AI Risk Assessment
Identify the risks in your AI deployments before they become incidents. Practical mitigation strategies, not theoretical frameworks.
Every AI deployment carries risk — operational, reputational, legal, and technical. The question is not whether risks exist, but whether you have identified them, quantified them, and put proportionate mitigations in place. Our AI risk assessment takes a structured approach to surfacing and addressing the risks specific to your AI systems and use cases. We assess risks across multiple dimensions: what happens when the model gets it wrong, what data is being exposed to third-party providers, what the legal implications are of automated decisions, how dependent critical processes are on AI availability, and what the reputational impact would be if something went publicly wrong. Each risk is scored on likelihood and impact, and mapped to specific, practical mitigation measures. The output is a risk register that integrates with your existing risk management processes. We do not just hand over a document — we work with your risk, legal, and technical teams to ensure each mitigation is realistic, owned, and tracked.
Use Cases
What this looks like in practice
New AI Project Risk Review
Before committing to a new AI initiative, identify and assess the risks to inform go/no-go decisions and shape the project plan.
Enterprise AI Risk Register
Build a comprehensive risk register covering all AI systems in the organisation, integrated with your existing enterprise risk management framework.
Data Exposure Assessment
Evaluate the risk of sensitive data being exposed through AI systems — including data sent to cloud AI providers, training data leakage, and output-based inference.
Operational Dependency Analysis
Assess how dependent critical business processes are on AI systems, and build contingency plans for outages, degraded performance, or model failures.
Reputational Risk Modelling
Evaluate the reputational risks of AI deployments — from biased customer interactions to public-facing errors — and design appropriate safeguards.
Technology
Tools we work with
How It Works
Our approach
Context & Scoping
Understand the AI systems, business context, regulatory environment, and risk appetite
Risk Identification
Systematically identify risks across operational, legal, reputational, and technical dimensions
Risk Analysis & Scoring
Assess each risk on likelihood and impact using structured scoring criteria
Mitigation Design
Define proportionate, practical mitigation measures with clear ownership and timelines
Register & Integration
Deliver a risk register that integrates with your existing risk management processes
Starting from
£8K
Timeline
1-2 weeks
Ready to get started?
Book a free strategy call and we'll assess whether this service is the right fit for your business.