Moving Beyond Visual Heuristics in Agent Evaluation

Most current benchmarks for computer-use agents rely on visual similarity or simple action-sequence matching, which often fail to capture the nuances of enterprise software. ERPBench shifts the paradigm by introducing 'state-grounded' evaluation. Instead of merely checking if an agent clicked the right coordinates, the framework validates whether the agent's actions successfully transitioned the underlying enterprise application (ERP) to the desired state. This is critical because enterprise workflows often involve hidden backend processes, complex form validations, and multi-step dependencies that visual cues alone cannot verify.

The State-Grounded Paradigm

ERPBench addresses the 'black box' problem of enterprise interfaces by integrating directly with the application's state management. The evaluation process consists of three core components:

  1. State-Space Mapping: Defining the valid operational states within the ERP environment.
  2. Action Verification: Monitoring the agent's interaction logs against the application's API or database state to confirm that an action (e.g., 'Submit Invoice') actually resulted in the expected data change.
  3. Outcome Validation: Assessing the final state of the system against a ground-truth goal, ensuring that the agent didn't just perform the correct sequence of clicks, but achieved the correct business outcome.

Implications for Enterprise AI

By grounding evaluation in actual system state rather than pixel-based heuristics, ERPBench provides a more robust metric for reliability. This approach highlights the gap between agents that 'look' like they are working and those that are actually performing reliable business operations. The framework is designed to handle the high-stakes, error-intolerant nature of enterprise environments, where a 'hallucinated' click or a missed field validation can lead to significant data corruption or financial errors. This benchmark serves as a necessary step toward deploying autonomous agents in production environments where system integrity is paramount.