detection. Investigating flagged claims is the last manual step. The 2026 stack map.
- [The defensibility standard for fraud investigation AI: what "AI you can defend" actually requires](https://gethesperai.com/blog/fraud-investigation-ai-defensibility-standard/) (2026-06-08): What defensible AI requires in fraud investigation: a three-tier standard covering the evidence chain, decision trail, and support for the action taken.
- [5 Ocrolus alternatives for document AI in 2026](https://gethesperai.com/blog/ocrolus-alternatives/) (2026-06-03): 5 Ocrolus alternatives carriers shortlist in 2026: Hyperscience, ABBYY Vantage, Rossum, Inscribe, and the autonomous-investigation layer Ocrolus lacks.
- [The CFO ROI memo: making the case for AI claims investigation](https://gethesperai.com/blog/cfo-roi-memo-ai-claims-investigation/) (2026-05-27): The business case for AI claims investigation in three numbers: cost per investigated case, the coverage gap from about 25% to 100%, and payback period.
- [5 Verisk alternatives for insurance fraud detection in 2026](https://gethesperai.com/blog/verisk-alternatives/) (2026-05-26): 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.
- [Shift Claims vs. Hesper: agentic AI for claims handling vs. autonomous investigation](https://gethesperai.com/blog/shift-claims-agentic-ai-vs-hesper/) (2026-05-25): Shift Claims is handler-assist agentic AI; Hesper is autonomous investigation. Both are agentic, but one speeds the handler and the other resolves the flag.
- [SIU director's first 90 days with AI investigation: a week-by-week onboarding playbook](https://gethesperai.com/blog/siu-director-first-90-days-with-ai/) (2026-05-25): A 90-day AI onboarding playbook for SIU directors: baseline the unit, scope the pilot, redesign the analyst role, lock the audit trail, run QC, measure lift.
- [SOC 2 and data handling for AI fraud investigation: what enterprises require](https://gethesperai.com/blog/soc2-compliance-ai-fraud-investigation/) (2026-05-14): A SOC 2 report is the floor, not the ceiling. The seven data-handling controls a Carrier CIO has to verify before signing an AI claims-investigation vendor.
- [SIU KPIs in 2026: the 12 metrics every director should track](https://gethesperai.com/blog/siu-kpis-what-to-track-2026/) (2026-05-13): The 12 SIU KPIs to track in 2026 across four quadrants - speed, quality, financial, capacity - plus four governance metrics once AI enters the workflow.
- [Top 10 insurance fraud detection platforms in 2026](https://gethesperai.com/blog/top-fraud-detection-platforms-2026/) (2026-05-13): The 10 insurance fraud detection software platforms on US P&C shortlists in 2026, plus the wider vendor set, what it costs and published detection rates.
- [Top 10 claims management systems for P&C carriers in 2026](https://gethesperai.com/blog/top-claims-management-systems-pc-carriers-2026/) (2026-05-13): 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.
- [The SIU Director's Toolkit: 12 Essential Tools for 2026](https://gethesperai.com/blog/siu-director-toolkit-2026-essential-tools/) (2026-05-13): The 12 SIU investigation tools for 2026, mapped to six phases: detection, cross-carrier data, OSINT, document forensics, investigation, case management.
- [The Claims VP playbook for deploying AI investigation: budget, timeline, change management](https://gethesperai.com/blog/claims-vp-deploying-ai-investigation-playbook/) (2026-05-12): A Claims VP buying guide for AI investigation: pilot and 12-month budget ranges, phased rollout, stakeholder map, change management, and board outcomes.
- [Fraud prevention vs. detection vs. investigation: the three-layer model](https://gethesperai.com/blog/insurance-fraud-prevention-vs-detection-vs-investigation/) (2026-05-11): Prevention, detection and investigation are three anti-fraud layers with different inputs, outputs and owners. Here is the matrix carriers should buy against.
- [Hesper AI vs. Verisk: how the investigation-vs-detection difference plays out](https://gethesperai.com/blog/hesper-vs-verisk/) (2026-05-08): Verisk's ClaimSearch and ClaimDirector detect fraud; they do not investigate it. How Hesper's investigation layer fits downstream, and when to run both.
- [Claims management systems compared: Guidewire vs. Duck Creek vs. Majesco vs. Snapsheet](https://gethesperai.com/blog/claims-management-systems-comparison/) (2026-05-07): Guidewire, Duck Creek, Majesco and Snapsheet make the 2026 P&C shortlist. How they differ on tier and deployment, and the SIU layer none of them ship.
