Organizations face persistent challenges due to fragmented communication, repeated queries, and siloed knowledge across platforms like Teams and Slack.

• Repetitive employee queries
• Scattered internal knowledge across platforms (e.g., SharePoint, Slack, Confluence)
• Manual workflows like approvals, ticketing, and FAQs
• Delayed support resolution and productivity loss

• Instant Query Resolution: Enable 24/7 conversational support using a natural language interface.
• Automated Workflows: Handle approvals, meeting scheduling, FAQs, and ticket triage automatically.
• Knowledge Access and Referencing: Connect to internal documentation and databases for contextual responses.
• Insight Generation: Provide analytics on query trends, gaps in knowledge, and engagement patterns.

• Discovery & Requirements Gathering: Conducted stakeholder interviews and workshops to map critical workflows, user roles, and integration needs.
• Design & Conversational Flow Modeling: Built robust fallback mechanisms, escalation paths, and adaptive dialogue structures to ensure accuracy and user trust.
• Knowledge Integration: Connected enterprise content (e.g., Notion, Confluence, CRM) using advanced vector embeddings and retrieval-augmented generation (RAG) for context-aware responses.
• Prototype & Feedback Loop: Deployed a functional chatbot in Teams and Slack, collected real-time user feedback, and iteratively refined performance.

• Requirement Analysis: Stakeholder workshops to identify key workflows, integrations, and user personas.
• Bot Design: Defined fallback flows, escalation triggers, and interaction patterns.
• Knowledge Integration: Indexed enterprise content using vector embeddings and retrieval-augmented generation (RAG).
• Prototyping & Testing: Deployed chatbot in Slack/Teams for user feedback and iterative improvement.
• Rollout & Training: Delivered onboarding support and helpdesk data, while using user interactions to enhance the chatbot’s knowledge over time.