AI Chat Bot

Developed and deployed an AI-powered chatbot leveraging advanced natural language processing (NLP) to enable real-time, context-aware conversations. Designed to support a range of use cases including customer support automation, internal knowledge retrieval, and task handling. Integrated with external APIs and internal data sources to deliver dynamic responses and personalized user experiences. Implemented robust error handling, content moderation, and adaptive learning features to ensure reliability, security, and compliance with Responsible AI standards. The solution demonstrates strong scalability, modular architecture, and effective user interaction design.

Microsoft Teams AI Bot

Key Features

Multi-turn Dialogue Management: Handles complex, back-and-forth conversations while maintaining context across turns.
API Integration: Connects with RESTful APIs, databases, and third-party services for real-time data access and task execution.
Personalization: Adapts responses based on user input, history, and preferences for a tailored experience.
Multilingual Support: Communicates in multiple languages to serve diverse user bases.
Content Filtering & Moderation: Implements Responsible AI policies to detect and block unsafe or inappropriate content.
Fallback & Error Handling: Provides safe fallback responses and gracefully manages unexpected input.
Session Memory: Remembers relevant information within sessions to enhance continuity and user experience.
Scalability: Designed with a modular architecture that supports high concurrency and easy deployment across platforms.
Analytics & Logging: Captures usage metrics, user behaviour, and error logs for continuous improvement and performance monitoring.
Cross-Platform Deployment: Usable on web, mobile, and enterprise tools like Microsoft Teams

Tailored Responses

Structured Guidance: Delivers clear, step-by-step instructions in a numbered list for better readability and actionability.
Tone Adaptability: Maintains a calm, professional, and reassuring tone appropriate for sensitive situations.
Source Referencing: Includes citations or references (e.g., "Banana Moon Day Nursery") for transparency and reliability.
AI-Generated Content Labelling: Clearly marks responses as AI-generated to ensure ethical transparency.
Real-Time Interaction: Responds promptly to user queries, supporting instant decision-making in urgent contexts.
User-Friendly Formatting: Uses bold text, bullets, and paragraph spacing to improve comprehension and accessibility.
Task-Oriented Design: Focused on practical problem-solving rather than open-ended conversation.
Domain Awareness: Tailors responses to specific professional settings (e.g., child care, education, health & safety).

Knowledge Source & Training

Company Websites: Pulls up-to-date, public-facing information directly from official corporate websites to answer customer-facing or policy-related queries.
SharePoint Pages: Integrates with internal SharePoint portals to access team-specific knowledge, standard operating procedures, and departmental updates.
Internal Documentation: References internal manuals, training guides, policy documents, and knowledge base articles to ensure accurate and consistent responses.
Always-On Sync: Periodically refreshes its knowledge base to align with the most recent content changes, ensuring relevance and accuracy.

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Tools Used in the AI Chatbot Solution

Power Virtual Agents Used to design, build, and deploy the AI chatbot interface. Power Virtual Agents enables the creation of intelligent, conversational experiences without the need for complex code. It supports natural language understanding, customizable dialogues, and integration with internal systems.
Power Automate Handles backend workflows and process automation triggered by user interactions with the chatbot. Power Automate enables seamless integration with data sources such as SharePoint, Microsoft Dataverse, Outlook, and third-party APIs. It ensures dynamic data retrieval, updates, and task automation in real-time as part of the chatbot’s response logic.
Microsoft Teams Serves as a deployment and interaction channel for the chatbot. By embedding the bot within Teams, users across the organization can engage with it directly in their daily workflow