Scenario:

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The current chatbot struggles with IT inquiries, lacking precision in tasks like password resets and computer issues. An improved system is needed for more accurate and helpful user assistance.

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Approach:

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• Improve the digital agent’s understanding of common IT issues through enhanced Natural Language Understanding.
• Train the NLU model with diverse IT-related sample utterances for better accuracy in intent detection.
• Monitor the NLU performance based on user’s interactions to improve the accuracy.

Scenario:

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The current chatbot struggles with IT and HR distinctions, necessitating an improved system for accurate and appropriate user assistance in both departments.

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Approach:

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• Enhance digital agent’s NLU to discern IT and HR inquiries effectively.
• Train NLU model with specific IT and HR sample utterances for improved accuracy.
• Train NLU model with specific IT and HR sample utterances for improved accuracy.

Scenario:

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The current chatbot struggles to understand nuanced discussions about company policies and employee skill programs, requiring enhancement for more effective responses.

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Approach:

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• Update the utterances to identify the nuances in the conversations.
• Train the NLU model with simulations to understand the responses for such complex conversations.