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Case Studies

Automation That Creates Business Value

Automation that creates measurable results. The examples below are illustrative placeholders until published client work is available.

Customer support team

Example
Problem
The support team handled repeated questions and manual ticket routing.
Solution
Built an AI support assistant and ticket triage automation that drafts responses and routes tickets.
Outcome
Reduced response time by 70%.
  • OpenAI
  • Next.js
  • PostgreSQL

Operations team

Example
Problem
The operations team manually processed large volumes of documents and copied data between systems.
Solution
Built an AI-assisted document processing workflow with validation, review, and database integration.
Outcome
Reduced document processing time by 90%.
  • Azure OpenAI
  • .NET
  • SQL Server

Engineering team

Example
Problem
The engineering team spent too much time writing release notes, reviewing repetitive pull requests, and answering internal documentation questions.
Solution
Built AI-powered developer productivity workflows for PR summaries, release notes, documentation search, and onboarding support.
Outcome
Saved 500+ engineering hours annually.
  • GitHub
  • Anthropic
  • Python

Enterprise organization

Example
Problem
Internal knowledge was spread across documents, systems, and team members, making answers hard to find.
Solution
Built a secure RAG-based AI assistant over company documentation with source grounding and data access controls.
Outcome
Improved internal knowledge access and reduced repeated questions.
  • Azure AI Search
  • LangGraph
  • Redis

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