- [The ROI of AI claims investigation: 3 carrier case studies](https://gethesperai.com/blog/roi-ai-claims-investigation-case-studies/) (2026-05-06): Three modeled ROI scenarios for AI claims investigation at small regional, mid-market, and Top-25 carriers, built on CAIF, NICB, and NAIC baselines.
- [The 2026 SIU technology stack: detection, investigation, case management](https://gethesperai.com/blog/siu-technology-stack-2026/) (2026-05-05): The 2026 SIU technology stack has three layers: detection, investigation, case management. Most carriers buy two and staff the third with headcount.
- [Evaluating AI fraud investigation vendors: a 12-point checklist for SIU leaders](https://gethesperai.com/blog/evaluating-ai-fraud-investigation-vendors-checklist/) (2026-04-17): A 12-point checklist for evaluating AI fraud investigation vendors: the first test is whether the output is a risk score or a fully cited report.
- [Legacy rules-based systems vs. autonomous AI: why 60% of fraud flags are false positives](https://gethesperai.com/blog/legacy-rules-vs-autonomous-ai-fraud-detection/) (2026-04-17): Rules-based fraud detection vs AI: legacy platforms fire 5-10 alerts per confirmed fraud case. See how autonomous investigation agents change SIU economics.
- [How to generate an audit-ready fraud investigation report in minutes](https://gethesperai.com/blog/audit-ready-fraud-report-speed-ai/) (2026-04-16): Report writing eats 4-8 hours per SIU case. How AI agents produce an audit-ready fraud investigation report with citations, in minutes of investigator review.
- [Benchmarking SIU performance in 2026: why 10 investigations per month is obsolete](https://gethesperai.com/blog/siu-performance-benchmarking-2026/) (2026-04-15): New SIU performance benchmarks: autonomous AI lifts the ceiling from 10 investigations per investigator per month to 800+, with targets by carrier size.
- [The hidden integration costs of adding AI modules to legacy claims management suites](https://gethesperai.com/blog/hidden-integration-costs-legacy-claims-ai/) (2026-04-14): Hidden integration costs of AI claims modules run 3-5x the sticker price. The six cost categories, the decoupled alternative, and RFP questions to ask.
- [From three weeks to minutes: how autonomous AI agents compressed the SIU reporting timeline](https://gethesperai.com/blog/ai-agents-siu-reporting-timeline-compression/) (2026-04-14): A stage-by-stage map of the SIU reporting timeline, manual vs autonomous AI: where the compression comes from and which human steps are worth keeping.
- [A claims investigator's guide to clearing the high-volume backlog without increasing headcount](https://gethesperai.com/blog/claims-investigator-backlog-guide/) (2026-04-13): Five interventions, in priority order, to clear a claims investigator backlog without new headcount - with the math for each and where AI investigation fits.
- [Parallel processing in SIU: how running 15 investigation phases simultaneously changes the claims workflow](https://gethesperai.com/blog/parallel-processing-siu-investigation-phases/) (2026-04-13): Sequential work is why SIU cases take 14+ days. How parallel processing runs 15 investigation phases at once, resolves dependencies, and lifts throughput.
- [How insurance companies investigate fraud: inside the SIU process](https://gethesperai.com/blog/how-insurance-companies-investigate-fraud/) (2026-04-09): From red flag to courtroom-ready evidence: how SIU teams investigate fraud, where it breaks down, and why most carriers work only 25% of flagged claims.
- [Medical record fraud in insurance claims: the $105 billion blind spot](https://gethesperai.com/blog/medical-record-fraud-insurance-claims/) (2026-04-09): Medical record fraud appears in 42% of workers' comp fraud and drives $105B in losses. How fabricated treatments and inflated billing slip past review.
- [Insurance fraud red flags: 20 indicators every claims team should catch](https://gethesperai.com/blog/insurance-fraud-red-flags-checklist/) (2026-04-09): 20 insurance fraud red flags across document, behavioral, and financial categories, ranked by predictive value - a checklist that beats gut instinct.
- [Workers' compensation fraud investigation: the complete guide for 2026](https://gethesperai.com/blog/workers-compensation-fraud-investigation-guide/) (2026-04-07): Workers compensation fraud costs insurers $7.2B a year. How to detect faked injuries, employer premium fraud, and provider collusion in minutes, not weeks.
