Conversational AI Solutioning:
- Utilize data analysis tools and techniques to review and analyse conversational
- AI interactions across various channels (chat, voice, messaging platforms).
- Identify NLU Routes / Intents for use in conversations
- Model conversational flows through BPMN or other techniques
- Model Entity usage and prediction of the tools understanding of the conversation
- Support the integration of the platform into downstream systems that will provide the answers to requests or update request based on capture information
- Model Chat & Voice conversations
- Use Generative AI to enhance customer feedback and provide insights into their data
Generate Actionable Insights:
- Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact.
- Develop and present reports, dashboards, and visualizations to communicate insights to stakeholders.
- Continuous Improvement
- Stay informed about the latest advancements in conversational AI technologies and industry best practices.
- Contribute to the continuous improvement of the conversational AI applications by providing feedback and recommendations for future developments. Participate in the development of AI training data sets and annotation guidelines to improve the accuracy and relevance of the AI models.
Stakeholder Collaboration:
- Collaborate with the customer success team and assist in addressing customer feedback, inquiries, and issues related to conversational AI interactions.
- Engage with internal stakeholders to gather requirements, understand business objectives, and align AI strategies with organizational goals.