Risk Management

While a data protection policy covers how you handle personal data across all systems, the AI Risk Management Service specifically addresses the unique risks of generative AI: hallucinations, prompt injection, unintended data disclosure, and output validation. We provide practical, role-specific guidance that helps teams use AI tools safely in their day-to-day work, complementing rather than replacing your broader data protection framework.

That's precisely why this service exists. We start with a free consultation and Shadow AI Governance Assessment to identify current usage patterns and risks. The policy addresses real tools and workflows your team already uses, making it immediately applicable rather than theoretical. The SOP provides step-by-step guidance to transition from informal usage to safe, governed practices without disrupting productivity.

No. The policy and SOP are written in plain English and designed for non-technical teams to understand and apply. We provide a quick-reference summary, role-based examples, and clear escalation procedures. Your chosen follow-up review (30, 60, or 90 days) and refresh checklist help you maintain the policy as AI tools evolve, with guidance on when to update rather than requiring constant monitoring.

The SOP is a comprehensive, self-contained document designed for asynchronous use across all locations. It includes step-by-step guidance, role-based examples, and decision trees that teams can reference independently. The quick-reference summary provides an at-a-glance overview for day-to-day use, and the acknowledgement system works digitally for distributed teams.

The policy is designed to be tool-agnostic, focusing on principles (data handling, output validation, escalation) rather than specific platforms. The refresh checklist guides you through assessing new tools against existing guardrails. Your chosen follow-up review provides an opportunity to update the policy, or you can request an ad-hoc review at any time.

Yes. The policy includes role-based guidance that reflects different risk profiles - for example, stricter controls for finance and legal teams handling sensitive data, while allowing more flexibility for marketing teams working with public information. This balanced approach prevents the policy from being either too restrictive or too permissive.

We provide a simple sign-off mechanism (digital form or document-based) where team members confirm they've read and understood the policy. This creates a lightweight audit trail without complex systems. The tracking method is tailored to your organisation's size and technical capabilities - from a shared spreadsheet to integration with your HR system.