As organizations increasingly adopt AI-driven workflow automation to streamline operations and enhance productivity, the imperative for Responsible AI becomes central. Responsible AI ensures that automated workflows are not only efficient but also fair, transparent, secure, and accountable. From loan approvals and KYC verifications in finance to customer service bots and predictive maintenance in telecom, AI agents make decisions that directly impact people. Embedding ethical principles into these systems helps prevent bias, safeguard data privacy, ensure explainability, and maintain regulatory compliance. This requires multidisciplinary governance, ethical auditing frameworks, and AI lifecycle management tools that monitor model behavior continuously. Responsible AI in workflow automation is not a technical feature—it is a leadership commitment to building trustworthy, inclusive, and human-centric automation systems that align with societal values and business integrity.