- [Auto insurance fraud investigation: detecting staged accidents and fraud rings](https://gethesperai.com/blog/auto-insurance-fraud-investigation-staged-accidents/) (2026-04-07): How accident fraud forensics proves a crash was staged: crush damage vs narrative, EDR and infotainment data, who investigates, and the path to prosecution.
- [Insurance claims leakage: how uninvestigated claims drain profitability](https://gethesperai.com/blog/insurance-claims-leakage-reduce-losses/) (2026-04-07): Claims leakage costs US insurers an estimated $30B+ a year, mostly on claims flagged but never fully investigated. How AI investigation agents close the gap.
- [Deepfake insurance claims: AI-generated fraud in 2026](https://gethesperai.com/blog/deepfake-insurance-claims-ai-fraud-2026/) (2026-03-31): Deepfake insurance fraud is up 2,137% in three years. How AI-generated claim photos and synthetic documents are overwhelming traditional detection.
- [How to tell if a PDF has been edited or tampered with](https://gethesperai.com/blog/how-to-tell-if-pdf-has-been-edited/) (2026-03-31): Edited PDFs leave forensic traces most eyes miss. How to check PDF metadata, spot visual artifacts, and why pixel-level AI is the reliable method at scale.
- [How to detect a fake bank statement in 2026](https://gethesperai.com/blog/how-to-detect-fake-bank-statements/) (2026-03-31): Forged bank statements cost lenders $186B a year. How the fakes are made, the red flags to check, why manual review fails, and how AI catches them at scale.
- [Why 75% of flagged insurance claims are never fully investigated](https://gethesperai.com/blog/why-flagged-insurance-claims-never-investigated/) (2026-03-29): SIU teams flag thousands of claims and fully investigate about 1 in 4. The capacity math behind the gap, what happens to the rest, and how AI closes it.
- [Insurance fraud statistics 2026: the $308 billion problem](https://gethesperai.com/blog/insurance-fraud-statistics-2026/) (2026-03-27): $308.6 billion in annual losses, fraud by line of business, the AI-generated fraud surge, and which of the industry's most-quoted numbers actually hold up.
- [ChatGPT and deepfake documents: the AI fraud explosion](https://gethesperai.com/blog/chatgpt-deepfake-documents-ai-fraud/) (2026-03-20): Generative AI makes fake financial documents easy to produce. How AI document fraud works, its scale in 2026, and why detection needs a new approach.
- [Fake pay stubs: how to detect forged payslips with AI in 2026](https://gethesperai.com/blog/fake-pay-stubs-detect-forged-payslips-ai/) (2026-03-18): Forged payslips are surging in loan and income fraud. How fake pay stubs are created, why traditional verification fails, and how AI catches them.
- [Accounts payable fraud: stopping invoice schemes with AI](https://gethesperai.com/blog/accounts-payable-fraud-document-forensics/) (2026-03-16): Fraudsters exploit AP workflows with altered bank details, duplicate invoices, and fabricated vendor docs. How document forensics stops them.
- [KYC document fraud: detecting fake IDs at fintech onboarding](https://gethesperai.com/blog/kyc-document-fraud-fintechs/) (2026-03-14): How fake IDs and forged income documents pass standard KYC and IDV checks, what independent DHS testing found, and what pixel-level forensics catches.
- [Document fraud statistics 2026: the $4.7 trillion problem](https://gethesperai.com/blog/document-fraud-statistics-2026/) (2026-03-13): Document fraud costs $4.7T annually. Data on fraud rates by sector, detection gaps, and the 400% rise in AI-generated fakes since 2024.
- [Document fraud detection software: a buyer's guide for 2026](https://gethesperai.com/blog/document-fraud-detection-software-guide/) (2026-03-12): Compare document fraud detection tools across three lanes, the forensic techniques behind pixel-level AI, and a two-week PoC plan. A 2026 buyer's guide.
- [The rise of AI-generated invoice fraud in 2026](https://gethesperai.com/blog/rise-of-ai-generated-invoice-fraud/) (2026-03-10): AI-generated fake invoices pass OCR checks 95% of the time, volume up 400% since 2024. Why rule-based systems miss them and what pre-OCR forensics catch.
- [Why OCR alone isn't enough for document verification](https://gethesperai.com/blog/why-ocr-alone-isnt-enough/) (2026-03-05): 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.
- [Detecting fake receipts: a guide for expense platforms](https://gethesperai.com/blog/expense-platforms-detect-fake-receipts/) (2026-02-28): Expense fraud costs 5% of annual revenue. Common fake receipt techniques and how expense platforms can catch them automatically.

