Conversational Support Automation

Professional work · Collaborative project

Cognigy voice and chat flows for employee support.

Employee support needs clear answers, access to knowledge articles and a path to ticket creation or a live agent. Links and ticket numbers are easier to use in writing than when read aloud.

My contribution

How it works

Develop Cognigy voice and chat flows for the ServiceNow integration and integrate knowledge retrieval through Azure AI Search. Implemented post-call emails for links, ticket numbers and other written details; troubleshoot LLM query extraction and search API requests.

How it works

Ongoing development of Cognigy voice and chat flows for a ServiceNow integration targeting ticket creation, live-agent transfers and other support scenarios. Knowledge retrieval uses Azure AI Search, backed by scheduled Databricks article indexing.

CognigyServiceNowAzure AI SearchDatabricksLLM query extraction
Conversational AI / AgentsSchematic · Simplified view
  1. User interactionRequests through voice or chat
  2. Conversation flowCognigy voice and chat flows
  3. Knowledge retrievalAzure AI Search with scheduled Databricks indexing
  4. ServiceNow integrationTarget ticket creation and live-agent transfers
  5. Post-call emailSend links, ticket numbers and details in writing

Engineering decisions

Conversation design

Develop voice and chat flows targeting ticket creation, live-agent transfers and other support scenarios through ServiceNow.

Written follow-up

Implemented post-call emails so links, ticket numbers and other details arrive in writing rather than being read aloud.

Knowledge retrieval

Integrate Azure AI Search with scheduled Databricks article indexing, troubleshooting LLM query extraction and search API requests.

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