VectorIQ is the first actuarial-grade scoring standard for AI risk, turning messy AI exposure into structured, carrier-ready risk intelligence. It helps companies understand their AI risk profile and gives brokers and carriers a more defensible starting point for evaluation.
VectorIQ combines proprietary scoring, evidence-based verification, and industry calibration to assess how AI is being used, where material risks sit, and how those risks translate into underwriting-relevant insight.
The methodology is proprietary and patent pending. What matters publicly is simple: the output is structured, defensible, and designed for real-world underwriting and risk decisions.
Evaluates AI risk across a broad set of business, operational, technical, and governance factors.
Risk expectations and underwriting considerations vary by sector, use case, and regulatory environment.
Self-reported inputs are strengthened through documentation, operating evidence, and independent verification where available.
The output is designed to help companies, brokers, and carriers have a more structured conversation about AI exposure.
AI risk does not look the same across industries. A healthcare company, a financial institution, a software platform, and a professional services firm may all use AI heavily, but the nature of the exposure, the potential harm, and the underwriting implications can differ materially.
VectorIQ reflects those differences through industry-specific calibration, business-model context, and relevant regulatory overlays.
Decisioning, fraud, servicing, and model-driven workflows
Clinical support, triage, patient-facing, and operational use cases
Research, drafting, review, and client-facing AI assistance
Product-embedded AI, developer tools, infrastructure, and platforms
Quality, forecasting, operations, maintenance, and automation
Personalization, pricing, service, merchandising, and demand planning
Public services, compliance, operations, and decision-support use cases
Advisory, audit, workflow acceleration, and client delivery tools
Each assessment generates a structured output designed for two audiences: the company managing the risk and the underwriter evaluating it.
A structured view of the organization’s AI exposure, with clear prioritization of the most material risk areas.
A view of where AI sits in the business, how it is being used, and where risk is most concentrated.
An evaluation of how well the organization’s controls, governance, and operating discipline match the risk it is taking on.
A structured underwriting input designed to support broker and carrier review. It is meant to inform underwriting judgment, not replace it.
A practical view of what to address first, what matters most, and where improvement can materially strengthen the risk profile.
A concise underwriting package that organizes the relevant narrative, evidence, and risk insights into a format carriers can review more efficiently.
VectorIQ was built specifically for AI risk, reflecting the way AI creates exposure across decisions, operations, controls, and third-party dependencies.
Many assessments rely on what companies say. VectorIQ builds a more defensible picture through structured inputs, supporting evidence, and verification.
Most frameworks stop at governance review. VectorIQ translates AI exposure into underwriting-ready structure for companies, brokers, and carriers.
“Most AI submissions we see are just a governance checklist. This was the first time we got something structured enough to actually underwrite from.”
“We’ve been placing AI-adjacent risk under cyber and E&O for years, but never had a clean way to present the exposure. VectorIQ gave us a submission package that didn’t need three follow-up calls to explain.”
“We thought we had a handle on our AI risk. The assessment surfaced exposure areas we hadn’t considered, gave us a clear picture of where we stood, and made it obvious we needed dedicated coverage.”
Whether you are a company evaluating your own AI exposure or a broker helping a client present it clearly, the process starts with a conversation.