AI Agents are intelligent, configurable automation components that can be embedded into workflows to make smart decisions, perform reasoning, and handle complex tasks automatically. They enhance workflow efficiency by analyzing data, recommending actions, or executing steps without manual intervention. AI Agents work within the Quixy platform alongside workflows and business rules to support dynamic and context-aware automation.
Note
AI Agents are an add-on feature and require a separate subscription.
AI Agents act as an intelligence layer within workflows. They operate on top of existing process logic and use application data to make decisions while the workflow is running.
They do not replace workflows or business rules. All routing, approvals, and automations continue to function as configured in Quixy. AI Agents assist these processes by improving how decisions are made and actions are selected.
In real business processes, decisions are rarely fixed. Data changes, inputs vary, and outcomes depend on multiple factors.
Traditional workflows rely on predefined conditions. As complexity increases, workflows become longer and harder to maintain. Each new exception requires additional rules.
AI Agents simplify this by handling reasoning dynamically. They evaluate context at runtime and determine the most appropriate action without requiring extensive rule definitions.
AI Agents support workflows by performing intelligent actions based on data and intent. They can:
These capabilities help workflows respond better to changing conditions.
With AI Agents, you focus on defining the goal instead of every possible scenario. The agent evaluates available information and decides how the process should proceed. These capabilities apply across workflows and business rules. This results in:
Within workflows, AI Agents guide execution by deciding what action should occur next. They help route records, trigger actions, or influence flow paths based on context rather than fixed conditions. They operate during workflow execution and support intelligent flow control.
In business rules, AI Agents assist with evaluating conditions and determining outcomes dynamically. They support decision logic where multiple inputs influence the final result. This allows business rules to remain flexible without becoming overly complex.
AI Agents focus on reasoning, decision making, and action support. They do not handle data capture, UI interactions, or manual configuration steps.