## Comparisons

- [Hesper AI vs FRISS](https://gethesperai.com/compare/hesper-vs-friss/)
- [Hesper AI vs Shift Technology](https://gethesperai.com/compare/hesper-vs-shift-technology/)
- [Hesper AI vs manual investigation](https://gethesperai.com/compare/hesper-vs-manual-investigation/)
- [Hesper AI vs Tractable](https://gethesperai.com/compare/hesper-vs-tractable/)
- [Hesper AI vs Ocrolus](https://gethesperai.com/compare/hesper-vs-ocrolus/)
- [FRISS vs Shift Technology](https://gethesperai.com/compare/friss-vs-shift-technology/)
- [FRISS alternatives](https://gethesperai.com/compare/friss-alternatives/)
- [Shift Technology alternatives](https://gethesperai.com/compare/shift-technology-alternatives/)
- [Tractable alternatives](https://gethesperai.com/compare/tractable-alternatives/)
- [Bevaya alternatives](https://gethesperai.com/compare/bevaya-alternatives/)
- [Charlee.ai alternatives](https://gethesperai.com/compare/charlee-ai-alternatives/)
- [CLARA Analytics alternatives](https://gethesperai.com/compare/clara-analytics-alternatives/)
- [Five Sigma alternatives](https://gethesperai.com/compare/five-sigma-alternatives/)
- [Gradient AI alternatives](https://gethesperai.com/compare/gradient-ai-alternatives/)
- [Owl.co alternatives](https://gethesperai.com/compare/owl-co-alternatives/)
- [Sapiens ClaimsPro alternatives](https://gethesperai.com/compare/sapiens-claimspro-alternatives/)
- [Wisedocs alternatives](https://gethesperai.com/compare/wisedocs-alternatives/)

## Glossary

- [First notice of loss (FNOL)](https://gethesperai.com/glossary/first-notice-of-loss/)
- [Claims triage](https://gethesperai.com/glossary/claims-triage/)
- [Straight-through processing (STP)](https://gethesperai.com/glossary/straight-through-processing/)
- [Claims leakage](https://gethesperai.com/glossary/claims-leakage/)
- [Subrogation](https://gethesperai.com/glossary/subrogation/)
- [Claims adjuster](https://gethesperai.com/glossary/claims-adjuster/)
- [Loss ratio](https://gethesperai.com/glossary/loss-ratio/)
- [Combined ratio](https://gethesperai.com/glossary/combined-ratio/)
- [Special Investigations Unit (SIU)](https://gethesperai.com/glossary/special-investigations-unit/)
- [Insurance fraud red flags](https://gethesperai.com/glossary/insurance-fraud-red-flags/)
- [Soft fraud vs hard fraud](https://gethesperai.com/glossary/soft-fraud-vs-hard-fraud/)
- [Staged accident](https://gethesperai.com/glossary/staged-accident/)
- [Fraud ring](https://gethesperai.com/glossary/fraud-ring/)
- [Material misrepresentation](https://gethesperai.com/glossary/material-misrepresentation/)
- [Examination under oath (EUO)](https://gethesperai.com/glossary/examination-under-oath/)
- [Document forensics](https://gethesperai.com/glossary/document-forensics/)
- [OSINT in insurance investigation](https://gethesperai.com/glossary/osint-insurance-investigation/)
- [Network analysis (fraud detection)](https://gethesperai.com/glossary/network-analysis-fraud/)
- [National Insurance Crime Bureau (NICB)](https://gethesperai.com/glossary/nicb/)
- [ISO ClaimSearch](https://gethesperai.com/glossary/iso-claimsearch/)
- [Suspicious activity report (SAR)](https://gethesperai.com/glossary/suspicious-activity-report/)

## Machine-readable copies

- Every blog post has a clean markdown copy at its URL plus `.md`, for example https://gethesperai.com/blog/first-notice-of-loss-process.md
- [llms-full.txt](https://gethesperai.com/llms-full.txt): this file plus each post's summary and key takeaways inline
- [RSS feed](https://gethesperai.com/feed.xml) of every post
- [Sitemap](https://gethesperai.com/sitemap.xml) and [robots.txt](https://gethesperai.com/robots.txt) (all AI crawlers are allowed)

## Company

- Hesper AI, founded 2024, backed by Y Combinator and Afore Capital
- Founders: [Pankaj Dhariwal](https://gethesperai.com/authors/pankaj-dhariwal/) (CEO) and [Nitish Badu](https://gethesperai.com/authors/nitish-badu/) (COO)
- Contact: support@gethesperai.com, or [book a demo](https://gethesperai.com/demo/)