AI Safety, Governance & Data Privacy

Large language models (LLMs) and AI assistants can be powerful tools – but they also introduce new risks around data privacy, accuracy and uncontrolled behaviour. I design AI features with safety and governance built in from the start.

This is particularly important for systems dealing with confidential information, compliance and internal policies.

Safe AI integration principles

• Keeping sensitive data out of external AI providers where required
• Using retrieval-augmented generation (RAG) so answers are grounded in your own content
• Designing prompts and guardrails to reduce off-topic or unsafe responses
• Logging and audit trails for important AI-assisted decisions
• Monitoring cost and usage so AI spend doesn’t drift unexpectedly