Research

AI Risk Assessment Framework and Risk Intelligence

Track and interpret the AI risk signals that matter for your business so you can deploy AI responsibly without slowing progress.

The Challenge

AI risk is multi-dimensional: regulatory, legal, security, reputational, and model failure risks do not map to traditional risk frameworks.
The regulatory landscape is moving faster than most organizations' risk functions can absorb, creating compliance gaps before programs are even in production.
Incident patterns from industry peers provide early warning signals that internal teams are not monitoring.
Risk registers for AI programs are either absent or too generic to support real governance decisions.

Our Approach

Structured AI risk intelligence covering risk scanning, incident pattern analysis, control mapping, and scenario analysis. The output is an actionable view of the risk landscape, a risk register seed, recommended controls, and a watch list of emerging issues relevant to your roadmap.

What You Can Expect

A current, prioritized view of the AI risk landscape relevant to your industry and use cases.
A risk register seed with pre-populated entries for the most relevant regulatory, technical, and reputational risks.
Recommended controls mapped to each identified risk, ready for integration into your governance framework.
A watch list of emerging issues that will require monitoring as your AI program scales.
The confidence to move forward with AI deployments knowing the risk picture has been assessed.

3 to 5 weeks for an initial risk intelligence engagement; ongoing monitoring available.

Our Process

Risk Scanning: Identify the regulatory, legal, security, reputational, and model-failure risks relevant to your industry, use cases, and geography.
Incident Pattern Analysis: Review AI incident patterns from industry peers and public sources to surface risks that have already materialized elsewhere.
Control Mapping: Map recommended controls to each identified risk, drawing on established frameworks and regulatory guidance.
Scenario Analysis: Model the most significant risk scenarios to assess potential impact and appropriate response options.
Deliver: Produce the risk brief, risk register seed, recommended controls, and emerging issues watch list.

Frequently Asked Questions

Get an actionable view of the AI risk landscape specific to your industry and roadmap, so every deployment decision is made with eyes open. Risk register seed, controls, and watch list included.