A multinational HR organization plans to automate onboarding across regional systems. As the AI Program Manager, you are asked to approve a solution…

The scenario requires a solution that can autonomously plan, execute, and adapt complex, multi-step processes across different systems. This goes beyond simple task automation. Agentic workflows are designed for this purpose; they use AI agents that can reason, create plans, use tools (interact with systems), and adjust their actions based on real-time outcomes to achieve a goal. This matches the need for autonomous planning, coordination, and exception handling within defined governance rules.

A. Intelligent automation is a broad category that includes agentic workflows, but it is not specific enough to describe the required autonomous planning and reasoning capabilities.

B. RPA with AI extraction focuses on automating repetitive tasks and extracting data. It lacks the advanced planning, dynamic adjustment, and autonomous decision-making capabilities described.

D. Document-based automation is limited to processing information within documents and is only one small component of a comprehensive onboarding process, not the overarching workflow solution.

1. Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., ... & Wang, X. (2023). A Survey on Large Language Model based Autonomous Agents. arXiv preprint arXiv:2308.11432. Section 2.1, "Definition of Agent," describes agents as entities capable of autonomous action, planning, and reasoning to achieve goals.

2. Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., ... & Wang, J. (2023). The Rise and Potential of Large Language Model Based Agents: A Survey. arXiv preprint arXiv:2309.07864. Section 3, "Agentic Architecture," details how agents use planning, memory, and tool use to execute complex tasks, aligning with the question's requirements.