AI Agent Risks

Published September 18, 2026Updated September 21, 2026

Free PDF guide, 2 pages

AI Agent Risks explains where AI agent risk comes from, the outcomes that matter, and what can increase the impact of a failure.

What’s inside

4 sources of agent risk: existing software and model risks, planning and reasoning, tools, and protocols.
5 possible agent risks, from erroneous actions to disruption of connected systems.
Why agent risk can spread quickly: speed and volume, cascading effects, and multi-agent complexity.
4 governance questions to start with, and a worked example: an internal legal Q&A agent.

Your request also includes the companion guide, AI Agent Fundamentals.

General education only. This resource is not legal advice, a certification, or a compliance determination.

Enter your name and email. After your request is received, both guides will appear here right away.

Open or download either 2-page guide below.

Use this guide to define one agent’s job, inputs, outputs, tools, permissions, approvals, and monitoring.

Use this guide to check access, actions, autonomy, consequences, and where human approval should sit.

Check your inbox for one short follow-up. You are not subscribed to the newsletter.

General education only. These resources are not legal advice, a certification, or a compliance determination.

We couldn’t save your request. Please try again or email hello@ortaire.com.

AI workflow evidence card

AI workflow checkpoint and ownership card

Check Your AI Readiness

Take ten questions to identify strengths and gaps in how your legal team adopts and governs AI.