Question 1

Does IntelliHuman have customer case studies?

Accepted Answer

Not yet. We are an early-stage company working with a limited number of claims design partners in 2026. Scenarios and sample outputs on this site are illustrative, not customer attributions. Verified pilot outcomes may be co-published with partner permission.

Question 2

What is a design partner?

Accepted Answer

A carrier or claims operation that runs one workflow — triage, coverage, or subrogation — in a structured 90-day pilot on their own Guidewire or Duck Creek stack. Partners validate workflows in production, influence the roadmap, and face no long-term commitment for the pilot period.

Question 3

How should I evaluate IntelliHuman without customer logos?

Accepted Answer

Review the sample decision trace on our Claims page, walk through the 90-day pilot framework on our Pilot page, then run a pilot on your own baselines. Headline metrics on this site are design targets — your pilot produces your verified results.

Question 4

What is IntelliHuman?

Accepted Answer

IntelliHuman provides decision infrastructure for regulated workflows — starting with insurance claims. Workflows are built from real expert knowledge (adjusters, clinicians, dispatchers) and ship with audit-ready rationale, policy citations, and integration overlays for systems like Guidewire and Duck Creek.

Question 5

What is decision infrastructure?

Accepted Answer

Decision infrastructure is software that turns expert judgment into consistent, explainable, auditable decisions — with cited policy provisions, confidence scores, human override paths, and exportable audit trails. It sits on top of your existing CMS or core systems rather than replacing them.

Question 6

How is Vertical AI different from general AI?

Accepted Answer

General AI (like ChatGPT) is trained broadly and lacks domain-specific policy grounding. Vertical AI goes deep into a regulated industry — understanding workflows, regulations, and expert decision patterns. IntelliHuman focuses on explainable decisions with citations, which general AI cannot reliably provide for compliance review.

Question 7

What industries does IntelliHuman serve?

Accepted Answer

We lead with insurance claims (triage, coverage reasoning, subrogation) and expand to healthcare prior authorization and logistics exceptions. We focus on regulated industries where expert judgment, compliance, and audit trails matter.

Question 8

How does IntelliHuman capture expert knowledge?

Accepted Answer

Subject Matter Experts contribute knowledge through a structured capture process — documenting decision logic, edge cases, and rationale. That knowledge is encoded into deployable workflows that reason like your best adjusters or clinicians, not generic document classifiers.

Question 9

Is IntelliHuman production-ready?

Accepted Answer

Workflows are built for regulated production use — with security controls, audit trails, and human override. IntelliHuman is an early-stage company: most teams start with a 90-day design partner pilot to verify outcomes on their own baselines before broader deployment.

Question 10

Does IntelliHuman replace human workers?

Accepted Answer

No. IntelliHuman augments expert judgment. Routine cases can be scored and routed automatically; complex or uncertain cases escalate to humans with full context, citations, and recommended rationale.

Question 11

How is IntelliHuman different from ChatGPT or Claude?

Accepted Answer

ChatGPT and Claude are general-purpose tools. IntelliHuman is domain-specific, policy-native, and audit-ready — with cited provisions, integration into your CMS, and decision trails designed for compliance review.

Question 12

Can IntelliHuman explain its decisions?

Accepted Answer

Yes. Every decision includes explainable rationale with citations to policies, rules, and knowledge sources. See the sample decision trace on the Claims product page for an illustrative example.

Question 13

What is IntelliHuman Claims?

Accepted Answer

IntelliHuman Claims is decision infrastructure for insurance claims processing — triage scoring, coverage reasoning with policy citations, subrogation detection, and expert routing. It overlays Guidewire, Duck Creek, Majesco, and custom CMS environments.

Question 14

How does AI claims triage work?

Accepted Answer

Incoming FNOL data is scored for complexity, severity, and required expertise. Claims route to the appropriate adjuster from day one — simple claims fast-track, complex claims go to senior adjusters, and fraud signals trigger SIU review.

Question 15

Can AI determine insurance coverage?

Accepted Answer

Yes. Coverage reasoning matches policy language, exclusions, and endorsements to claim facts and produces a decision with cited provisions and confidence score. Pilot design targets include 85% coverage decision accuracy — verify against your own baselines in a pilot.

Question 16

What is subrogation detection?

Accepted Answer

Subrogation detection identifies third-party liability and recovery opportunities by analyzing claim documents, police reports, and photos — flagging situations where another party may be at fault.

Question 17

How does AI handle insurance fraud detection?

Accepted Answer

Fraud signal detection analyzes claim patterns, documentation consistency, and behavioral indicators to flag high-risk cases for SIU review — reducing false positives versus rule-only systems.

Question 18

Does IntelliHuman Claims integrate with Guidewire, Duck Creek, or Majesco?

Accepted Answer

Yes. Claims integrates via REST API, webhooks, or pre-built connectors for Guidewire ClaimCenter, Duck Creek, Majesco, Snapsheet, and custom systems — as an overlay, not a CMS replacement.

Question 19

Can AI handle all types of insurance claims?

Accepted Answer

Routine auto, property, and general liability claims are strong fits. Highly complex commercial, aviation, or catastrophe claims benefit from immediate senior adjuster review, with AI providing decision support and audit-ready rationale.

Question 20

What is the ROI of AI claims processing?

Accepted Answer

Pilot design targets include 40% faster handling, 2× subrogation signal detection, and improved adjuster capacity. These are targets to verify in your environment — not published customer results. See /pilot for the measurement framework.

Question 21

Can AI process claims in real-time?

