Artificial intelligence is now embedded in routine business operations, from fraud monitoring and customer support to medical decision support and retail recommendation engines. As these systems influence access to services, pricing, and even clinical outcomes, organisations face growing expectations to show that their AI is lawful, fair, explainable, and secure. This paper discusses what “ethical” and “responsible” AI mean in practical business terms and uses two widely cited governance references—the European Commission’s Ethics Guidelines for Trustworthy AI and the OECD AI Principles—to derive concrete actions for firms. Using a qualitative review of public documents and illustrative cases across finance, healthcare, and retail, we identify recurring concerns (bias, opacity, privacy, accountability) and the controls that leading organisations are adopting (impact assessment, model and data documentation, human oversight, and post‑deployment monitoring). The paper concludes with an actionable checklist that can help businesses integrate ethical safeguards into the AI lifecycle without slowing innovation.