Chatbot💬
Pattern to evaluate Choose by fitHuman control AI EmployeeRole + systems + policies CRMERPEmailApproval
AI agent vs chatbot: where an AI Employee fits
Use a chatbot when the main goal is conversation, information or data collection. Use an AI agent—or an AI Employee as a governed role—when work continues after the conversation and must coordinate actions, systems and controls.
Open comparison→AI agent◈
Pattern to evaluate Choose by fitHuman control AI EmployeeRole + systems + policies CRMERPEmailApproval
AI Employee vs AI agent
AI agent mainly describes a technical capability: interpreting goals, using tools and advancing tasks. AI Employee describes how those capabilities become a governed business role with responsibilities, authority boundaries and oversight the organisation can understand.
Open comparison→Choose by fitHuman control AI EmployeeRole + systems + policies CRMERPEmailApproval
RPA vs AI: when to use deterministic automation, agents or both
RPA fits repetitive, stable and deterministic steps. AI adds more value when language, context or exceptions matter. Many workflows combine both: AI interprets and coordinates while RPA executes well-defined legacy steps.
Open comparison→Traditional automation↻
Pattern to evaluate Choose by fitHuman control AI EmployeeRole + systems + policies CRMERPEmailApproval
AI vs traditional automation: use rules where rules are enough
Automate with rules what can be solved with rules. Use AI where variability, language or exceptions make purely deterministic automation insufficient.
Open comparison→AI copilot✦
Pattern to evaluate Choose by fitHuman control AI EmployeeRole + systems + policies CRMERPEmailApproval
AI agent vs copilot: direct assistance versus governed delegation
A copilot keeps a person as the primary operator at each step. An AI agent can receive delegated work and progress within boundaries. IA Empleado organises that delegation as a role with defined responsibilities, permissions and human control points.
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