Scenario:

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An IT department in a mid-sized company receives numerous IT-related inquiries from employees daily. They aim to streamline support and reduce workload.

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Approach:

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• Create a knowledge article for every such employee enquiry by leveraging Q&A module within the Digital agent.
• Provide additional similar question samples for every knowledge article created to allow the AI model to automatically determine the accurate article for the enquiry.

Scenario:

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An HR department in a large organization needs to handle a variety of employee inquiries, from leave requests to policy questions.

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Approach:

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• Create Knowledge articles for every HR inquiry on leave, travel, pay policy etc., using the Q&A module within the Digital agent.
• Use AIML and NLU for improved recommendations over time with additional samples.
• Integrate with the HRMS application using Call API functionality to extend actions seamlessly, building the necessary flow, such as checking leave balance as an example for leave inquiries.

Scenario:

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A Large organization wants to utilize the Digital agent to recommend various skill enhancement programs for its employees by integrating their HR, Performance & Learning Management Systems.

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Approach:

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• Integrate the Digital Agent with HR and learning management apps for personalized skill recommendations using Call API functionality.
• Access the data available on those applications to obtain the user specific information.
• Design conversation flows to enable actions (e.g., subscribe to new training, push for completion of assigned programs) based on available user data.