As AI begins to automate end-to-end processes across Global Business Services (GBS) and shared services functions, the risk profile shifts from isolated task errors to enterprise-wide operational, compliance, and reputational exposure. From biased decision-making in HR services to financial misstatements, data leakage, or regulatory violations in finance and procurement operations, many organisations lack the governance frameworks required to deploy autonomous AI safely at scale. This panel explores how GBS leaders can establish robust controls, clear accountability & transparency, and trust mechanisms while accelerating AI adoption.

• Establish clear accountability, governance, and ownership for AI across GBS functions and process towers

• Embed risk, compliance, and control requirements directly into AI design, build, and operational workflows within shared services environments

• Implement continuous monitoring, audit trails, and performance oversight to ensure transparency, reliability, and service quality

• Align AI deployment with evolving regulatory, data protection, and internal policy requirements to safeguard business continuity and reputation