Every business is being asked to move faster on AI and keep it safe at the same time. The problems show up quickly: runaway AI spend with no visibility of its impact, vibe-coded apps proliferating across the organisation, agents with access to data they shouldn’t have, and IT teams buried under review requests. Add shadow AI tools, fragmented vendor and model choices, inconsistent data handling, and a lack of audit trails, to name just a few, and the result is sprawl that compounds faster than any team can manage. The question for leaders is no longer whether to move fast, but how to do it without losing control. This session explores how these challenges show up across the full spectrum, from small teams moving fast with lightweight guardrails to highly regulated organisations with strict compliance demands. Drawing on real deployments in financial services, industrial and public sector environments, we’ll walk through the range of approaches, from regulator-facing use case management to security-hardened, self-hosted architectures built to satisfy architecture review and compliance requirements. You’ll see what “responsible AI” actually looks like in practice, not just in principle.