The CEO wants an AI powered feature in the next release. A vendor demo looks magical, a prototype prompt is already running-and suddenly you're the one worrying about harmful outputs, data leaks, edge cases and the ICO. Shipping Safe AI is a compact, decision focused handbook for UK product managers, UX designers and technical leads in small to mid sized software companies. Instead of abstract ethics debates or US centric case law, it stays close to the realities of shipping LLM driven functionality into consumer products under tight time and budget constraints. Step by step, Elliot Marsh shows how to move from rough idea to live feature with guardrails that lean teams can maintain: safer interaction patterns and copy, privacy by default flows, lightweight prompt and model governance, and pragmatic vendor selection. UK law and guidance appear as concrete signposts rather than dense legal commentary-just enough to spot red flags, ask better questions and document trade offs. You'll see how to pilot and roll out AI features without turning your team into a compliance department: nudging users away from unsafe use, applying simple privacy and security checks that don't stall delivery, evaluating models and vendors with risk as well as price in mind, setting up tests and monitoring that catch problems early, and responding effectively when incidents happen. For UK teams shipping AI features without in house ML or legal specialists, this is a practical guide to making clearer decisions, capturing them in lean documentation and protecting both users and the business.