01
Assess.
Map the deployment: model, data, tools, permissions, and autonomy.
Insurance for AI deployments
Make your AI deployment insurable.
Understand the risk in each AI deployment and build the evidence insurers need.
Talk to usHow it works
From gap analysis to underwriting evidence.
02
Identify.
Find the liability gaps and the ways they could create loss.
03
Recommend.
Prioritize the guardrails most likely to reduce exposure.
04
Verify.
Confirm the guardrails work and record the change in risk.
05
Evidence.
Package the verified findings for underwriting review.
Continuous reassessment
A change to the model, data, tools, or permissions starts the loop again.
Why VizCo
Insurers need evidence, not another questionnaire.
Traditional underwriting relies on a self-reported snapshot. But AI deployments keep changing as models, data, tools, and permissions change.
VizCo creates deployment-level evidence: where the liability gaps are, which guardrails are in place, and how much they reduce risk.
Who it is for
Evidence for the AI you sell and operate.
Two insurance pathways, built on the same deployment-level evidence.
For AI providers
AI Guarantee readiness
Support the outcome you promise.
Give customers clearer evidence that the AI product or service you deliver has been assessed against an agreed performance commitment.
AI product
You deliver
Agreed outcome
Customer expects
AI Guarantee readiness
Evidence for performance backing
For enterprises
AI Liability readiness
Prepare AI risk for underwriting.
Give insurers a clearer view of the liability created by what an AI deployment says and does.
AI deployment
You operate
Liability exposure
Measured and verified
AI Liability readiness
Evidence for liability underwriting
Start a conversation
Bring us one AI deployment.
We'll show you where the risk sits and what evidence is missing.