AI agents create new risks around outputs, recommendations, data access, autonomous actions, etc. Ollive AI E&O helps you understand liability exposure, identify potential policy gaps, and prepare for AI risk transfer.
Six insuring agreements across third-party and first-party AI liability — from outputs and bias to IP, regulatory proceedings, data disclosure, and incident response.
When your AI agent only runs in a demo, buyers evaluate capability. When it enters production, they evaluate accountability.
Enterprise customers want to understand what happens if the agent gives the wrong answer, exposes data, makes an unsafe recommendation, violates an obligation, triggers the wrong workflow, or creates downstream liability. Ollive helps you win that conversation before it slows the deal.
Ollive helps companies review where your current coverage is lacking and what is needed for your AI Agents.
Breaches, incidents, and network compromise — not how an autonomous agent behaves.
Software or service errors — but AI agents generate outputs, interpret data, and trigger workflows in new ways.
What they say, retrieve, recommend, and trigger — and how customers rely on them. Where coverage may be unclear.
Six insuring agreements covering the third-party and first-party exposure AI agents create in production.
Defense costs and indemnity for claims arising from AI outputs, across five sub-perils.
Defense costs and indemnity for claims of unlawful discriminatory outcomes from AI-assisted decisions.
Defense costs and indemnity for IP infringement claims from AI outputs, under a three-tier trigger.
Defense costs for regulatory investigations, plus fines and penalties where legally insurable.
Defense costs and indemnity for unauthorized data disclosure arising through AI outputs.
Costs of investigating, containing, and managing a qualifying AI Incident.
The best insurance conversations start with clear evidence. Ollive helps you show how agents are mapped, tested, monitored, and controlled against relevant risk areas and regulatory obligations — evidence that can support enterprise buyers, legal reviews, and AI E&O insurance.
Map the agent workflows, customer obligations, contracts, regulations, and failure modes to get your Agent Trust Score.
Evaluate where existing Cyber, Technology E&O, CGL, or customer contracts may leave uncertainty around AI-agent behavior.
Conduct risk evals pre-production and on runtime to create evidence that can supports enterprise contracts and insurability.
Use structured risk evals data and controls to purchase your purpose-built AI E&O insurance and win customer trust.
Ollive helps AI companies understand where agent risk lives, which rules may apply, what controls matter, and how to become ready for an AI E&O Insurance.