Update

• This workshop has been accepted for NeurIPS 2026! We will be accepting paper submissions throughout August. We look forward to receiving many submissions. (July 31, 2026)

Where Agentic AI Meets the Real World of Work — Benchmarking, Evaluating, and Deploying Intelligent Agents for Complex Enterprise Operations at Scale. 

The primary goal of this workshop is to foster discussions and collaborations to build robust, efficient, and trustworthy Agentic AI technologies for complex and dynamic enterprise business operations. It aims to bridge the gap between cutting-edge Agentic AI research and the practical demands of enterprise deployment and rigorous evaluation.

This is the 2nd edition of the workshop, following the success of the 1st Workshop on Agentic AI Benchmarks and Applications for Enterprise Tasks, held at AAAI 2026 in Singapore. Details of the 1st workshop, including accepted papers, invited talk slides, and schedule, can be found on the Past Workshop page. 

The workshop will address the following specific issues:

• Benchmarking and Evaluation: Addressing the urgent need for robust benchmarks, datasets, and metrics to reliably evaluate Agentic AI systems for enterprise-level performance, safety, and reliability, including the challenges of creating realistic and representative enterprise task environments.

• Application of Agentic AI in Enterprise Settings: Exploring how Agentic AI can perform complex tasks such as understanding on-site operations, planning, observation, reflection, and system management within enterprise contexts.

• Safety, Robustness, and Trustworthiness in Real-World Deployment: failure detection and recovery, robustness to distribution shift and adversarial/unexpected inputs, guardrails and oversight mechanisms, and building trust in long-running autonomous agents in production. 

• Human-Agent Interaction in Enterprise Workflows: Development and deployment of intelligent assistants that augment human capabilities in business operations.

• Multimodal Reasoning for Enterprise Tasks: Integrating multimodal LLMs to handle diverse physical data (e.g., visual, textual, auditory) for robust decision-making and task execution in enterprises.

• Task Planning and Orchestration in Enterprise Environment: Strategies for integrating multiple agents and tools to achieve complex, multi-step enterprise goals.

• Others: We are also seeking a wide range of content related to Agentic AI technology.