Accepted Answer

Triage scoring and coverage reasoning complete in seconds, so claims move through workflows immediately instead of sitting in manual review queues.

Question 22

How does the system learn from adjuster decisions?

Accepted Answer

Adjuster feedback, overrides, and outcomes can feed continuous improvement while maintaining explainability — every decision remains auditable with exportable rationale.

Question 23

What is IntelliHuman Prior Authorization?

Accepted Answer

Prior Authorization is decision infrastructure for medical necessity evaluation, documentation gap analysis, and authorization submission prep — built from clinical workflow expertise.

Question 24

Is Prior Authorization HIPAA compliant?

Accepted Answer

The architecture is HIPAA-ready with PHI encryption, role-based access, audit logging, and BAA availability. Confirm compliance requirements for your deployment during pilot scoping.

Question 25

How does AI medical necessity determination work?

Accepted Answer

Clinical indicators from documentation are matched to payer-specific medical necessity criteria — evaluating history, diagnosis codes, and proposed treatment against evidence-based guidelines and payer policies.

Question 26

Can AI handle peer-to-peer reviews?

Accepted Answer

The workflow generates talking points, clinical rationale, and literature citations to prepare clinicians for peer-to-peer discussions — it does not conduct the review itself.

Question 27

Does AI provide clinical advice?

Accepted Answer

No. Prior Authorization focuses on administrative workflow support — matching documentation to payer criteria and preparing submissions. It does not provide clinical diagnosis or individual patient medical advice.

Question 28

Does Prior Authorization integrate with Epic, Cerner, or other EHRs?

Accepted Answer

Yes. Integration is available via HL7, FHIR, or custom APIs to reduce manual data entry for clinical staff.

Question 29

What is the ROI of prior authorization automation?

Accepted Answer

Pilot design targets include 60% reduction in PA processing time and 35% improvement in first-pass approvals. Verify outcomes in a structured pilot — headline numbers are targets, not customer attributions.

Question 30

What is IntelliHuman Logistics Exceptions?

Accepted Answer

Logistics Exceptions is decision infrastructure for shipment exception handling — detecting delays, damages, POD mismatches, and routing issues, then recommending resolution strategies based on dispatcher expertise.

Question 31

What types of logistics exceptions can AI handle?

Accepted Answer

Delivery delays, shipment damages, POD mismatches, incorrect routing, carrier capacity issues, detention and demurrage, customs holds, and documentation errors.

Question 32

Does Logistics Exceptions integrate with TMS systems?

Accepted Answer

Yes. Integration via API with major Transportation Management Systems — receiving tracking data and pushing resolution recommendations into operational workflows.

Question 33

What is the ROI of logistics exception automation?

Accepted Answer

Pilot design targets include 40–50% faster exception resolution and improved on-time delivery. Verify against your baselines in a pilot — we do not publish customer ROI claims.

Question 34

How does IntelliHuman integrate with existing systems?

Accepted Answer

IntelliHuman integrates via REST API, webhooks, or pre-built connectors for Guidewire, Duck Creek, Epic, SAP, Oracle, and custom systems. Typical pilot integrations take 1–4 weeks depending on scope.

Question 35

Does IntelliHuman require data migration?

Accepted Answer

No. IntelliHuman connects to existing systems via API. Your data stays in your systems of record.

Question 36

What security certifications does IntelliHuman have?

Accepted Answer

IntelliHuman is SOC 2 aligned with HIPAA-ready architecture and BAA availability, and complies with GDPR. We use AES-256 encryption, TLS 1.3, and conduct penetration testing.

Question 37

Does IntelliHuman train AI on our enterprise data?

Accepted Answer

No. Your enterprise data is never used to train models shared across tenants. Customer data is logically isolated. Your data remains yours.

Question 38

Where is data hosted?

Accepted Answer

Data is hosted on SOC 2 certified infrastructure (AWS). Deployment options include US and EU regions with configurable retention and deletion policies.

Question 39

How long does deployment take?

Accepted Answer

Pilot deployments typically take 1–4 weeks including integration and configuration. A 90-day pilot gives enough time to verify outcomes before broader rollout.

Question 40

What happens if AI makes a wrong decision?

Accepted Answer

Human experts can override recommendations. Overrides are captured with reason codes. Complex or uncertain cases escalate to human review with full context.

Question 41

How is IntelliHuman priced?

Accepted Answer

Pricing is based on usage (decisions processed) or subscription tiers depending on volume. Design partners receive favorable commercial terms after a verified pilot. Contact us for scoping.

Question 42

Is there a free trial?

Accepted Answer

We offer structured 90-day design partner pilots — not self-serve trials. Pilots run on a subset of your claims workflow with agreed KPIs and no long-term contract required. Apply at /pilot.

Question 43

Can we customize workflows for our policies?

Accepted Answer

Yes. Workflows are configured to match your policies, playbooks, and business rules. Design partners influence triage, coverage, and subrogation workflow design during the pilot.

Question 44

What is the contract length?

Accepted Answer

Pilot programs have no long-term commitment. Post-pilot commercial terms are negotiated based on verified outcomes and scope.

Question 45

Can we start small and expand?

Accepted Answer

Yes. Most design partners start with a single claims workflow — triage, coverage, or subrogation — verify outcomes in a 90-day pilot, then expand. The architecture supports phased deployment.

Question 46

How do I get started?

Accepted Answer

Review the sample decision trace at /products/claims, then apply for a claims design partner pilot at /pilot. We respond within 48 hours and will tell you honestly if IntelliHuman is a fit for your stack.

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