Summary:

Built embedded AI assistants to provide in-context knowledge, automate triage, and streamline workflows for a US-based software company.    

Context:

A software company wanted to reduce the cognitive load on their users and improve the efficiency of their complex application.     

Challenge:

• Large, complex knowledge base 

• High volume of support tickets requiring manual triage 

• Complex, multi-step workflows with many decision points 

Solutions Delivered:

• Developed an AI-powered knowledge assistant that provides in-context help 

• Built an AI-powered triage assistant that automatically categorizes and routes support tickets 

• Created an AI-powered workflow assistant that guides users through complex tasks   

Outcomes:

• 50% reduction in support ticket resolution time 

• 30% increase in user productivity 

• Improved user satisfaction and adoption 

Tech Stack:

• Azure AI Services

• .NET Core 

• React   

  
  

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