A simple, structured engagement designed to surface real AI risk quickly — without disrupting day-to-day operations.

Step 1: Understand how AI is actually used

We work with your teams to identify where AI tools are in use — both approved systems and informal or “shadow” usage — and how data moves between people, systems, and third parties.

Step 2: Identify and prioritise risk

We document practical risks across data protection, security, operational resilience, and reputational impact — scoring each by likelihood and impact, with clear ownership.

Step 3: Prepare defensible evidence

We produce structured artefacts that support DPIAs, internal assurance, and regulator conversations — without claiming legal sign-off.

Step 4: Set ownership and escalation

We define who owns each risk, what controls are expected, and when issues should be escalated to legal counsel or executive decision-makers.