Building your Process Engine for AI Agents

Integrating AI agents into enterprise process engines can significantly enhance automation by allowing AI to handle tasks requiring judgment, traditionally managed by humans. However, existing process engines, designed for deterministic operations, are not naturally compatible with AI's probabilistic nature, leading to potential risks such as inconsistent decisions and audit trail gaps. The Vertesia Process Engine addresses these challenges by ensuring that AI agents operate within a defined scope, with the engine maintaining control over the workflow. This approach ensures that processes are both deterministic and capable of benefiting from AI reasoning where needed, facilitating safe and efficient AI deployment in enterprise settings. Additionally, the process design is made accessible through a conversational interface, allowing business stakeholders to define workflows without needing technical expertise, while the Temporal execution framework supports long-running tasks seamlessly, integrating human and automated actions with robust auditability.