As AI agents evolve from simple task automation to autonomous decision-makers, governance becomes a strategic imperative—not just a compliance checkbox. This session explores the emerging landscape of AI agent governance, drawing on real-world engagements and Sogeti’s infrastructure-first methodology. We’ll examine how organizations can design agentic systems with built-in observability, auditability, and policy-as-code guardrails to mitigate risks like hallucinations, bias, and uncontrolled autonomy. Attendees will learn how to assess agent readiness, define mission boundaries, and implement governance frameworks that scale across multi-agent workflows. The talk will also cover the trade-offs between control and autonomy, and how to align agent behavior with enterprise values and regulatory requirements. Whether you're deploying copilots, research agents, or workflow orchestrators, this session will equip you with the strategic and technical insights needed to govern AI agents responsibly and effectively.

Speaker: Jo Otey, US Chief Data and AI Architect, Sogeti

Chief Architect for Data and AI with over 10 years of experience in driving technology adoption, client satisfaction, and business growth. Expert in moving complex AI and data initiatives from ideation to full-scale implementation across multi-cloud environments, including Azure, GCP, and AWS. Skillfully bridges the gap between technical and business domains, leveraging deep expertise in ML/AI, Data Analytics, Generative AI, LLMs/SLMs, and Agentic AI Frameworks to deliver tailored solutions and outstanding customer experiences. Fosters collaboration and knowledge sharing in diverse teams, while maintaining a strong focus on quality, innovation, and the practical realities of enterprise AI adoption.